Building with Modern, Battle-Tested Technologies

Technology choices matter. Every stack recommendation is based on real production experience, proven performance, and long-term maintainability.

Technology Selection Philosophy

How I choose the right technologies for your project's specific needs

Project Requirements First

We don't force a technology—we match it to your needs

Considerations:

•Performance requirements: Real-time? High throughput? Low latency?
•Scalability needs: 100 users? 10M users? Growth trajectory?
•Compliance requirements: HIPAA? SOC 2? FedRAMP?
•Team skills: Existing team capabilities? Hiring plans?
•Budget constraints: Managed services vs self-hosted? Open source?

Proven in Production

We only recommend technologies we've used successfully

Criteria:

✓Battle-tested in real projects
✓Active community and support
✓Clear upgrade paths
✓Good documentation
✓Long-term viability

Future-Proof Approach

Think 5+ years ahead

Strategies:

→Modern architectures (microservices, serverless)
→Cloud-native design
→API-first development
→Scalable from day one
→Easy to maintain and extend

Developer Experience Matters

Happy developers = better code

Factors:

⚡Type safety (TypeScript, type hints)
⚡Good tooling (IDE support, debugging)
⚡Fast feedback loops (hot reload, fast tests)
⚡Clear error messages
⚡Great documentation

Complete Technology Portfolio

Full stack expertise across frontend, backend, databases, cloud, and AI/ML technologies

🐍

Python

Programming Language

Experience

8+ years

Proficiency

Professional experience with Python for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

💛

JavaScript

Programming Language

Experience

8+ years

Proficiency

Professional experience with JavaScript for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

📘

TypeScript

Programming Language

Experience

5+ years

Proficiency

Professional experience with TypeScript for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

🔵

Go

Programming Language

Experience

3+ years

Proficiency

Professional experience with Go for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

☕

Java

Programming Language

Experience

4+ years

Proficiency

Professional experience with Java for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

💠

C#

Programming Language

Experience

5+ years

Proficiency

Professional experience with C# for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

⚙️

C++

Programming Language

Experience

3+ years

Proficiency

Professional experience with C++ for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

🔧

C

Programming Language

Experience

3+ years

Proficiency

Professional experience with C for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

🦀

Rust

Programming Language

Experience

2+ years

Proficiency

Professional experience with Rust for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

Showing 1-9 of 108 technologies

...

AI & Machine Learning Expertise

Cutting-edge AI/ML technologies for intelligent applications and automation

🧠

OpenAI / GPT APIs

2+ years

Expert-level implementation of OpenAI's GPT models for intelligent applications and automation.

Use Cases:

•Intelligent chatbots and customer service automation
•Content generation and summarization
•Code generation and documentation
•Semantic search and knowledge bases
•Sentiment analysis and feedback categorization

Technologies Used With:

LangChain for orchestration

Pinecone/Weaviate for vector storage

Function calling for tool integration

Streaming for real-time responses

🎯

TensorFlow & Keras

4+ years

Comprehensive experience building and deploying custom machine learning models at scale.

Use Cases:

•Custom ML model development
•Image classification and object detection
•Time series prediction and forecasting
•Recommendation systems
•Anomaly detection

Specializations:

Transfer learning with pre-trained models

Custom training pipelines

Model optimization (quantization, pruning)

TensorFlow Serving for production deployment

TensorFlow Lite for mobile/edge devices

🔥

PyTorch

3+ years

Advanced PyTorch development for research, prototyping, and production ML systems.

Use Cases:

•Research and prototyping
•Natural language processing (NLP)
•Computer vision applications
•Generative AI models
•Reinforcement learning

Specializations:

Custom architecture development

Fine-tuning large language models

PyTorch Lightning for scalable training

ONNX export for cross-platform deployment

🤗

Hugging Face Transformers

2+ years

Expert implementation of pre-trained language models and transformers for NLP tasks.

Use Cases:

•Pre-trained language model deployment
•Text classification and NER
•Question answering systems
•Text generation and summarization
•Translation and multilingual support

Technologies Used With:

BERT, RoBERTa, DistilBERT for classification

GPT-2, GPT-Neo for generation

T5 for text-to-text tasks

CLIP for image-text understanding

Whisper for speech recognition

🔗

LangChain & LlamaIndex

18+ months

Cutting-edge RAG systems and AI agent development using modern LLM orchestration frameworks.

Use Cases:

•RAG (Retrieval Augmented Generation) systems
•Conversational AI with memory
•Document Q&A and knowledge bases
•Agent-based automation
•Multi-step reasoning workflows

Specializations:

Custom chain development

Vector database integration (Pinecone, Weaviate, Chroma)

Memory management and conversation state

Tool integration and function calling

Prompt engineering and optimization

🗄️

Vector Databases

2+ years

Advanced implementation of vector databases for semantic search and AI memory systems.

Use Cases:

•Semantic search engines
•Recommendation systems
•Duplicate detection
•Image similarity search
•Long-term memory for AI agents

Technologies Used With:

Pinecone (managed)

Weaviate (self-hosted)

Chroma (embedded)

Qdrant (high-performance)

pgvector (PostgreSQL extension)

Proven Stack Combinations

Battle-tested technology combinations for different project types and requirements

AI-Powered SaaS

Best For: Intelligent business applications, automation tools

Complete stack for building AI-enhanced SaaS products with modern web technologies.

Frontend:

Next.js 14

TypeScript

Tailwind CSS

Backend:

Node.js

Express

Prisma

AI/ML:

OpenAI GPT-4

LangChain

Pinecone

Database:

PostgreSQL

Redis

Cloud:

AWS Lambda

AWS RDS

AWS S3

Use Cases:

AI writing assistant

Intelligent customer support

Document analysis and summarization

Automated workflow tools

Real-Time Collaboration Platform

Best For: Team tools, communication apps, live editing

High-performance stack for applications requiring real-time synchronization.

Frontend:

React

TypeScript

TailwindCSS

Backend:

Node.js

Socket.io

Redis

Database:

PostgreSQL

MongoDB

Cloud:

AWS EC2

AWS ElastiCache

AWS S3

CloudFront

Use Cases:

Project management tools

Collaborative document editing

Team chat applications

Live dashboards

Mobile-First Startup

Best For: Consumer apps, on-demand services

Optimized for rapid mobile app development with cross-platform capabilities.

Frontend:

React Native

Expo

Backend:

Python FastAPI

PostgreSQL

Database:

PostgreSQL

Redis

Cloud:

AWS Fargate

AWS RDS

AWS S3

Use Cases:

On-demand delivery apps

Social networking

Booking platforms

Fitness/health trackers

Enterprise B2B SaaS

Best For: Complex business logic, compliance requirements

Enterprise-grade stack with focus on security, compliance, and scalability.

Frontend:

Next.js

TypeScript

Shadcn/ui

Backend:

.NET Core

Entity Framework

Database:

PostgreSQL

Redis

Cloud:

Azure App Service

Azure SQL

Azure Blob Storage

Use Cases:

HR management systems

Financial software

Healthcare platforms

Government applications

E-commerce Platform

Best For: Online stores, marketplaces

High-performance e-commerce stack with focus on conversion and user experience.

Frontend:

Next.js

TypeScript

TailwindCSS

Backend:

Node.js

Prisma

PostgreSQL

Database:

PostgreSQL

Redis

Elasticsearch

Cloud:

AWS ECS

AWS RDS

AWS S3

CloudFront

Use Cases:

Direct-to-consumer stores

Multi-vendor marketplaces

Subscription box services

Digital product sales

Data-Intensive Analytics Platform

Best For: Business intelligence, data processing

Optimized for processing and visualizing large datasets with real-time insights.

Frontend:

React

TypeScript

D3.js

Backend:

Python FastAPI

Celery

Database:

PostgreSQL

TimescaleDB

Redis

Cloud:

AWS EC2

AWS RDS

AWS S3

AWS Redshift

Use Cases:

Business analytics dashboards

IoT data processing

Financial reporting

Supply chain analytics

Professional Certifications

Industry-recognized certifications demonstrating expertise and commitment

☁️

AWS Certified Solutions Architect - Professional

Amazon Web Services

2024

Current

☁️

Microsoft Azure Developer Associate

Microsoft

2023

Current

☁️

Google Cloud Professional Cloud Architect

Google Cloud

2024

Current

🤖

TensorFlow Developer Certificate

TensorFlow

2023

Current

🗄️

MongoDB Certified Developer

MongoDB University

2023

Current

🤖

AWS Machine Learning Specialty

Amazon Web Services

In Progress

🐳

Certified Kubernetes Administrator (CKA)

Cloud Native Computing Foundation

In Progress

Building with Modern, Battle-Tested Technologies

Technology choices matter. Every stack recommendation is based on real production experience, proven performance, and long-term maintainability.

Technology Selection Philosophy

How I choose the right technologies for your project's specific needs

Project Requirements First

We don't force a technology—we match it to your needs

Considerations:

•Performance requirements: Real-time? High throughput? Low latency?
•Scalability needs: 100 users? 10M users? Growth trajectory?
•Compliance requirements: HIPAA? SOC 2? FedRAMP?
•Team skills: Existing team capabilities? Hiring plans?
•Budget constraints: Managed services vs self-hosted? Open source?

Proven in Production

We only recommend technologies we've used successfully

Criteria:

✓Battle-tested in real projects
✓Active community and support
✓Clear upgrade paths
✓Good documentation
✓Long-term viability

Future-Proof Approach

Think 5+ years ahead

Strategies:

→Modern architectures (microservices, serverless)
→Cloud-native design
→API-first development
→Scalable from day one
→Easy to maintain and extend

Developer Experience Matters

Happy developers = better code

Factors:

⚡Type safety (TypeScript, type hints)
⚡Good tooling (IDE support, debugging)
⚡Fast feedback loops (hot reload, fast tests)
⚡Clear error messages
⚡Great documentation

Complete Technology Portfolio

Full stack expertise across frontend, backend, databases, cloud, and AI/ML technologies

🐍

Python

Programming Language

Experience

8+ years

Proficiency

Professional experience with Python for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

💛

JavaScript

Programming Language

Experience

8+ years

Proficiency

Professional experience with JavaScript for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

📘

TypeScript

Programming Language

Experience

5+ years

Proficiency

Professional experience with TypeScript for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

🔵

Go

Programming Language

Experience

3+ years

Proficiency

Professional experience with Go for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

☕

Java

Programming Language

Experience

4+ years

Proficiency

Professional experience with Java for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

💠

C#

Programming Language

Experience

5+ years

Proficiency

Professional experience with C# for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

⚙️

C++

Programming Language

Experience

3+ years

Proficiency

Professional experience with C++ for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

🔧

C

Programming Language

Experience

3+ years

Proficiency

Professional experience with C for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

🦀

Rust

Programming Language

Experience

2+ years

Proficiency

Professional experience with Rust for modern software development and enterprise solutions.

Use Cases

✓Production applications
✓Enterprise solutions
✓Scalable systems

Notable Projects

•Enterprise-grade applications
•Government and private sector projects

Specializations

Production deployment

Best practices implementation

Performance optimization

Hover for details

Showing 1-9 of 108 technologies

...

AI & Machine Learning Expertise

Cutting-edge AI/ML technologies for intelligent applications and automation

🧠

OpenAI / GPT APIs

2+ years

Expert-level implementation of OpenAI's GPT models for intelligent applications and automation.

Use Cases:

•Intelligent chatbots and customer service automation
•Content generation and summarization
•Code generation and documentation
•Semantic search and knowledge bases
•Sentiment analysis and feedback categorization

Technologies Used With:

LangChain for orchestration

Pinecone/Weaviate for vector storage

Function calling for tool integration

Streaming for real-time responses

🎯

TensorFlow & Keras

4+ years

Comprehensive experience building and deploying custom machine learning models at scale.

Use Cases:

•Custom ML model development
•Image classification and object detection
•Time series prediction and forecasting
•Recommendation systems
•Anomaly detection

Specializations:

Transfer learning with pre-trained models

Custom training pipelines

Model optimization (quantization, pruning)

TensorFlow Serving for production deployment

TensorFlow Lite for mobile/edge devices

🔥

PyTorch

3+ years

Advanced PyTorch development for research, prototyping, and production ML systems.

Use Cases:

•Research and prototyping
•Natural language processing (NLP)
•Computer vision applications
•Generative AI models
•Reinforcement learning

Specializations:

Custom architecture development

Fine-tuning large language models

PyTorch Lightning for scalable training

ONNX export for cross-platform deployment

🤗

Hugging Face Transformers

2+ years

Expert implementation of pre-trained language models and transformers for NLP tasks.

Use Cases:

•Pre-trained language model deployment
•Text classification and NER
•Question answering systems
•Text generation and summarization
•Translation and multilingual support

Technologies Used With:

BERT, RoBERTa, DistilBERT for classification

GPT-2, GPT-Neo for generation

T5 for text-to-text tasks

CLIP for image-text understanding

Whisper for speech recognition

🔗

LangChain & LlamaIndex

18+ months

Cutting-edge RAG systems and AI agent development using modern LLM orchestration frameworks.

Use Cases:

•RAG (Retrieval Augmented Generation) systems
•Conversational AI with memory
•Document Q&A and knowledge bases
•Agent-based automation
•Multi-step reasoning workflows

Specializations:

Custom chain development

Vector database integration (Pinecone, Weaviate, Chroma)

Memory management and conversation state

Tool integration and function calling

Prompt engineering and optimization

🗄️

Vector Databases

2+ years

Advanced implementation of vector databases for semantic search and AI memory systems.

Use Cases:

•Semantic search engines
•Recommendation systems
•Duplicate detection
•Image similarity search
•Long-term memory for AI agents

Technologies Used With:

Pinecone (managed)

Weaviate (self-hosted)

Chroma (embedded)

Qdrant (high-performance)

pgvector (PostgreSQL extension)

Proven Stack Combinations

Battle-tested technology combinations for different project types and requirements

AI-Powered SaaS

Best For: Intelligent business applications, automation tools

Complete stack for building AI-enhanced SaaS products with modern web technologies.

Frontend:

Next.js 14

TypeScript

Tailwind CSS

Backend:

Node.js

Express

Prisma

AI/ML:

OpenAI GPT-4

LangChain

Pinecone

Database:

PostgreSQL

Redis

Cloud:

AWS Lambda

AWS RDS

AWS S3

Use Cases:

AI writing assistant

Intelligent customer support

Document analysis and summarization

Automated workflow tools

Real-Time Collaboration Platform

Best For: Team tools, communication apps, live editing

High-performance stack for applications requiring real-time synchronization.

Frontend:

React

TypeScript

TailwindCSS

Backend:

Node.js

Socket.io

Redis

Database:

PostgreSQL

MongoDB

Cloud:

AWS EC2

AWS ElastiCache

AWS S3

CloudFront

Use Cases:

Project management tools

Collaborative document editing

Team chat applications

Live dashboards

Mobile-First Startup

Best For: Consumer apps, on-demand services

Optimized for rapid mobile app development with cross-platform capabilities.

Frontend:

React Native

Expo

Backend:

Python FastAPI

PostgreSQL

Database:

PostgreSQL

Redis

Cloud:

AWS Fargate

AWS RDS

AWS S3

Use Cases:

On-demand delivery apps

Social networking

Booking platforms

Fitness/health trackers

Enterprise B2B SaaS

Best For: Complex business logic, compliance requirements

Enterprise-grade stack with focus on security, compliance, and scalability.

Frontend:

Next.js

TypeScript

Shadcn/ui

Backend:

.NET Core

Entity Framework

Database:

PostgreSQL

Redis

Cloud:

Azure App Service

Azure SQL

Azure Blob Storage

Use Cases:

HR management systems

Financial software

Healthcare platforms

Government applications

E-commerce Platform

Best For: Online stores, marketplaces

High-performance e-commerce stack with focus on conversion and user experience.

Frontend:

Next.js

TypeScript

TailwindCSS

Backend:

Node.js

Prisma

PostgreSQL

Database:

PostgreSQL

Redis

Elasticsearch

Cloud:

AWS ECS

AWS RDS

AWS S3

CloudFront

Use Cases:

Direct-to-consumer stores

Multi-vendor marketplaces

Subscription box services

Digital product sales

Data-Intensive Analytics Platform

Best For: Business intelligence, data processing

Optimized for processing and visualizing large datasets with real-time insights.

Frontend:

React

TypeScript

D3.js

Backend:

Python FastAPI

Celery

Database:

PostgreSQL

TimescaleDB

Redis

Cloud:

AWS EC2

AWS RDS

AWS S3

AWS Redshift

Use Cases:

Business analytics dashboards

IoT data processing

Financial reporting

Supply chain analytics

Professional Certifications

Industry-recognized certifications demonstrating expertise and commitment

☁️

AWS Certified Solutions Architect - Professional

Amazon Web Services

2024

Current

☁️

Microsoft Azure Developer Associate

Microsoft

2023

Current

☁️

Google Cloud Professional Cloud Architect

Google Cloud

2024

Current

🤖

TensorFlow Developer Certificate

TensorFlow

2023

Current

🗄️

MongoDB Certified Developer

MongoDB University

2023

Current

🤖

AWS Machine Learning Specialty

Amazon Web Services

In Progress

🐳

Certified Kubernetes Administrator (CKA)

Cloud Native Computing Foundation

In Progress