Core Technical Stack & Tooling

Technical Skills & Competencies

An in-depth breakdown of languages, frameworks, machine learning models, database systems, and infrastructure tools utilized in production.

95%

Frontend Engineering

Client Architecture & UI Systems

React Next.js TypeScript Tailwind CSS HTML5 / CSS3 JavaScript (ES6+)

92%

Microservices & REST/GraphQL APIs

Node.js Express Python FastAPI RESTful APIs GraphQL

88%

GenAI, RAG & Agent Workflows

PyTorch OpenAI API LangChain Hugging Face Prompt Engineering Vector DBs (Pinecone)

90%

Relational, Document & Cache Layers

MongoDB PostgreSQL Redis Firebase Prisma ORM Supabase

85%

Continuous Delivery & Serverless Edge

Docker Git & GitHub Linux Server Admin CI/CD Pipelines Vercel AWS (EC2/S3)

94%

Reliability, Testing & Security

System Design Postman / API Testing Agile / Scrum Performance Tuning Zero-Trust Security

Engineering Discipline

Principles that guide my daily architectural decisions and codebase hygiene.

I leverage TypeScript across the stack to catch structural defects early, maintaining self-documenting APIs and predictable data flow.

Every AI project is built with proxy security, token streaming, automated retries, and strict schema validation for hallucination-free outputs.

Strict optimization of Core Web Vitals, tree-shaking, lazy-loading, database query indexing, and caching at the edge.