Skills & Expertise

Full-stack capabilities across AI, Web3, and modern cloud infrastructure — from design to deployment.

Languages

Python
TypeScript
JavaScript
SQL
Go (basic)
Shell

Frameworks & Libraries

Next.js
React
Django
Flask
FastAPI
Node.js

AI & LLM

OpenAI
Claude
Gemini
Ollama/llama.cpp
RAG (Postgres + embeddings)
Prompt Engineering
Function/Tool Calling

Data & Databases

PostgreSQL
Supabase
Vector Search
ETL Pipelines
Scrapers (Playwright)

Infrastructure

Docker
WSL + CUDA
AWS (EC2/Lambda)
Cloudflare Tunnels
ngrok
GitHub Actions

Integrations

Zoho Books
Telegram
Discord
Gmail/Docs/Drive
Stripe (basic)
ComfyUI

Technical Deep Dives

LLM Operations

  • ▸Tool calling and function execution
  • ▸Deterministic planners and workflows
  • ▸Guardrails and validation
  • ▸Prompt versioning and evals

RAG Systems

  • ▸Postgres + embeddings for vector search
  • ▸Query planning and optimization
  • ▸Re-ranking for domain QA
  • ▸Hybrid search (semantic + keyword)

Pipeline Orchestration

  • ▸n8n for DAGs and workflows
  • ▸Retries and error handling
  • ▸Alerting and monitoring
  • ▸Human approval checkpoints

Infrastructure

  • ▸Cloudflare tunnels for secure access
  • ▸Dockerized service deployment
  • ▸EC2 runners for compute
  • ▸GPU local dev (WSL + CUDA)

How I Learn

Learn by building. Every project teaches me something new — whether it's a new AI model, a Web3 protocol, or an integration API.

Production over perfection. I prioritize shipping working systems and iterating based on real user feedback over endlessly polishing in development.

Stay current. I actively follow AI research, Web3 developments, and infrastructure trends to ensure my stack remains relevant.