Engineering range for products that cross backend, AI, real-time, and security.

I can own backend traffic, build the React surface, connect AI systems, debug production bottlenecks, reverse-engineer provider protocols, and keep security risks visible.

Backend systems

Python, Django, Django REST Framework, FastAPI, Pydantic, REST APIs, 1M+ monthly request workloads, and business logic that stays understandable.

Databases and performance

PostgreSQL, Redis, MySQL, query optimisation, PgBouncer, indexing, query plans, pgvector, and 100K+ background-job throughput.

Frontend product surfaces

React, JavaScript, HTML, CSS, admin dashboards, product flows, and UI features scoped directly from product requirements.

AI and ML integration

RAG pipelines, Pinecone, OpenAI API, Claude Vision, AI agents, prompt engineering, semantic search, FaceNet, YuNet, and OCR/forensics models.

Async and real time

Celery, Django Channels, 20K WebSocket connection workloads, async/await, queues, dead-letter handling, Redis, and high-pressure real-time debugging.

Cloud, security, and automation

Docker, AWS EC2/S3, Nginx, Linux, CI/CD, Playwright, Pytest, OWASP Top 10, Burp Suite, protocol reverse engineering, and Django RCE risk analysis.

Ways I can plug into a team.

Build from zero

Turn an idea into a working product with backend, frontend, database, deployment, and operational structure.

Recover or accelerate a system

Reverse-engineer provider protocols, replace brittle vendor paths, find bottlenecks, and stabilize production systems without turning everything into a rewrite.

Add AI to an existing workflow

Build RAG, agents, OCR, vector search, Claude Vision review, and AI-assisted workflows around real business processes.

Own integrations and automation

Connect Meta Graph API, Slack, Shopify, 360dialog WhatsApp, browser automation, scripts, queues, and backend jobs.