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Danish Sharjeel - Backend & AI Engineer
4+ years building scalable APIs, async backends, and production RAG
pipelines.
Specialized in Python · FastAPI · Django · Qdrant · Vector
Search.
I scale systems, cut latency, and ship AI that actually works in
production.
▓▓ TECH STACK // TOOLS OF THE TRADE
▓▓ WORK HISTORY // PROFESSIONAL XP
- FastAPI platform serving ~40k active users — resolved critical performance bottlenecks
- Async processing improvements boosted throughput ~35%
- Qdrant retrieval pipelines cut query latency by ~40% via indexing + caching
- LLM pipelines for text, speech & image — sentiment analysis at scale
- Django scaled to ~1M requests/day, p95 latency stabilized at ~120ms
- Multi-tenant B2B document platform — strict data isolation, access control
- Async ingestion pipelines improved throughput ~30%
- PostgreSQL tuning cut query latency ~25%
- Celery + Redis for heavy background jobs — doc conversion, reporting
- Monolith → microservices: ~20% less server resource usage
- REST APIs with Django + Node.js for high-traffic client apps
- PostgreSQL/MySQL schema optimization — significantly faster queries
- Docker containerization + CI/CD to AWS & DigitalOcean
▓▓ PROJECTS // THINGS I BUILT
Legal document AI. Lawyers upload case files, query them in plain English. Source-cited answers grounded strictly in their docs. Zero hallucination.
Zero-bloat production backend starter. JWT auth, OAuth2 SSO, Argon2 hashing, rate limiting, structured logging. Ship secure apps fast.
Sales teams query Salesforce data in natural language. GPT-4 generates SQL, summarizes analytics, exports PDF/Excel. RBAC secured.