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Available for Hire

AI Backend Engineer

I build production AI systems and scalable backend infrastructure. My core work is Python, Django, and FastAPI — with deep experience in RAG pipelines, LLM integration, and async processing. I've shipped AI assistants with zero-cost inference architecture, optimized APIs by 40-60%, and built systems handling real traffic on AWS and Azure.

Core Expertise

Python
Django
FastAPI
RAG Pipelines
LLM Integration (OpenAI, Gemini, Llama)
Qdrant
PostgreSQL
Celery/Redis
AWS
Elasticsearch

Relevant Projects

A selection of my work that demonstrates my capabilities as a AI Backend Engineer.

Frequently Asked Questions

What AI systems has Ankit built in production?
Ankit has built a production RAG assistant at ankitjang.one using Qdrant vector search, sentence-transformers embeddings, and multi-provider LLM fallback (Gemini/OpenAI/Llama) with zero-cost inference. At Saara Inc, he led SalesGPT — an AI sales assistant for e-commerce built on OpenAI GPT-3.5/GPT-4 with 40% cost optimization through caching and request throttling.
Can Ankit optimize existing backend systems?
Yes. Ankit specializes in backend performance optimization — led a company-wide Django-to-Jinja migration reducing page load from ~1000ms to <200ms (5x improvement), optimized APIs by 40-60% via N+1 elimination, index additions, and Celery/Redis async offloading. He writes about these techniques in his blog on backend performance optimization.

Ready to work together?

I'm currently available for remote opportunities. Let's discuss how I can help bring your vision to life.