Open to Senior AI/ML & Applied AI roles
I ship autonomous agent systems end to end.
Senior AI/ML engineer. Deepest in agentic AI — multi-agent orchestration, tool-use, planning, and the eval harnesses that gate every release — and I own the whole system around it: FastAPI backends, cloud infra, and the React frontend (like this one).
Multi-Agent OrchestrationTool-Use & PlanningAgent EvalsLLM SystemsFastAPI BackendsCloud InfraFull-Stack
gabbarx · online
Ankit Gautam
Senior AI/ML Engineer
84%
multi-hop QA
graph-RAG accuracy
4.8→1.9s
P50 latency
cut >60%
3+
LLM providers
routed w/ fallback
120K+
doc chunks
prod RAG at scale
Capabilities
What I can build
Agentic AI
- Agent orchestration (LangGraph)
- Tool-use & function calling
- State + validation loops
- Human-in-the-loop review checkpoints
- MCP integrations
- Prompt engineering
AI Engineering
- LLM systems (OpenAI, Anthropic)
- Citation-grounded RAG
- Hybrid retrieval (pgvector, Chroma, OpenSearch)
- Graph-RAG multi-hop (Neo4j)
- Eval harnesses gating releases
- Embeddings & reranking
Backend & Infra
- FastAPI & Django services
- Async Python, REST APIs
- AWS ECS Fargate · S3 · Lambda
- GCP Cloud Run · Pub/Sub
- Docker & CI/CD
- PostgreSQL · CloudWatch monitoring
Frontend
- React & TypeScript
- Next.js (App Router)
- Tailwind CSS
- Responsive, accessible UI
- This site is the proof