ABOUT
AI Engineer building systems that retrieve, reason, and act reliably.
I'm Anupam Kumar, an AI Engineer and Computer Science graduate from IIITM Gwalior ('25), working at the intersection of applied AI and backend engineering — RAG, agentic workflows, computer vision, and the infrastructure that takes them from demo to production.
I've built production RAG platforms for enterprise clients across legal, real estate, and knowledge-management domains, engineered FastAPI backends on AWS with Docker and Redis, and shipped document-intelligence pipelines that process real documents at high accuracy — systems tested against real usage, not just benchmarks.
I take on problems slightly beyond what I already know, break them, and come back understanding them properly — because that's how reliable systems get built.
Core Areas
EXPERIENCE
Freelance AI Engineer
Independent Contractor
Remote
- ✦Built multi-domain RAG retrieval systems for legal and enterprise knowledge bases using LangChain and FAISS, raising benchmark retrieval accuracy from 71% to 88% across a 25K+ document corpus.
- ✦Designed multilingual AI voice agents spanning 4 Indian languages, integrating voice AI, the WhatsApp Business API, and CRM workflows to automate scheduling and client follow-ups end-to-end.
AI Engineer — Applied AI & Backend Systems
Yahweh Innovations — AI Solutions & Consulting
Remote
- ✦Owned end-to-end delivery of production RAG knowledge platforms for 5 enterprise clients, automating support and onboarding for 10K+ monthly AI requests.
- ✦Engineered multi-service FastAPI backends on AWS with Docker and Redis, adding async processing and CI/CD automation that doubled deployment throughput and cut release cycles to minutes.
- ✦Delivered an AI document-intelligence pipeline for lease audits, achieving 94.6%+ accuracy across 150+ documents and trimming turnaround time to 15 minutes.
Featured Projects
Swipe to explore my latest work
Skills & Expertise
Designing intelligent systems that combine LLMs, retrieval architectures, backend platforms, observability, and cloud infrastructure for production environments.
LLM Engineering
Building production LLM applications with retrieval, agent workflows, semantic search, model serving, and orchestration frameworks.
Retrieval Systems
Designing knowledge systems powered by hybrid retrieval, reranking, vector search, graph reasoning, and citation-grounded responses.
AI Platform Engineering
Developing scalable backend systems, APIs, microservices, and workflow automation platforms for production AI applications.
Computer Vision
Building OCR pipelines, document intelligence systems, image processing workflows, and deep learning applications.
Cloud Infrastructure
Deploying containerized applications with CI/CD, cloud-native architectures, automation workflows, and scalable infrastructure.
MLOps & Observability
Ensuring reliability through monitoring, evaluation, experimentation, telemetry, and continuous improvement pipelines.
Let's Connect
Open to AI engineering roles, Graph-RAG consulting, and technical collaborations.