My professional title is AI/ML Engineer · Production AI Systems · RAG · AI Agents · ML Infrastructure.
My mission is building reliable AI systems across machine learning, retrieval, LLM orchestration, evaluation and production infrastructure.
- Engineering focus areas:
I am the Founding AI Engineer at EvidenceFirst, owning end‑to‑end production AI systems from architecture to deployment.
I am a maintainer and active contributor to OpenAgentHQ, advancing open‑source agent infrastructure and AI infrastructure tooling.
My ML infrastructure delivers roughly 160 requests per second with sub‑150 ms inference latency.
My GitHub repository currently has 1 star.
I focus on reliability and evaluation between AI models and production systems, using hybrid retrieval and LangGraph orchestration to build scalable, trustworthy AI services.
- RAG & Retrieval – hybrid retrieval, grounding, evaluation, and failure analysis
- LLM & Agent Systems – LangGraph orchestration, tool use, and multi‑agent workflows
- ML Systems – model serving, evaluation, monitoring, and production inference
- Backend & Infrastructure – FastAPI, async systems, PostgreSQL, Docker, and CI/CD
I maintain a public GitHub profile (@Nithin00614) where I showcase my AI/ML engineering work, focusing on scalable ML, deep learning and generative AI systems.
My GitHub handle is Nithin00614.
I am based in Bengaluru.
I joined GitHub in 2025 and currently have 2 followers.
I host 7 public Python repositories, each with 1‑2 stars, most recently updated in October 2026.
My Multi-Agent-Market-Intelligence-Layer repo uses LangGraph, RAG and tool‑based reasoning, has 2 stars and 1 fork, and was last updated 2026‑10.
The Production-Transaction-Risk-Scoring-System achieves 160 RPS, <150 ms latency and 0 % failure, and has 1 star, last updated 2026‑10.