arvind sunil

I am a B.Tech Computer Science student specializing in machine learning, MLOps, and full‑stack development with proven internship experience at Zoho and CAVZ. I build production‑ready APIs and ML pipelines that improve operational efficiency and recruiter throughput.

At Zoho, I developed an NER job parser using XLNet that achieved 87% accuracy in skill extraction and cut HR manual effort by 75%, and I built a resume matching engine using embeddings that doubled recruiter throughput. I collaborated with data scientists to boost model recall by 20% and deployed code used by five internal teams.

At CAVZ I designed and deployed RESTful services with Node.js, Express, and PostgreSQL, containerized with Docker and orchestrated on Kubernetes to raise uptime from 92% to 99%. I also optimized APIs with Redis caching and automated CI/CD with GitHub Actions, reducing deployment time by 40%.

I deliver reproducible MLOps workflows and scalable retrieval systems — examples include a collaborative AI lab assistant integrating MLflow, MCP, LangChain, and FastAPI, and a graph‑based RAG legal assistant built with Neo4j and LangChain that reduced hallucinations by 30%. I seek roles where I can ship robust ML infrastructure and end‑to‑end systems.