SURE NICHITH
I’m an AI Engineer in Hyderabad with 2+ years of experience building, deploying, and operating production LLM and RAG systems, along with a strong MLOps/LLMOps foundation.
About
I’m an AI Engineer in Hyderabad with 2+ years of experience building, deploying, and operating production LLM and RAG systems, along with a strong MLOps/LLMOps foundation. I work across the full lifecycle—designing retrieval and document ingestion pipelines, deploying inference services on Kubernetes, and improving reliability through observability and performance tuning.
In my current role, I’ve delivered production enterprise document Q&A using RAG with Hugging Face and LangChain on Azure Kubernetes Service, achieving sub-2-second response latency under concurrent load. I also contribute to multi-tenant GPU orchestration and agentic AI workflows, integrating robust CI/CD, security scanning, and model/service monitoring so teams can ship faster with confidence.
- 3 years' experience
- Joined October 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Professional Services
Work experience
Developed computer vision and embedded AI methods for in-vehicle driver distraction monitoring under the Beyond Safety research programme. Worked on data collection, experimentation, and on-device inference constraints; contributed to a published Indian patent.
Operate and scale an enterprise RAG chatbot platform on Azure Kubernetes Service. Built end-to-end RAG pipelines for multi-format ingestion, chunking, embedding generation, and ChromaDB retrieval, then exposed them via FastAPI inference services. Ensured sub-2-second latency under concurrent enterprise query load using autoscaling and capacity tuning. Developed agentic AI automation frameworks chaining LLM reasoning with internal platform APIs/tools. Implemented full-stack observability for AI services using Prometheus, Grafana, and OpenTelemetry to track latency, errors, resource saturation, and GPU utilization. Contributed to multi-tenant GPU orchestration with secure onboarding, tenant isolation, scheduling, and runtime observability.
Built an end-to-end smart-garden IoT system including a Flutter mobile application, a Flask REST API, and a Streamlit analytics dashboard. Enabled sensor-driven automated irrigation and remote device control.
Education
Certifications and awards
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