Varun Kumaar
@varunkumaar
I’m an AI backend engineer building high-performance Python systems for enterprise RAG and agents.
IndiaWhat I'm looking for
I’m an AI Backend Engineer with 9 years of experience delivering high-performance Python systems at enterprise scale. I’ve built production-grade RAG platforms and agentic AI workflows using LangChain, LangGraph, FastAPI, and AWS—driving measurable outcomes like 92% API latency reduction and 99.9% uptime across critical systems.
At Deloitte USI, I designed a semantic API solution and engineered agentic workflows end-to-end (retrieval → grading → query rewriting → grounded generation with Pydantic validation), with LangSmith tracing for observability. I also redesigned ETL pipelines with Apache Airflow to cut nightly processing from 8 hours to 30 minutes, led a cross-functional team of 8 engineers, and shipped major features while maintaining reliability through rigorous incident management.
Experience
Work history, roles, and key accomplishments
Serves as Head of the I&T Culture Council for Deloitte USI.
Designed and implemented a production-grade RAG platform using LangChain with PostgreSQL/pgvector semantic retrieval and LLM orchestration. Built agentic workflows with LangGraph and implemented FastAPI microservices and ETL pipeline improvements to improve reliability, latency, and processing time.
Designed an event-driven data pipeline on AWS using SNS, S3, and Lambda with fault-tolerant retry logic and end-to-end delivery guarantees. Implemented CI/CD with AWS CodePipeline and optimized database schema/query architecture to reduce cloud costs.
Built a serverless notification engine on AWS Lambda and S3, processing high-volume events with auto-scaling and high delivery accuracy. Developed a data lifecycle management system and implemented monitoring and automated alerting using CloudWatch to improve incident response time.
Developed and maintained RESTful APIs across multiple internal platforms, supporting high request volumes with low response times. Introduced automated regression testing to reduce bug escapes and supported coordinated product update deployments to maintain platform stability.
Education
Degrees, certifications, and relevant coursework
Prathyusha Engineering College
Bachelor of Engineering, Electronics & Communication Engineering
2012 - 2016
Completed a B.E. in Electronics and Communication Engineering at Prathyusha Engineering College, affiliated with Anna University, from 2012 to 2016.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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