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Chethan S

@chethan_cs

Message

AI Engineer with 7+ years building production-ready GenAI/ML systems and RAG workflows using Python and AWS.

India

Message

What I'm looking for

I want to build and scale performance-focused, reliable GenAI/ML systems—especially RAG and agentic workflows—end-to-end on AWS with CI/CD, monitoring, and streaming/data pipelines that deliver measurable business impact.

I’m an AI Engineer with overall IT experience of 7+ years and 5.8+ years in AI/ML and GenAI systems. I specialize in integrating LLM APIs (OpenAI/ChatGPT, LangChain, RAG) into production workflows, with a proven track record of rapidly building POCs and scaling them into reliable, performance-focused systems.

In my recent work at L&T Technology Service Ltd, I developed LLM-based NLP and RAG systems for semantic search and Q&A, built and deployed ML/DL models on AWS SageMaker, and engineered production pipelines using Apache Spark, Kafka, Docker, Kubernetes, and CI/CD. I’ve delivered measurable results too—30%+ PFAS detection accuracy improvements using embedding and evaluation optimization, ~50% manual effort reduction in RoHS/REACH compliance review with agentic workflows (CrewAI/LangGraph), and a 40% reduction in prediction time after deploying a Diabetes model on AWS EC2 via Docker.

Experience

Work history, roles, and key accomplishments

AI/ML Engineer

L&T Technology Services Ltd

Sep 2021 - Apr 2026 (4 years 7 months)

Developed LLM-based NLP and RAG systems using LangChain for semantic search and Q&A, and deployed ML models to production with Docker and AWS SageMaker. Built data pipelines with Apache Spark and AWS services and delivered GenAI solutions such as a PFAS document chatbot that improved detection accuracy by 30%+.

Python LLMs (LangChain RAG AWS Sagemaker Docker CI CD Apache Spark Kafka PyTorch Prompt Engineering Generative AI Agentic AI

Operations Executive

Elastic Run

Nov 2019 - Sep 2021 (1 year 10 months)

Analyzed operations across 15+ hubs using Python and SQL, reducing inventory shrinkage by 15%. Conducted UAT and data validation with Python scripts and SQL, reducing vendor payment delays by 25%.

Python SQL UAT Data Validation Operations & Analytics Vendor Management Reporting

Graduate Trainee - Purchasing

BEML Limited

Jul 2018 - Jul 2019 (1 year)

Onboarded 15+ new vendors to expand the vendor pool and improve sourcing coverage. Managed and categorized customer orders for 50+ products, raising purchase orders to vendors to support timely fulfillment.

Vendor Onboarding Procurement Order Management Stakeholder Management