Dharmendiran e

About Dharmendiran e

Automation Engineer (SDET) with 3.6 years of experience in designing and developing…

Experience

1. Gen Ai Engineer

   Tata Consultancy Services

   Jul 2022 — Present · Chennai, IN

   Designed and deployed LLM-powered applications using AWS Bedrock (Claude models) for natural language querying, automated content generation, and workflow automation, serving enterprise users in production environments. •Built scalable Retrieval-Augmented Generation (RAG) systems using embeddings and vector databases, reducing hallucinations by ~40% and improving answer relevance and accuracy by ~35%. •Engineered Agentic AI workflows using LangChain and LangGraph for multi-agent orchestration, tool calling, state management, and human-in-the-loop validation; leveraged LangSmith for tracing, evaluation, and performance monitoring, improving workflow reliability by ~30%. •Developed and deployed end-to-end ML pipelines using Amazon SageMaker, covering data preprocessing, feature engineering, model training, evaluation, and CI/CD-based deployment, reducing model deployment time by ~50%. •Applied advanced evaluation techniques (Precision, Recall, F1-score, ROC-AUC, Confusion Matrix) to ensure model robustness, increasing classification performance by ~20% through threshold tuning and feature optimization. •Designed and developed QueryAI Studio, a GenAI-powered NL-to-SQL platform using AWS Bedrock, Lambda, API Gateway, and Amazon RDS, enabling secure querying of enterprise databases and reducing manual SQL effort by ~60%. •Implemented schema-aware prompting, SQL validation layers, query sanitization, and execution guardrails to prevent invalid queries and ensure production-grade reliability and compliance. •Built a GenAI-powered BDD test scenario generator that converts Confluence documentation into Gherkin-based functional and regression scenarios, reducing manual test design effort by ~60% and improving QA coverage. •Collaborated cross-functionally with QA, product, and engineering teams to productionize GenAI and ML solutions with strong emphasis on monitoring, logging, scalability, and cost optimization.