Yamini Durga

About Yamini Durga

Results-driven AI/ML Engineer with Around 4+ years of experience designing, developing, and deploying machine learning models and data-driven solutions across healthcare, fintech, and other domains. Skilled in end-to-end ML pipelines, MLOps, model optimization, and real-time inference systems. Proficient in Python, TensorFlow, PyTorch, AWS, Spark, and containerization tools. Adept at collaborating in Agile environments to deliver scalable, intelligent systems that solve real-world problems and boost business KPIs.

Experience

1. Machine Learning Engineer

   Tata Consultancy Services

   Mar 2025 — Present · New York, NY, US

   Redesigned RAG-based GenAI pipelines to resolve production latency regressions, improving retrieval quality and enforcing guardrails with product and risk teams• Built secure AWS SageMaker training and deployment workflows with strict data residency controls, ensuring PII compliance while enabling reusable feature engineering• Implemented CI/CD pipelines for ML services using CodePipeline, CodeBuild, and ECR, streamlining deployment of models, configurations, and infrastructure• Led cross-functional collaboration across data science, platform, and application teams to deliver agentic LLM workflows with defined SLAs, observability, and incident response standards• Standardized ML development by creating a unified MLOps template, reducing environment drift and improving consistency between experimentation and production• Deployed LLM-powered APIs using SageMaker endpoints, API Gateway, and Lambda with request-level tracing and feature logging for performance monitoring• Designed governance and monitoring frameworks using CloudWatch, S3 logging, and evaluation pipelines to track model drift, safety risks, and prompt stability

Education

• Velagapudi Ramakrishna Siddhartha Engineering College

  B.Tech, EEE

  2018 — 2022

• University of New Haven

  Master's degree, Data Science