Headline

ML Engineer @ TCS | Generative AI | LLMs | RAG | MLOps | Databricks | MLflow | Python | SQL | NLP | Production ML Systems

About

Machine Learning Engineer at Tata Consultancy Services (TCS) specializing in Production Machine Learning Systems, Generative AI, and MLOps. I design and optimize machine learning solutions using Python, Databricks, MLflow, and SQL, with experience building end-to-end ML pipelines for training, evaluation, deployment, monitoring, and continuous improvement. My work focuses on developing scalable AI systems that deliver measurable business impact through model optimization, automation, and production-ready architectures. Beyond my professional experience, I actively build AI-powered products and applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and intelligent automation. Currently, I am building Apply Wise, an AI-powered Career Intelligence Platform that helps job seekers improve their application process through ATS scoring, resume optimization, job matching, workflow automation, and Generative AI-driven insights. Some of my recent AI projects include: • Apply Wise – AI Career Copilot for job search and application automation. • Docubot – RAG-powered document intelligence system for question answering over large documents. • Similar Image Finder – Deep Learning-based image retrieval system using feature extraction and similarity search. • Fake News Detection System – NLP-based machine learning classifier for detecting misinformation. Core Areas of Interest: • Machine Learning • Generative AI • Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • MLOps • NLP • Databricks & MLflow • AI Product Development • Intelligent Automation I am passionate about building practical AI solutions that bridge research and real-world business problems, and I enjoy collaborating with engineers, researchers, and product teams to create scalable AI-driven products.

Location

Noida

Work experience

Machine Learning Engineer at Tata Consultancy Services, Nov 2024 - Present · 1 yr 8 mos, Noida, Uttar Pradesh, India, • Designed and optimized machine learning solutions for an enterprise chatbot platform, improving model accuracy by 10% and reducing inference latency by 10% in production environments. • Built and maintained end-to-end ML pipelines using Databricks, MLflow, Python, and SQL for data processing, model training, evaluation, deployment, and monitoring. • Enhanced model performance through feature engineering, hyperparameter tuning, cross-validation, and inference pipeline optimization. • Implemented MLOps best practices including experiment tracking, model versioning, monitoring, and reproducible deployment workflows using MLflow and Git. • Collaborated with data scientists and data engineers to develop scalable ML solutions capable of handling large-scale enterprise datasets and evolving business requirements. • Utilized Spark, Databricks, and SQL to process and transform large datasets for machine learning model development and production deployment.

Education

b.tech cse, Machine learning and Artificial Intelligence, Lovely Professional University

Bachelor of Technology, Computer Science, Lovely Professional University