Riyanshu Garg

Machine Learning Engineer with 2+ years of industry experience in designing, developing, and deploying scalable ML and Generative AI systems using Python and C++. Strong background in Large Language Models (LLMs), LLM fine-tuning, embeddings, Retrieval-Augmented Generation (RAG), and backend development with FastAPI. Experienced in building agentic AI systems, API-driven services, and performance-optimized inference pipelines for real-world business use cases.

Machine Learning Engineer at Tata Consultancy Services Pvt. Ltd. (TCS) (2023-12 – Present)

• Delivered end-to-end enterprise POC solutions using Machine Learning and Generative AI, translating business requirements into production-ready systems.
• Designed and deployed scalable ML pipelines and API-driven backend services using FastAPI, enabling real-time inference, performance optimization, and system integration.

Machine Learning Engineer at Tata Consultancy Services Pvt. Ltd. (TCS) (2023-12 – Present)

SmartFlow AI Agents (RAG, Autonomous Agents & Video Q&A)

• Designed and developed a Retrieval-Augmented Generation (RAG) system using LangChain with autonomous agents, tool-based execution, and MCP server architecture.
• Built task-specific agents for document retrieval, contextual response generation, email automation, HCL incident summarization, and video-based question answering using transcription pipelines.
• Deployed inference-ready backend services using FastAPI, enabling scalable, low-latency request handling for multimodal AI workflows.

Machine Learning Engineer at Tata Consultancy Services Pvt. Ltd. (TCS) (2023-12 – Present)

Product Replacement and Upgradation System

• Analyzed product datasets to identify key attributes for accurate replacement and upgrade recommendations.
• Developed a KNN-based recommendation system achieving 97% precision.

Machine Learning Engineer at Tata Consultancy Services Pvt. Ltd. (TCS) (2023-12 – Present)

Product Description Generator

• Developed an LSTM-based text generation model to automatically generate product labels.
• Reduced manual effort through automated delivery label generation.

B.Tech. in Computer Science and Engineering – Chandigarh Engineering College (2019 – 2023)