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Riyanshu Garg

Riyanshu Garg

Machine Learning Engineer with 2.5+ years of industry experience in designing, developing, and deploying scalable ML and Generative AI systems

Talent
NoidaMember since May 19, 2026
developingPythonC++ DeveloperLlmAi Agent DeveloperLangChainLangGraphRagData structure and AlgorithmsData ScientistAi EngineerFast Api
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About

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.

Experience

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.

Education

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

Skills

developing

Reviews

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