About sukhbeer
AI Engineer with 3 years of experience at Tata Consultancy Services, specialising in Generative AI, LLM engineering, and agentic system design. I have built and deployed production-grade AI applications spanning RAG pipelines, multi-agent orchestration, LLM evaluation frameworks, image generation, and vision-based AI — working across the full model lifecycle from fine-tuning to scalable inference.My core expertise includes:— Agentic workflow design using LangChain, LangGraph, and CrewAI— LLM fine-tuning, quantization, and GPU/cloud deployment using vLLM— RAG architecture with vector databases and semantic search— LLM evaluation and observability using DeepEval, PromptFoo, Opik, and MLflow— End-to-end ML: deep learning (ANN, CNN, RNN), NLP, and traditional ML models— Full-stack AI app development with Django, FastAPI, React, and Spring BootI have contributed to internal TCS platforms, analysed GenAI application workflows, and driven measurable improvements including a 95% reduction in API response times. I hold the Microsoft Certified: Azure AI Engineer Associate certification and am actively seeking AI Engineer, ML Engineer, MLOps, or LLM Engineer roles where I can build impactful, production-ready AI systems.
Key Skills
Experience
Software Engineer Ai / Ml
CurrentTata Consultancy Services
Designed and optimised RAG and agentic workflows using LangChain and LangGraph, implementing advanced retrieval strategies and multi-agent orchestration patterns. Conducted LLM evaluation and quality analysis using an LLM-as-a-judge approach with DeepEval and PromptFoo; identified and refactored rubrics for JD-based parameter extraction, question generation, and scoring in a GenAI interview coaching platform deployed as a TCS internal application. Implemented LLM monitoring and observability pipelines using Opik and MLflow; generated structured performance reports from log data for distribution across TCS business units. Fine-tuned and quantised open-source LLMs; deployed models on GPU and cloud VMs using vLLM with batching support for scalable multi-user inference. Built a vision-model application to identify meal nutritional values using RAG, LangChain guardrails, and a vector database of nutritional data.
Software Developer Ml & Backend
Tata Consultancy Services
Studied transformer architecture, attention mechanisms, and LLM internals; applied knowledge to build a text-to-image generation application using stable diffusion with a Django and React frontend. Refactored critical Spring Boot APIs in a legacy training platform, reducing average response time by 95% through query optimisation and architectural improvements. Developed new UI modules for the legacy application and deepened expertise in deep learning (ANN, CNN, RNN), NLP, and the mathematical foundations of neural networks.
Graduate Trainee Full-stack & Ml
Tata Consultancy Services
Completed TCS Ignite training programme covering Python, Java, Django, DevOps, MERN stack, ML, and NLP with hands-on project work. Built a semantic document deduplication application using vector embeddings and a vector database to identify identical documents through semantic similarity.
Education
Chandigarh University
Masters
Teerthanker Mahaveer University, Moradabad
Bachelors
The Springfields Academy, Official
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Common Questions
What is sukhbeer's expertise?
sukhbeer specializes in LLM Engineer, with expertise in agentic ai, azure ai foundry, convolutional neural networks, crew ai, deep learning.
Where is sukhbeer located?
sukhbeer is based in chennai, tamil nadu, india.
How much experience does sukhbeer have?
sukhbeer has 6+ years of professional experience.
How can I contact sukhbeer?
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