About
GenAI Engineer and Python Backend Developer with 3+ years of experience at Tata Consultancy Services (TCS), focused on building agentic, tool-driven AI systems for real-world applications. I work extensively with LangChain and LangGraph to design Agentic AI architectures where LLMs reason, plan, and interact with multiple custom tools to generate reliable, context-aware responses. My experience includes developing RAG-based chatbots, implementing Model Context Protocol (MCP)–style patterns for structured tool communication, and creating reusable AI tools for multimodal use cases spanning text, audio, and image. I have integrated Azure OpenAI, Azure AI Vision, Azure Blob Storage, Azure AI Video Indexer and Azure Speech Services to deliver capabilities such as text-to-speech, audio transcription (Whisper), image generation, and image-based question answering in production environments. I actively apply prompt engineering, tool orchestration, and agent routing strategies to improve response accuracy, control hallucinations, and ensure deterministic behavior in complex AI workflows. Alongside GenAI, I bring a strong Python backend foundation using Django and REST APIs, with database experience in MySQL and MongoDB, enabling end-to-end AI-driven systems. With a solid background in Machine Learning and Deep Learning (including CNN-based research), I continuously stay current with emerging GenAI concepts such as Agent memory, planning loops, tool schemas, and evolving LLM interoperability standards. I am passionate about building scalable, production-ready AI systems and am open to opportunities in GenAI Engineer, Applied AI Engineer, or Python Backend roles. Skills & Tools-- Programming Languages: Python, SQL, Java Generative AI & Agentic AI: Large Language Models (LLMs), Agentic AI, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Prompt Engineering, Custom Tool Development, MCP-style Tool Orchestration, Multimodal AI (Text, Audio, Image) Cloud & AI Services: Microsoft Azure, Azure OpenAI, Azure AI Vision, Azure Speech Services, Azure Blob Storage Machine Learning & Deep Learning: Logistic Regression, Linear Regression, Decision Trees, Random Forest, Boosting (XGBoost, Gradient Boost, AdaBoost, CatBoost), SVM, ANN, CNN, RNN, Model Training & Evaluation Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Power BI Backend & API Development: Django, Django REST Framework (DRF), RESTful APIs, Microservices Databases: MySQL, MongoDB Web Technologies: HTML, CSS, JavaScript, TypeScript (Basic)
Work experience
Software Engineer II at MRI Software, Sep 2026 - Present · 2 mos, Bengaluru, Karnataka, India
Systems Engineer at Tata Consultancy Services, Jul 2023 - Sep 2026 · 3 yrs 3 mos, Hyderabad, Telangana, India
Student Expert at Chegg Inc., Apr 2023 - Mar 2025 · 2 yrs, Remote
