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AI Engineer with 2+ years in Python, Generative AI, and LLM Integration
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Results-driven Python Developer and Generative AI Engineer with 2.5+ years of experience at Tata Consultancy Services (TCS), delivering AI-powered applications and intelligent automation systems for Citi Bank. Specialized in designing and deploying LLM-integrated solutions using OpenAI, Anthropic Claude, and Hugging Face APIs, with strong hands-on expertise in RAG pipelines, vector embeddings, agentic workflows (LangChain, LlamaIndex, LangGraph), and Model Context Protocol (MCP) server development. Proficient in building scalable REST APIs and MCP-compliant backend services with Python (FastAPI). Passionate about solving real-world problems at the intersection of Python engineering, AI tooling, and enterprise integrations.
Sri Venkateshwara College of Engineering, Tirupati
Bachelor of Technology · Computer Science and Engineering
N/A – January 1, 2023
Tata Consultancy Services (TCS)
Python & AI Engineer
January 1, 2024 – Present
India
GenAI Document Intelligence System with MCP Integration
June 24, 2026 – Present
Architected an end-to-end RAG pipeline over 50,000+ banking documents for intelligent semantic search and compliance Q&A used by internal audit teams. Built a custom MCP server exposing document retrieval, compliance check, and policy search as MCP tools - enabling Claude AI clients to invoke banking data services through the MCP protocol. Implemented LangGraph agent orchestration for multi-turn conversations with memory, tool use (via MCP), retrieval, and summarisation in a unified workflow. Exposed the AI system as a production FastAPI REST API with authentication, rate limiting, and audit logging; MCP transport layer used stdio + SSE for Claude Desktop compatibility. Reduced manual document review time by 40% by automating compliance checks through MCP-enabled LLM agents.
MCP-Enabled AI Automation Agents for Banking Workflows
June 24, 2026 – Present
Designed and deployed a suite of Python MCP servers providing tools for anomaly detection, report generation, and business-rule validation - consumable by any MCP-compliant AI client. Defined strict JSON Schema-validated tool input/output schemas ensuring reliable, type-safe interactions between LLM agents and backend banking APIs. Integrated Hugging Face NER and classification models as MCP resources, enabling agents to extract structured entities from unstructured documents on demand. Deployed MCP servers as containerised Python services, allowing seamless plug-in into Claude Desktop and LangGraph agent runtimes without code changes.
LangChain & LLM Application Development
Deeplearning.ai
June 1, 2026 – Present
Model Context Protocol (MCP)
Anthropic Official Documentation & Implementation (Self-study & Project-based)
June 1, 2026 – Present
Microsoft Azure Fundamentals (AZ-900)
In Progress
June 1, 2026 – Present
Prompt Engineering for Developers
Deeplearning.ai
June 1, 2026 – Present
Python for AI & ML
TCS Internal Training
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services (TCS) working with a Tier-1 banking client (Citi Bank) demonstrates exposure to large enterprise environments and complex project delivery. The projects involve diverse AI technologies and problem domains (anomaly detection, compliance Q&A, report generation), indicating adaptability and a broad skill set. The certifications in LangChain, LLM Application Development, and Prompt Engineering show a proactive approach to continuous learning and staying current with industry trends, which is a strong cultural fit for an innovative AI team. The focus on practical, deployable solutions aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights a results-driven approach, evidenced by quantifiable achievements such as reducing integration time by 35% and manual effort by 40%. The description of cross-functional collaboration suggests good teamwork and communication skills. The focus on enterprise integrations and solving real-world problems aligns well with operational fit for a senior role.