Nalla Ramesh
Server_Notice_Period |Generative AI developer | Agentic AI | LLM| Machine Learning | NLP |Deep Learning|
- Role
- Generative Ai Agentic Ai Engineer at Tata Consultancy Services
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Nalla Ramesh
AI Developer with 4. 2 years of experience in building LLM-powered, RAG-based, and Agentic AI systems for large-scale enterprise automation and analytics. Currently working at Tata Consultancy Services (TCS) as a GenAI / Agentic AI Developer, delivering production-grade AI platforms for global clients such as Amgen and Equans.I specialize in building multi-agent AI architectures using LangChain and LangGraph, enabling intelligent orchestration across structured data, unstructured documents, real-time news, and PowerPoint files. My expertise includes end-to-end AI pipelines, from automated document ingestion into AWS S3, to vector indexing, retrieval, and real-time analytics using Databricks SQL & Vector Search.
Experience
Generative Ai Agentic Ai Engineer
Nov 2025 — Present · Hyderabad, IN
Dual-Agent Supply Chain Intelligence Platform (Amgen Client): • Built a GenAI-powered conversational analytics platform for end-to-end supply chain visibility and decision-making. • Designed and implemented a Dual-Agent Architecture with: • Structured Agent: Auto-generates SQL on Databricks, retrieves KPI metrics, and delivers tabular & graphical insights. • Unstructured Agent: Uses RAG + Vector Search for querying SOPs, design documents, and knowledge bases. • Implemented LangGraph conversational workflows for multi-question handling, follow-up contextualization, and human-in-the-loop interrupt management. • Developed an automated pipeline for uploading documents and PowerPoint files directly into AWS S3, enabling seamless ingestion and processing for AI workflows. • Built end-to-end data pipelines integrating document uploads with LangChain processing and vector indexing for improved document retrieval and analysis. • Integrated Databricks SQL & Vector Search for semantic analytics. • Built AI Dashboard Services for saving, revisiting, and visualizing user-specific insights. • Implemented continuous feedback loops to improve answer accuracy. Impact: Enabled real-time supply chain intelligence and accelerated business decision
Education
State Board of Technical Education and Training
Diploma of Education, Mechanical Engineering
Swami Vivekananda engineering College
Bachelor of Technology - BTech
ZPH High School
10th
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