Skip to content

Sudheera Maganti

GenAI Engineer • Denton, Texas • s**************@gmail.com • +19******498 • drivetube.ai/•••••

Professional Summary

GenAI Engineer with 2+ years of experience designing and delivering LLM-based systems, RAG architectures, and multi-agent pipelines using LangGraph, MCP, and AWS to build scalable, autonomous AI solutions.

Technical Skills

Programming Languages: Python
Frameworks and Libraries: LangGraph,LangChain,LlamaIndex,FastMCP,FastAPI,Streamlit,Gradio
Databases: DynamoDB
Cloud and DevOps: AWS Lambda,Amazon SageMaker,Amazon Bedrock,EC2,S3,EventBridge
Generative AI & LLMs: LLMs,Retrieval-Augmented Generation,Agentic AI,Prompt Engineering,Prompt Lifecycle Automation,LLM Evaluators
Orchestration & Protocols: Model Context Protocol MCP,Google MCP Toolbox,Amazon Q,Google ADK
Search & Retrieval: Exa Search,Semantic search,retrieval connectors
Architectures & Patterns: Event-driven architectures,Modular reusable frameworks,Multi-agent coordination

Work Experience

TCS
Systems Engineer - GENAI Developer
July 2022 – July 2024
Worked at Tata Consultancy Services delivering Generative AI and LLM solutions for enterprise clients across multiple domains, focusing on scalable RAG and agentic pipelines.
Tech Stack: LangGraph, LangChain, LlamaIndex, FastMCP, Google MCP Toolbox, Google ADK, Amazon Q, Exa Search, Python, AWS Lambda, SageMaker, Bedrock, EC2, S3, DynamoDB, EventBridge, FastAPI, Streamlit, Gradio
  • Designed and delivered 15+ Generative AI solutions across domains using modular, reusable frameworks; accelerated delivery cycles and improved implementation efficiency by ~40% through shared components and templates (LangGraph, Python).
  • Architected RAG pipelines and retrieval connectors using LangChain, LangGraph, LlamaIndex and Exa Search to combine internal documents with external search, improving relevance and reasoning depth and raising query precision in search-backed tasks.
  • Built multi-agent systems with Google ADK and MCP orchestration to coordinate autonomous task agents (travel, scheduling, summarization), achieving 2x faster itinerary generation and reducing manual intervention by ~35%.
  • Integrated Model Context Protocol (MCP) with FastMCP and Google MCP Toolbox plus Amazon Q to standardize context flow across models and enable dynamic, explainable LLM evaluators for the Rate Analyzer and copilots.
  • Implemented event-driven, scalable AI workflows on AWS (Lambda, SageMaker, Bedrock, EC2, S3, DynamoDB, EventBridge) to support batch and real-time inference, simplifying deployment and enabling cost-aware autoscaling for production assistants.
  • Led prompt lifecycle automation using LangGraph-driven templates and automated testing; implemented prompt performance tracking and monitoring to cut prompt evaluation time and improve production response selection.

Education

Sri Vasavi Institute of Engineering & Technology
B.Tech (CSE) • 2019 – 2023
University of North Texas
M.S. (CSE) • 2024 – 2026

Certifications

Associate Cloud Engineer
Generative AI fundamentals
Generative AI Leader

Achievements

  • Second Prize — I3 Aviation Hackathon: Awarded second prize for developing a GenAI Intelligent MRO suite concept that advanced predictive and automation capabilities for aviation maintenance.

Powered by Drivetube · Create your own profile at drivetube.ai