Vamshi Yelagandula
Open to work3 years experienceAI Engineer
AI Engineer
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Skills & Technologies
36 skillsGitHub Activity Evidence
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Work Experience
AI Engineer
Fractal Analytics
- Developed LLM-powered decision intelligence pipelines using LangChain and LangGraph for multi-step autonomous reasoning in business analytics, accelerating report generation by ~40%.
- Built multi-agent AI systems coordinating specialised agents (research, retrieval, synthesis) using LangGraph state machines to automate complex enterprise workflows, reducing completion time by ~35%.
- Engineered production RAG pipelines with FAISS and HuggingFace embeddings for enterprise knowledge bases, improving retrieval precision by ~30% through optimised chunking strategies.
- Deployed FastAPI microservices exposing AI pipelines to analytics dashboards — supporting 500+ daily API calls with <200 ms response time — and hosted apps on AWS EC2/S3.
- Implemented end-to-end LLM observability with LangSmith and integrated multimodal document AI for automated structured data extraction from PDFs and invoices.
AI Engineer
Yellow.ai
- Designed and deployed conversational AI agents for enterprise CX automation using LangChain, handling 10,000+ monthly customer queries with ~85% self-service containment rate.
- Built RAG-based Knowledge Base pipelines (WebBaseLoader, HuggingFace embeddings, FAISS) improving answer relevance by ~40% over keyword baselines and reducing query latency by ~30%.
- Developed tool-orchestrated LLM agents with intelligent query routing (primary RAG + real-time web search fallback), domain validation, and multi-turn history for secure, contextual responses.
- Exposed conversational AI pipelines as FastAPI REST microservices integrating with enterprise CRM/helpdesk platforms; leveraged LangSmith tracing to cut debugging time by ~50%.
Projects
Multi-Agent AI Research System Autonomous Research Pipeline
- Architected a sequential multi-agent pipeline (LangChain create_react_agent) with Search Agent (Tavily API), Reader Agent (BeautifulSoup scraping), Writer Chain (Groq LLaMA 3.3 70B) synthesising structured reports, and Critic Chain delivering automated quality scoring.
ICICI Bank Customer Support Assistant RAG-Based Banking Chatbot
- Built an AI-powered chatbot using Streamlit with a full RAG pipeline (WebBaseLoader, HuggingFace, FAISS), intelligent query routing with Tavily web search fallback, domain validation, and multi-turn chat history.
InvoiceIQ Smart Invoice Data Extractor
- Built a Streamlit app for GST invoice PDF upload with automatic structured data extraction using PyMuPDF rasterisation and Groq Llama 4 Vision; enforced strict validation for IRN, GSTIN, and numeric fields with JSON/CSV export.
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
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Achievements
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About Details
Professional Bio
Results-driven AI Engineer with 3 years of experience in Large Language Models, RAG architectures, and production-grade AI applications. Proven track record building end-to-end GenAI solutions using LangChain, LangGraph, OpenAI, FastAPI, and AWS.
B.Tech in Mechanical Engineering
Anurag Group of Institutions (2017 - 2021)