Bhagyalaxmi Yogendra Sawantdesai

About Bhagyalaxmi Yogendra Sawantdesai

Generative & Agentic AI Specialist Driving the future of AI — from Generative AI and Agentic AI to Data Science, Deep Learning, and NLP. I design intelligent systems that transform industries and deliver measurable impact.What began as a fascination with robotics has evolved into a mission: building AI that serves human needs with clarity, responsibility, and innovation. Over 6+ years, I’ve delivered solutions across healthcare, retail, and financial services — architecting multi‑agent systems, RAG pipelines, LLM platforms, predictive models, and automation frameworks that redefine how organizations leverage AI Key Achievements- Enterprise Workflow BottlenecksArchitected multi‑agent orchestration frameworks with LangChain, LangGraph, CrewAI, and AutoGen to automate complex decision flows.→ Result: 85% workflow automation, freeing teams from repetitive tasks and enabling faster enterprise operations- Fragmented Knowledge SystemsDesigned retrieval‑augmented generation (RAG) pipelines with hybrid vector search (ChromaDB, Pinecone, FAISS) and fine‑tuned LLMs (RLHF, DPO, ReAct).→ Result: 90% query accuracy, reducing knowledge silos and accelerating insights across departments- Scaling AI from Pilot to ProductionDelivered end‑to‑end cloud‑native MLOps pipelines (AWS Bedrock, Azure ML, GCP Vertex AI) with Kubernetes, MLflow, and FastAPI.→ Result: Seamless deployment of AI models from experimentation to production, ensuring explainability, scalability, and sustainability- Risk & Compliance in Regulated DomainsEngineered anomaly detection, defect prediction, and bias‑mitigation frameworks with LangSmith/LangFuse observability.→ Result: 30% reduction in defect leakage, embedding Responsible AI practices into enterprise pipelines- Human‑AI Collaboration GapsBuilt autonomous agent ecosystems that integrate with RPA, APIs, and enterprise data lakes.→ Result: 40% faster delivery cycles, enabling hybrid teams (human + AI agents) to deliver measurable ROI.

Experience

1. Senior Analyst Data Science and Machine Learning(Genai & Agentic Ai Engineer)

   Infosys

   Aug 2022 — Present · Hyderabad, IN

   LLM-Powered QA Engine: Developed GPT-4 powered test synthesis platform using few-shot learning and prompt chaining;implemented auto-evolving prompts and context windowing, reducing QA effort by 75% while expanding coverage to 90% • Multi-Agent AI Systems: Architected autonomous healthcare workflows using LangChain, AutoGen, and CrewAI; implemented ReAct agents with Chain-of-Thought reasoning and LangGraph orchestration for complex pharmacy operations; achieved 85% automation in clinical decision support. • Advanced RAG BigQuery Integration: Engineered domain-specific RAG system integrating GCP BigQuery (Cloud SDK) with hybrid vector search (ChromaDB); implemented automated schema discovery and SQL validation pipeline with semantic routing; achieved 90% query accuracy and built comprehensive regression suite for continuous data validation across healthcare knowledge bases; reduced query development time by 60% through automated schema introspection. • Intelligent Automation: Built Figma UI automation pipeline combining computer vision (OpenCV/OCR) with LLM reasoning; integrated accessibility testing through Playwright with MCP routing; reduced sprint cycles by 40% through automated code generation. • Intelligent No-code Low-code Automation: Built low-code RPA Agent Builder platform using Flowise for autonomous workflow automation; implemented intelligent execution engine with OCR/NLP for data processing, contextual decision-making, and self-correction capabilities; enabled continuous learning through automated feedback loops. • Deep Learning,Ensemble Methods & Optimization: Built solution automating data standardization and transformation for claims and provider data, improving accuracy and throughput; implemented transformer-based deep learning models (BERT) with multi-output classification for unstructured data insights, applying reinforcement learning and Bayesian optimization to enhance model accuracy.Also developed ML models for anomaly detection.

Education

• Aditya Polytechnic Ratnagiri

  Diploma, Electronics and Telecommunication

  2013 — 2016

• Great Lakes Institute of Management

  Post Graduation Program, Data Science

  2019 — 2020

• St. Francis Institute Of Technology

  Bachelor of Technology - BTech, Electronics and Telecommunication

  2016 — 2019