portfolio · v2026

JAYDATTA
BADE

AI Engineer|Agentic AI|LLM Inference|RAG Systems

AI Engineer and Data Scientist with 2+ years of experience designing, developing, and deploying Generative AI and machine learning solutions on Azure and AWS. Building agentic AI systems with LangChain, LangGraph, AutoGen, and the OpenAI Agents SDK.

See the workGitHubLinkedIn
01

About

I turn messy enterprise problems into measurable AI outcomes — RAG pipelines, multi-agent systems, VLM document extraction, and the FastAPI plumbing that keeps them alive in production.

BasedPune, India
FocusAgentic AI · RAG · LLM Ops
CloudsAzure · AWS
StackPython · FastAPI · LangGraph
02

Work

Mar 2026 — Present
Remote

Lawstronaut

AI Engineer — Individual Contributor
  • Building a scalable AI pipeline for large legal document processing: summarization, keyword extraction, and logical document segmentation.
  • Developing a multi-agentic system for automated quality checks and validation of organizational records.
PythonAzure OpenAILangChainLangGraphFastAPIAzure AI SearchAzure AI Foundry
Nov 2023 — Mar 2026
Pune, India

Airtel

AI Engineer — Assistant Manager
  • Led AI development for B2B products, embedding practical AI solutions that improved operational efficiency across enterprise teams.
  • Implemented a KYC document extraction pipeline using Vision-Language Models for end-to-end document understanding and structured data extraction.
  • Built AI-driven RPA pipelines automating end-to-end B2B order processing, significantly reducing manual intervention.
PythonVLMsOpenCVRPAAzure AI Services
Aug 2024 — Oct 2025
Pune, India

EY Global Delivery Services

AI Engineer — Associate Analyst
  • Architected a scalable multi-agent AI system using AutoGen — orchestrating autonomous agents for retrieval, semantic analysis, and conversational intelligence in enterprise sales.
  • Developed agentic RAG pipelines integrating Azure OpenAI with hybrid keyword + vector search via Azure AI Search.
  • Shipped FastAPI services on Azure App Service with GitHub Actions CI/CD and a ReactJS frontend.
  • Automated sales intelligence workflows end-to-end, reducing manual reporting effort by ~80% and cutting time-to-insight from hours to minutes.
  • Designed a RAG-based medical policy comparison chatbot, reducing manual review time by 60%.
  • Built a VS Code extension with a TypeScript backend and GPT-4o integration to automate test-case generation, boosting developer productivity by 40%.
FastAPIAutoGenAzure OpenAIAgentic RAGAzure AI SearchCosmosDBReactJS
Mar 2024 — Aug 2024
Remote

FilersKeepers.co

Junior Data Scientist
  • Built an automated classification and mapping system to assign structured labels to legal record descriptions in the LegalTech space.
  • Benchmarked SVM, Random Forest, BERT, DistilBERT, and LLaMA for hierarchical text classification.
  • Deployed a scalable pipeline on Azure ML Studio, reducing manual effort by 70%.
PythonScikit-learnBERTDistilBERTLLaMAAzure ML
03

Projects

AnchorAG

Three retrieval strategies behind one interface — with a verifier that grounds every generated claim.

View Code
  • Built a RAG system where an LLM router picks between naive dense, hybrid (dense + BM25 fused with RRF, then a bge-reranker cross-encoder), and agentic multi-hop retrieval planned with LangGraph.
  • Added a deterministic grounding layer that verifies each generated claim against its cited chunk and labels it grounded / unsupported / uncited / synthesized — flagged claims are never presented as fact.
  • Self-hosted bge-m3 embeddings on pgvector (HNSW + GIN full-text in one Postgres), cutting per-token cost to generation only; answers stream over SSE with a live ROUTE → RETRIEVE → GENERATE → VERIFY trace.
  • Benchmarked 150 golden queries per mode: hybrid leads context precision (0.72), agentic leads recall (0.96), citation accuracy 1.000 across modes even after tripling the corpus to 1,201 papers.
  • Optimized latency ~3x (hybrid p95 63.7s → 11.1s) via reranker sequence-length and candidate-pool tuning, off-event-loop compute, model warm-up, and embedding/response caches.
PythonFastAPILangGraphpgvectorbge-m3Cross-Encoder RerankModal A10GSSE

ClauseLens MCP

A remote MCP server that turns any MCP-capable AI into a contract analyst.

View Code
  • Built a production MCP server (FastMCP over Streamable HTTP, deployed on Railway) that Claude, Cursor, or any MCP client connects to with just a URL — no API key, no sign-up.
  • Exposes sharp tools instead of a second brain: SSRF-hardened fetch_document, an offset-exact segment_clauses splitter, verify_spans, and a 15-category risk taxonomy plus severity-rubric resources.
  • Anti-hallucination guardrail: the model must prove every quote appears verbatim at exact character offsets before display; anything unverified is dropped.
  • Ships an analyze_contract prompt that injects a 7-step workflow and forces the AI to judge risk from a chosen side (tenant vs. landlord, contractor vs. client) with severity and confidence scores.
  • Zero server-side LLM calls, zero document retention — stateless, in-memory processing with IP rate limiting and CI-tested Python 3.12 codebase.
PythonFastMCPModel Context ProtocolRailwaytrafilaturaPydanticGitHub Actions
04

Stack

Languages
PythonSQL
Frameworks & Libraries
LangChainLangGraphAutoGenOpenAI Agents SDKPyTorchTensorFlowScikit-learnFastAPI
AI/ML & GenAI
LLMsTransformersRAGAgentic AIMulti-Agent SystemsMCPNLPDeep LearningPredictive Modeling
Cloud & DevOps
AzureAWSAzure AI ServicesAmazon BedrockDockerGitCI/CD (GitHub Actions)
Databases & Vector Stores
CosmosDBFAISSChromaDBMySQLSQLite
Tools & Utilities
PandasNumPyMatplotlibSeabornOpenCVStreamlitReactJSMCP
certifications
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Microsoft Certified: Azure Data Scientist Associate (DP-100)
  • Google Data Analytics Professional Certificate
05

Education

2020 — 2024
Savitribai Phule Pune University
B.E. — Artificial Intelligence & Data Science
CGPA 9.24
2018 — 2020
Fergusson College, Pune
HSC — Science
71.38%
05

Say Hi

Got an AI problem
worth solving?

Book a call for AI strategy & consulting engagements — I'm also open to full-time, part-time, and contract work.

Book a call with mejaydattabade11@gmail.com