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mirzamudabbir-dev/README.md

Hi, I'm Mirza Mudabbir Ali Baig

AI/ML engineer who builds intelligent systems end-to-end — classical ML pipelines, retrieval-augmented generation, and multi-agent orchestration — across finance, healthcare, and beyond.

  • 🔍 ML pipelines (XGBoost, ARIMA) for anomaly & fraud detection
  • 🤖 LLM/agentic systems (LangGraph, RAG, multi-agent orchestration) for document-grounded question answering
  • 🩺 Document intelligence for structured extraction (medical records, financial filings)
  • 🛠️ Full-stack delivery: FastAPI, Next.js, React, Postgres/pgvector, Docker
  • 🌱 Currently looking for AI/ML engineering roles — open to opportunities

Featured projects

Project What it does
FraudDetection-XgBoost-Arima Fraud detection pairing an XGBoost transaction classifier with per-country ARIMA anomaly detection, in a Streamlit dashboard with SHAP explainability.
fin-rag-bot FINQUERY — RAG system for querying SEC filings and earnings transcripts (pgvector HNSW search, OpenAI embeddings, Cohere reranking).
multi-agent-analyst Multi-agent orchestration framework for autonomous data analysis and insight generation.
medical-NER-engine AI-powered clinical document intelligence engine — extracts structured data from medical PDFs/scans for insurance and records processing.

Tech stack

Python TypeScript FastAPI React PostgreSQL Docker

Links

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  1. mirzamudabbir-dev mirzamudabbir-dev Public

    Profile README

    Python

  2. multi-agent-analyst multi-agent-analyst Public

    Multi-agent orchestration framework for autonomous data analysis and insight generation.

    Python

  3. TaxMate TaxMate Public

    Finance & Tax Compliance Tool for Small Businesses

    TypeScript

  4. filing-analyst filing-analyst Public

    Multi-agent LangGraph research assistant that answers questions about company annual-report filings with source-grounded, self-corrected answers.

    Python

  5. fin-rag-bot fin-rag-bot Public

    FINQUERY — RAG system for querying SEC filings and earnings transcripts using pgvector HNSW search, OpenAI embeddings, and Cohere reranking. FastAPI + Next.js.

    Python

  6. FraudDetection-XgBoost-Arima FraudDetection-XgBoost-Arima Public

    Fraud detection system pairing an XGBoost transaction classifier with per-country ARIMA anomaly detection, served via an interactive Streamlit dashboard with SHAP explainability.

    Jupyter Notebook