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Achievement: YOLOAchievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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stabgan/README.md 
stabgan

Kaustabh Ganguly

Senior AI/ML Engineer · Gracenote (Nielsen)

MTech Industrial AI · IIT Madras


site linkedin huggingface scholar email

I build systems that think.

Production ML pipelines. Fine-tuned language models. Clinical AI that predicts ICU outcomes. Data platforms serving 50+ downstream consumers at scale.

Currently: embedding fine-tuning, neural machine translation with DSPy, prompt optimization, agentic workflows, LLM-as-a-Judge evaluation, and AWS Bedrock engineering.

now

→  Embedding fine-tuning for content similarity & recommendation
→  Neural machine translation with DSPy & prompt optimization
→  Agentic workflows — LangChain / LangGraph
→  LLM-as-a-Judge & golden dataset curation
→  AWS Bedrock proxy & harness engineering

before

2025 – now    Senior AI/ML Engineer        Gracenote (Nielsen)
2023 – 2025   Data Architect & Scientist   TCS → J&J MedTech
2022 – 2023   COE R&D Software Engineer    TCS → J&J
2020 – 2022   Data Engineer → Lead         TCS → J&J Vision
2022 – 2024   MTech Industrial AI          IIT Madras (8.66)
2016 – 2020   BTech Information Tech       KGEC (8.15)

selected work
openrouter-mcp-multimodal MCP server for OpenRouter — text chat + image analysis via 200+ models 17⭐
Recurrent-Neural-Networks Google stock price prediction using LSTMs 15⭐
GANs-using-pyTorch Generative adversarial network from scratch in PyTorch 6⭐
saaki ICU mortality prediction for sepsis-AKI patients · MIMIC-IV · AUROC 0.80
biogemma Gemma 3 1B fine-tuned on medical corpus for clinical NLP
icd10cm ICD-10-CM browser — 70K+ diagnosis codes · MongoDB + Node.js
Gemma-3 Models 8 fine-tuned models + 10 datasets on HuggingFace

research

5 peer-reviewed papers · Springer · IEEE · Elsevier

Paper Venue
FemmeBand: IoT Smart Security Band using EMG Sensors Springer 2022
HeartHealth: Multi-Attribute Heart Monitoring via Fuzzy-TOPSIS IEEE 2021
Predicting Bradycardia & AFib using Fuzzy Logic + IoT Elsevier 2021
ValveCare: Fuzzy-Based Heart Disease Prediction with IoT Springer 2021
SafeBand: IoT Smart Security Band with Instant SOS Springer 2021

tools i use

ml & ai · PyTorch Transformers scikit-learn LangChain LangGraph DSPy SHAP W&B

data & cloud · AWS Bedrock Redshift PostgreSQL Snowflake Docker Terraform

languages · Python SQL Java Go Bash R

Lead guitarist 🎸 · Gamer 🎮

$ echo "let's build something together"
→ kaustabhganguly@gmail.com

Popular repositories Loading

  1. openrouter-mcp-multimodal openrouter-mcp-multimodal Public

    MCP server for OpenRouter providing text chat and image analysis tools

    TypeScript 17 10

  2. Recurrent-Neural-Networks-to-predict-Google-Stock-Price Recurrent-Neural-Networks-to-predict-Google-Stock-Price Public

    I tried to predict google stock price using LSTMs

    Python 15 12

  3. Multiple-Linear-Regression Multiple-Linear-Regression Public

    Implementation of Multiple Linear Regression both in Python and R

    Python 10 7

  4. Linear-Discriminant-Analysis Linear-Discriminant-Analysis Public

    We used LDA in this project to expand the capabilities of our Logistic Regression Classifier in both Python and R

    Python 9 8

  5. LSTM-using-pyTorch LSTM-using-pyTorch Public

    I implemented a challenging LSTM network using pyTorch on the MNIST datase

    Python 8 4

  6. Upper-Confidence-Bounds Upper-Confidence-Bounds Public

    I implemented the reinforcement learning based model Upper Confidence Bound in both Python and R

    Python 7 2