---
title: "Sadaf Hukkeri - Python Developer in Kolhapur | Tal"
description: "Meet Sadaf Hukkeri, ML Engineer | Predictive Modeling · LLM Systems · FastAPI · Python | Building AI that ships based in Kolhapur. AI stack includes antigravity, claude code, and gemini. Explore public work links including github."
image: "https://tal.club/meet/sadaf-hukkeri/share-image"
---

# Sadaf Hukkeri on Tal

## Headline

ML Engineer \| Predictive Modeling · LLM Systems · FastAPI · Python \| Building AI that ships

## About

I'm an ML Engineer and Data Science undergraduate with end\-to\-end experience building AI pipelines, deploying models, and integrating LLMs into real products\. My work spans research \(IIT Bombay\) and applied industry projects\. What I build: Supervised & unsupervised ML models \(scikit\-learn, TensorFlow\) with full preprocessing \- evaluation \- deployment cycles Multimodal ML pipelines integrating EEG, GSR, and physiological data for cognitive load and stress prediction AI\-powered backends using FastAPI \+ LLM APIs \(multi\-model orchestration, Supabase, React frontend\) IoT data pipelines: Raspberry Pi sensor ingestion \- PostgreSQL \- Flask dashboards My edge: I bridge research rigor and engineering execution\. I've worked on academic\-grade ML problems \(IIT Bombay EdTech Lab\) while simultaneously shipping production systems\. I write clean Python, design real APIs, and care deeply about model performance in deployment — not just on paper\. Currently seeking: ML Engineer, Applied AI, or Data Science roles at AI\-first companies where I can work on hard problems and ship systems that matter\. Python · TensorFlow · scikit\-learn · FastAPI · SQL · Pandas · LLM integration · Feature engineering · MLOps

## Location

Kolhapur

## AI stack

antigravity

claude code

gemini

langchain

langgraph

n8n

## Work experience

Python Developer at Revolution IT Solutions, Jan 2026 \- Apr 2026 · 4 mos, Architected and contributed to an AI\-powered document drafting system integrating multiple LLMs via a FastAPI backend, enabling automated generation and review of structured content\. Implemented authentication and document storage using Supabase, and connected a React frontend — delivering a full\-stack AI product from data layer to UI\. Orchestrated multi\-model LLM pipelines to handle diverse document types, improving output consistency and reducing manual legal drafting time for end users\.

IIT Bombay — EdTech Research \(ML Engineer\) at Indian Institute of Technology, Bombay, Jul 2025 \- Nov 2025 · 5 mos, Remote, Led multimodal ML research integrating EEG, GSR, and physiological signal datasets to build stress detection and cognitive load prediction models for student performance analysis\. Designed end\-to\-end Python ML pipelines: raw signal preprocessing \(Pandas, NumPy\) \- feature engineering \- model training \(scikit\-learn\) → evaluation — reducing data\-to\-insight cycle time significantly\. Applied statistical analysis and visualization \(Seaborn, Plotly\) to surface actionable patterns from complex multimodal datasets, directly informing EdTech intervention strategies\. Worked within a research environment at one of India's top\-ranked technical institutions, applying ML rigor to problems at the intersection of neuroscience and education technology\.

Open Source Contributor at GirlScript Summer of Code, Oct 2024 \- Nov 2024 · 2 mos, Remote, Contributed code fixes, feature additions, and optimizations to open\-source projects used by global developer communities, collaborating asynchronously via GitHub PRs and issue tracking\. Worked across JavaScript, React\.js, HTML/CSS, and Python codebases — demonstrating cross\-stack adaptability and collaborative engineering discipline\.

AI/ML Engineer Certification at Pradhan Mantri Kaushal Vikas Yojana, Apr 2024 \- Aug 2024 · 5 mos, Built, evaluated, and deployed supervised ML models on real\-world datasets using Python and scikit\-learn, covering the full model lifecycle from data cleaning to inference\. Strengthened practical expertise in feature engineering, hyperparameter tuning, cross\-validation, and model selection — applying techniques across regression, classification, and clustering tasks\.

Intern at DNG Technologies, Jul 2022 \- Aug 2022 · 2 mos, Kolhapur, Maharashtra, India

## Education

Data Science, D\. Y\. Patil College of Engineering & Technology, KASABA BAWADA \(DYPCET\)

Computer Science, Dr\.Bapuji Salunkhe Institute of Engineering and Technology

## Public links

- github: https://github\.com/sadafhukkeri

[View the original profile](https://tal.club/meet/sadaf-hukkeri)

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