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