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OjasPhadake/README.md

Ojas Phadake

B.Tech Chemical Engineering · M.Tech Data Science · IIT Madras

Building ML systems that work — end to end, in production, on real data.

LinkedIn Email


I'm a final-year Interdisciplinary Dual Degree student at IIT Madras. I build machine learning systems — multimodal pipelines, deep learning models, data-driven applications — and I care about getting them to actually work, not just on paper.

I have a strong mathematical foundation (optimization, probability, stochastic processes) that shapes how I think about problems, but my focus is on shipping: clean data pipelines, versioned experiments, deployed models, measurable results. I've worked across computer vision, NLP, time series, and multimodal systems, in both research and industry settings.


What I'm Working On

Micro-Market Affluence Intelligence Engine — Building an AI-powered pincode-level affluence scoring system for 19,000+ Indian pincodes using satellite imagery, geospatial data, and socioeconomic signals.

State Space Modelling and Control (SMAC) — Leading a student project on exploring control theory, LQR, optimization based safe control and path planning algorithms.

Deep Learning & Foundation Models — Exploring vision-language models, multimodal architectures, and speech synthesis systems.


Selected Projects

Project What it is
Drift-Aware Stock Prediction Full MLOps pipeline: DVC feature engineering, MLflow experiment tracking, Dockerized FastAPI serving, automated drift detection and retraining
Inter IIT ISRO — Satellite Imagery AI VLM pipelines for captioning, grounding, and VQA on satellite imagery; LoRA finetuning on Qwen improved segmentation by 23%
Cattle Muzzle Identification Transfer learning pipeline for cattle breed ID from muzzle images
Image Captioning with Monitoring Image captioning system with integrated model monitoring
ProjectAxify Image compression and reconstruction using Medial Axis Transform; 33% compression, 8% OCR accuracy gain — won Best Software Project

Technical Skills

Languages — Python · C++ · MATLAB

ML & Deep Learning — PyTorch · TensorFlow · Scikit-Learn · XGBoost · Transformers · Vision-Language Models · LoRA Finetuning · MeloTTS

MLOps & Engineering — MLflow · DVC · Docker · FastAPI · Apache Spark · Ray · Git · Linux · Gradio

Data Science — Pandas · NumPy · SciPy · Seaborn · Matplotlib · cvxpy

Foundations — Probability & Statistics · Stochastic Processes · Convex Optimization · Numerical Linear Algebra


Areas of Interest

Machine Learning · Control Theory · Optimization · Multimodal AI · NLP · MLOps · Time Series · Quantitative Finance · Probabilistic Modelling


Outside of work: writing poetry, science-fiction, and occasionally getting too deep into probability puzzles.

ojasphadake@gmail.com

Pinned Loading

  1. Stock-Price-Prediction-Project Stock-Price-Prediction-Project Public

    This is a part of the MLOps DA5402 Final Project

    Python 1

  2. LQRvsRL LQRvsRL Public

    Comparing LQR against RL based controller approaches

    Python

  3. Cattle-Muzzle-Identification Cattle-Muzzle-Identification Public

    Efficient cattle breed identification based on muzzle using transfer learning

    Python

  4. Image-Captioning-Monitoring Image-Captioning-Monitoring Public

    Python

  5. ISRO-GeoNLI ISRO-GeoNLI Public

    Forked from Vijayavallabh/ISRO-GeoNLI

    This is the repository of Team_46

    Python

  6. ProjectAxify ProjectAxify Public

    Forked from Mathematics-Club-IIT-Madras/ProjectAxify

    Forked from Mathematics Club GitHub

    Jupyter Notebook