
Federated Meta Learning
Federated Meta Learning using MAML and Pytorch. (In Progress)
Software Developer
Hands-on developer with capstone and professional projects, hackathon leadership, and internship experience across analytics, full‑stack, and research.
GitHub Activity
@SahilbhataneSoftware developer with hands-on experience across multiple projects and events. Led teams in hackathons and during internships. Built capstone-level and professional applications with a focus on clear data insights, solid engineering practices, and a great user experience.
















Federated Meta Learning using MAML and Pytorch. (In Progress)
Real-time multi-object detection using WebRTC and Vision Language Models.
Sign language detection using MobileNetV3 and React.js.

End-to-end disease prediction web app using multiple ML algorithms (LR, SVM, DT). Built the UI with Streamlit for rapid prototyping and results visualization.

Trained models on a Kaggle dataset to predict diseases based on symptoms. Used Decision Trees and Naive Bayes with feature engineering.
Predicted college scores from student performance using KNN. Focused on preprocessing, evaluation, and interpretability.

Built basic visualizations for datasets to learn foundations of data science for ML.

Information website for a game project using HTML, CSS, and JS. Focused on content structure and UX.

Game development project built with Godot engine. Focused on game mechanics, physics, and interactive gameplay elements.

Personal portfolio site. Early versions with Tailwind and vanilla JS; iterated to improve animations and polish.

Information website for Main project 'Health Predictor'.
Federated Meta Learning using MAML and Pytorch
View DetailsAdded multi-object detection support using Vision Language Models
View DetailsFull Stack Development Intern - Built portfolio sites