AI & Data Science & Full Stack Developer
Building privacy-first tools, self-hosted infrastructure & full-stack applications.
Hi, I'm
I'm Rushikesh — a final year AI & Data Science engineering student who builds privacy-first tools, self-hosted infrastructure.
Currently pursuing B.E. in Artificial Intelligence & Data Science at Guru Gobind Singh College of Engineering & Research Centre, Nashik (SPPU). Passionate about DevOps, cloud engineering, and building real, deployable software — from deep learning pipelines and self-hosted home servers to full-stack web apps. I'm a self-described workaholic who likes tasks finished and near-perfect.
Python, C++, JavaScript, Java — building efficient systems, desktop apps, and automation scripts.
Deep learning with TensorFlow/Keras, transfer learning (VGG16/CNN), computer vision with OpenCV, and data analysis.
React.js frontend, Flask/FastAPI/Spring Boot backend, REST APIs, and responsive UI with modern frameworks.
Docker containerization, Linux server administration (Ubuntu, Fedora), self-hosted infrastructure, and AWS cloud services.
From self-hosted infrastructure to AI-powered systems a look at what I've been building.
A privacy-first home server built from the ground up on Ubuntu Server with LVM. CloudNest swaps everyday cloud services — storage, photo backup and DNS — for self-hosted, self-controlled alternatives, all managed through CasaOS.
Solo-built deep learning-powered MRI brain tumor detection system using VGG16 transfer learning via TensorFlow/Keras. End-to-end pipeline: model training achieving 99% test accuracy, Flask & FastAPI REST APIs, and a React.js web interface deployed on Vercel. Published as a research paper in IJPREMS.
Solo hackathon project: a Jarvis-style voice assistant in Python. Features speech recognition, pyttsx3 TTS, Google Gemini AI (gemini-1.5-flash-latest) with short-term memory, YouTube playback, WhatsApp messaging, email sending, Wikipedia lookups, app launching, shutdown/restart commands, and voice to-do lists.
Co-built with Aman Patel for a hackathon. Uses a scikit-learn phishing classifier, Google OAuth 2.0 + Gmail API for email analysis, Google Safe Browsing API for URL verification, MongoDB Atlas for data storage, and APScheduler for continuous monitoring of incoming emails.
Python desktop application built with a team of 5 — RK led the frontend. Streamlines student registration, document verification, merit list generation, and administrative workflows for educational institutions. Published as a research paper in IJPREMS.
Privacy-first, 100% offline PDF desktop app inspired by iLovePDF, built with PySide6 on macOS. Aiming for Adobe Acrobat-style features and a true in-app content editor (Sejda-style). UI uses a terracotta palette with an Adobe Acrobat-style layout.
Custom right-side bookmarks panel for Zen Browser using fx-autoconfig and userChrome JS. Features drag-to-reorder, folder navigation, and glassmorphism styling for a polished browsing experience.
Web app that lets users upload a zip of any project (HTML/CSS, Python, JS, etc.) and deploy it live via OAuth to platforms like Vercel, Render, Firebase & Supabase. Working Vercel prototype with Node/Express backend, PKCE OAuth, multer for zip uploads, Vercel Deployments API, and status polling. Plans to add multi-user support with encrypted per-user tokens.
Hands-on internships spanning AI/ML, Java Full Stack Development, and industry-grade projects with real-world applications.
Comprehensive Java Full Stack development program covering HTML/CSS/Bootstrap, JavaScript/jQuery, Core & Advanced Java, MySQL, and Git for version control.
Worked on the Brain Tumor Detection project under Internal Supervisor Mr. Dipak Kandhare and External Supervisor Mr. Siddharth Mandwade. Also received a 45-day AI/ML internship offer starting Jan 2026.
10-week AI/ML virtual internship organized by Google for Developers and AICTE EduSkills, covering machine learning fundamentals, deep learning, and AI application development.
Peer-reviewed research publications in Artificial Intelligence, Computer Vision, Deep Learning, Medical AI and Educational Technology.
Developed an end-to-end AI-powered brain tumor detection system using the VGG16 deep learning architecture. Built a complete pipeline consisting of model training, REST APIs with Flask & FastAPI, and a React.js web application capable of delivering accurate real-time MRI predictions.
Co-authors: Charushila Patil (Asst. Professor), Adan Shaikh, Aditya Kardel, Aman Patel, Murtuza Shaikh
Designed and developed a comprehensive admission management platform that digitizes student registration, eligibility verification, document management, merit list generation and administrative workflows, significantly improving efficiency, transparency and reducing manual processing time.
Co-authors: Nilesh Sonawane (Asst. Professor), Garima Maurya, Harshada Pagare, Aman Patel, Rohit Patole
Currently working on innovative research in Artificial Intelligence, Machine Learning, Computer Vision, Large Language Models and intelligent software systems, with future publications planned in peer-reviewed journals.
Savitribai Phule Pune University (SPPU) · Final Year · CGPA: ~8.0
Coursework: Data Science, Web Technology, HCI, Computer Networks,
AI, DBMS, Cyber Security, DSA
Associate, Explorer & Professional certificates from Udemy/School of AI covering 47+ hours of AI engineering training.
Foundations: Data, Data, Everywhere — Google/Coursera certificate in data analytics fundamentals.
Professional & Master certifications in ML, Data Engineering, Platform Administration, and Applications & Use Cases.
Managed volunteers, organized a college talent show (~50 attendees) and a hackathon (~40 attendees). Previously served as Volunteer in 2nd year.
Elvion Hackathon 2026 (Team "The Simplifiers") at RMD Sinhgad, Pune · INNOV-ERA National Hackathon – qualified Sankalp Round 1 at K.K. Wagh Institute · Hacktrack challenge, TechMyst 2026 at SKN IEEE Student Branch · IEEE-sponsored hackathon participant.
Volunteer, Training and Placement Cell · Member, Entrepreneurship Development Club · Member, Coding Club · Sports Coordinator (2nd year) · Certificate of Appreciation for NxtWave AI workshop leadership