I enjoy turning messy problems into usable software.
B.Tech Artificial Intelligence graduate from G. H. Raisoni College of Engineering, Nagpur (CGPA: 9.10).
My interests lie at the intersection of software engineering, product development, search systems, and applied AI.
I enjoy building systems that solve practical problems, serve real users, and continue evolving after launch.
AbhiHub Architecture Diagram
Search & Resource Discovery System
Community Contribution Workflow
A community-driven academic resource platform designed to help students discover, organize, and share educational resources.
- 290+ registered users
- 4,050+ previous year papers
- 250+ notes and practical files
- 25+ student contributors
- Active development and maintenance since December 2025
🌐 Live Platform https://app.abhihub.run.place
📱 Android App https://play.google.com/store/apps/details?id=com.abhihub.premium
📢 Instagram https://www.instagram.com/_abhihub_
💼 LinkedIn https://www.linkedin.com/company/abhihub
📨 Telegram Community https://t.me/abhi_hub
- Intelligent resource discovery
- Metadata-based search
- Academic content organization
- Contributor recognition system
- Progressive Web Application (PWA)
- Android application support
- Firebase authentication
- Product architecture
- Backend development
- Search system design
- Database design
- Authentication workflows
- Deployment & maintenance
- Analytics integration
- User onboarding improvements
Designed metadata-driven resource discovery workflows to improve academic content search and accessibility.
Managed the complete lifecycle of a production application, from development and deployment to user feedback and feature iteration.
Implemented Firebase-based authentication and role-based access systems.
Built installable web applications with mobile-first and offline-friendly experiences.
Deep learning-based melanoma detection system using Convolutional Neural Networks.
Tech Stack: Python, TensorFlow, CNN
Multilingual health-awareness platform developed for Kshitij Foundation.
Tech Stack: Flask, Supabase, PWA
Arduino-based smart home automation system.
Tech Stack: Arduino, Embedded Systems, IoT
Machine learning solution for automated candidate ranking.
Tech Stack: Python, NLP, Machine Learning
- Led technical development of the Period Tracker Application
- Collaborated with a team of 7–8 members
- Managed maintenance and deployment activities
- Developed MelanoAI for melanoma detection
- Applied deep learning techniques to healthcare datasets
- Built an AI-powered Resume Ranking System
- Applied NLP techniques for candidate evaluation
Python • JavaScript • SQL
Flask • Django • REST APIs
Firebase • PostgreSQL • Supabase
Machine Learning • Deep Learning • NLP • Computer Vision
Git • GitHub • Linux • Heroku
- Scaling AbhiHub
- Search & Retrieval Systems
- Applied AI Solutions
- Full-Stack Applications
Software Engineer who builds products, not just projects.