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.