Hello,
I'm Onkar.
I write code that lives at the intersection of AI and product design. I'm currently an undergrad at IIT Gandhinagar, focused on building full-stack applications that are smart, fast, and actually useful.
About Me.
I'm an undergraduate student pursuing a B.Tech in Artificial Intelligence at IIT Gandhinagar. I enjoy taking an idea from a blank page to a working product—designing the experience, building the backend, and integrating intelligent systems until it feels complete.
Working across the stack has taught me that good software isn't about a single technology; it's about understanding the problem and choosing the right tools. Whether I'm building financial tools, communication platforms, or computer vision systems, my focus is always on creating products that solve real problems.
Highlights
- B.Tech in Artificial Intelligence, IIT Gandhinagar
- Class of 2028
- Building end-to-end AI applications
- Full-stack and cloud engineering
- Specializing in modern LLMs & computer vision
What I Enjoy Building
Mindset.
I believe that every project is an opportunity to become a better engineer, not only by learning new technologies but also by improving the way I think, design, and solve problems.
"I don't chase every new technology. I follow the curiosity that leads me to understand it."
Simplicity & Reliability
I focus on creating products that solve practical problems while maintaining clean architecture, intuitive interfaces, and reliable performance.
User-Centered Thinking
I believe good software is measured not only by what it can do but by how naturally people can use it. Every technical decision should ultimately serve the user experience.
Beyond Programming
Outside of engineering, my hobbies include photographing nature, animals, and interesting objects. I also enjoy learning about system architecture and distributed computing.
Education
B.Tech Artificial Intelligence
IIT Gandhinagar
Expected Graduation: 2028
Relevant Coursework
Capabilities
A culmination of specialized knowledge across the modern software engineering stack.
Programming
AI / ML
Frameworks
Cloud & Backend
Cybersecurity
Dev Tools
Embedded Systems
UI / UX Design
Crafted Works
Anar X
A computer vision platform that helps farmers identify crop diseases. It analyzes plant imagery and provides actionable, localized recommendations through a simple, farmer-friendly interface.
The Problem
Farmers lack immediate, expert diagnosis for rapidly spreading crop diseases.
The Solution
An offline-capable mobile interface that classifies plant diseases instantly.
Architecture
Python/TensorFlow model deployed via REST, consumed by a Supabase-backed frontend.
Aera
A real-time messaging platform that integrates conversational AI directly into the chat. Built with secure authentication, cloud synchronization, and push notifications to make digital communication more intuitive.
The Problem
Digital communication lacks deep contextual intelligence without switching apps.
The Solution
Integrated a responsive AI agent natively into the chat flow.
Architecture
Flutter frontend communicating with a Supabase backend, utilizing Cloud Functions for async LLM inferences.
Priora
An AI-powered productivity workspace that goes beyond basic task management. It generates smart notes, organizes ideas, and provides personalized workflows in a minimal, modern interface.
The Problem
Task managers are rigid and require high mental overhead to organize.
The Solution
AI-driven automated note-taking and personalized, self-organizing workflows.
Architecture
Flutter UI layered over Firebase, using REST APIs for external NLP services.
Skedio
An intelligent timetable generator that automates conflict-free class scheduling. It handles complex constraints via algorithmic optimization, featuring smart teacher allocation and drag-and-drop editing.
The Problem
Manual scheduling in schools is incredibly time-consuming and error-prone.
The Solution
An automated scheduling engine that mathematically resolves constraints.
Architecture
Next.js frontend with a Node.js/PostgreSQL backend executing custom scheduling algorithms.
SmartSpend AI
A personal finance PWA for students and young professionals. It combines expense tracking with AI-driven insights to generate personalized budgeting analytics and recommendations.
The Problem
Existing finance apps are too complex or lack actionable, personalized advice.
The Solution
A minimal tracker that uses AI to analyze spending and suggest budgets.
Architecture
PWA built on Next.js and Supabase, utilizing LLMs for categorization and insights.
Explore Further
Dive deeper into my open-source contributions or download my full professional resume.