Professional Summary
Passionate BCA student at Dayananda Sagar University specializing in Artificial Intelligence, Machine Learning, Full-Stack
Development, and Intelligent Systems. Experienced in building real-world software products, AI-powered platforms, and scalable
web applications using Python, JavaScript, TypeScript, Next.js, FastAPI, and modern AI technologies.
Founder and developer of Omnix, an AI-native collaborative workspace platform designed to transform how teams organize
knowledge, collaborate, and work with AI. Strong interest in software architecture, AI systems, product development, and
intelligent organizational tools.
Builds Products
Turns AI and full-stack ideas into working software with usable interfaces.
Learns Fast
Comfortable moving across AI tools, APIs, product workflows, and ML systems.
Internship Ready
Focused on clean implementation, collaboration, and real-world impact.
Projects
10 Projects
Featured Project
Omnix - AI Native Collaborative Workspace
Designed and developed a full-stack AI-powered collaborative workspace platform featuring hierarchical workspaces, AI-assisted conversations, workspace-aware memory, analytics, team collaboration, source integrations, and intelligent organizational workflows.
Next.js, TypeScript, Tailwind CSS, FastAPI, Supabase, AI Integrations
MedIt - Medical Assistance Platform
Completed during a hackathon with a friend, MedIt is a healthcare-focused platform designed to improve access to medical information and services through a responsive user experience.
VoidFill - AI Skill Gap Analyser
Collaborative hackathon project built with a friend: an AI-powered skill-gap tracking platform with adaptive tests, role benchmarking, roadmap generation, Gemini insights, and admin/mentor dashboards.
Premier League Match Prediction
Built machine learning models to predict Premier League match outcomes using preprocessing, feature engineering, model evaluation, and football performance data.
Sudoku Solver
Developed a logic-based Sudoku solver using backtracking and constraint satisfaction techniques for fast and reliable puzzle solving.
Python Chess Game
Implemented a Python chess game with rule-based game logic, move validation, and modular architecture for maintainable gameplay mechanics.
NASA Flash App
Built an astronomy-focused application that integrates NASA data, handles API responses, and renders space content with a clean data-to-UI flow.
Image Classification
Built an image classification machine learning project with model training, prediction flow, and evaluation support for visual recognition tasks.
Trading Bot
Created a bot-based trading workflow with automated decision logic, market-data handling, and data-driven strategy execution patterns.
Omnic CLI – Multi-Agent AI Development Assistant
Developed a command-line AI assistant capable of coordinating multiple AI agents for coding, automation, and project analysis. Integrated AI-powered workflows for intelligent task orchestration, code generation, and multi-agent collaboration.
Python, AI Agents, CLI, Multi-Agent Systems