BCA Student
Founder and Developer of Omnix, an AI-native collaborative workspace platform. Passionate about Artificial Intelligence, Machine Learning, Full Stack Development, Intelligent Systems, and building real-world software products.
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.
Turns AI and full-stack ideas into working software with usable interfaces.
Comfortable moving across AI tools, APIs, product workflows, and ML systems.
Focused on clean implementation, collaboration, and real-world impact.
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
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Visit Website GitHub ProfileCompleted 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.
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View GitHub RepositoryCollaborative 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.
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View Live Project View GitHub RepositoryBuilt machine learning models to predict Premier League match outcomes using preprocessing, feature engineering, model evaluation, and football performance data.
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View GitHub RepositoryDeveloped a logic-based Sudoku solver using backtracking and constraint satisfaction techniques for fast and reliable puzzle solving.
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View GitHub RepositoryImplemented a Python chess game with rule-based game logic, move validation, and modular architecture for maintainable gameplay mechanics.
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View GitHub RepositoryBuilt an astronomy-focused application that integrates NASA data, handles API responses, and renders space content with a clean data-to-UI flow.
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View GitHub RepositoryBuilt an image classification machine learning project with model training, prediction flow, and evaluation support for visual recognition tasks.
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View GitHub RepositoryCreated a bot-based trading workflow with automated decision logic, market-data handling, and data-driven strategy execution patterns.
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View GitHub RepositoryDeveloped 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
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GitHub Profile