Computer Science Student
Aspiring Data Scientist & App Developer
I'm a 4th-year CS student at IIT. Passionate about app development, sustainability, and data-driven solutions that create a better world.
SQL-powered app providing real-time weather updates and social sharing features.
Built with modern web technologies and API integration, this application delivers accurate weather forecasts with an intuitive user interface.
Features include location-based weather tracking, 7-day forecasts, and social media integration for sharing weather updates.
AI-powered finance chatbot using RNNs and GNNs for portfolio management insights.
Designed and implemented an AI-powered finance chatbot that uses RNNs trained on Kaggle stock price datasets and GNNs to model relationships between assets, sectors, and indices.
Integrated these components into a CrewAI-based multi-agent workflow that provides efficient, tailored answers for personal finance questions, portfolio management insights, and investment strategy explanations.
Neural network for predicting Alzheimer's disease progression using mesh-derived MRI features.
Built a neural network that operates on mesh nodes to predict future disease progression time in Alzheimer's disease, using mesh-derived features as input and evaluating performance on longitudinal MRI data to support earlier and more quantitative prognosis.
Developed a PyTorch mesh-based neural network that operates on vertex features and pools them into subject-level embeddings across 3–4 visits per patient to predict time-to-conversion.
An AI-powered platform that transforms vague learning goals into structured, research-backed courses through conversational interviews. Visit Clutch
Built a multi-agent pipeline (Interview → Research → Structure → Draft Approval → Content → Polish) orchestrated by Inngest, where users describe what they want to learn and the system generates a full course with modules, curated web sources, and embedded videos in 10–20 minutes.
Architected with a SvelteKit + TypeScript frontend and FastAPI async backend, using Claude Opus for curriculum design, DeepSeek for cost-effective tasks, PydanticAI for schema validation, PostgreSQL with pgvector for source deduplication, and Redis for caching and real-time progress streaming via SSE.
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