From AI-powered financial tools to automated trading systems—each venture is built with a focus on real-world impact and execution.
Technology-driven solutions with measurable impact
AI Patient Follow-Up Agent
Developed an AI-powered healthcare assistant that automatically performs post-consultation follow-ups via phone calls. Built a full-stack system using FastAPI, Next.js, and WebSockets. Integrated Twilio for real-time bidirectional audio streaming, utilizing Google STT/TTS and Gemini 2.5 Flash for RAG-augmented symptom triage and doctor escalation.
Healthcare AI
Domain
Full-Stack
Stack
AI Financial Due Diligence Platform
Leveraged LangChain and agentic AI to develop an end-to-end financial due diligence tool, automating data extraction, analysis, and report generation. Integrated natural language processing (NLP) to parse complex financial documents, identifying key risks and opportunities with enhanced accuracy. Created a full-stack analytics platform with Python/FastAPI backend and React frontend, featuring interactive financial visualizations and automated report generation (PDF/Excel).
PE/IB/Corp Dev
Target
Full-Stack
Stack
Professional Networking App
Designed and developed the MVP using Swift, implementing custom UI for swipe-based matching and networking. Leading a cross-functional team of six (design, development, marketing) to launch the product across campus. Authored business plan including market sizing, financial projections, and GTM strategy for seed-stage investments.
6 Engineers
Team Size
iOS Native
Platform
Autonomous Trading System
Building fully automated AI-agent-driven infrastructure with autonomous strategy execution, portfolio rebalancing, and risk controls. Managing $100K+ portfolio using n8n automation workflows, Python-based trading engine, and ML prediction models. Implementing multi-layered risk management with position limits, stop-losses, and correlation monitoring.
$100K+
Portfolio
Building
Status
Student Storage Marketplace
Led branding, platform design, and customer outreach strategies to grow the user base. Successfully generated $10,000 in revenue within the first 2 weeks of operations. Performed regression analysis to optimize pricing strategy and built forecasting model using Python to predict demand.
$10K in 2 weeks
Revenue
Completed
Status
Core competencies developed through experience and execution
Languages
Frameworks
Tools
Specializations
Always open to discussing new ventures, technical challenges, or investment opportunities.
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