Shafia Memon@shafiamemon
2
Events attended
2
Submissions made
Pakistan
1 year of experience
About me
I’m a curious, motivated, and hardworking person with a background in Data Science. I enjoy learning new things, taking on challenges, and exploring new ideas. I’m always looking for opportunities to grow both personally and professionally. I value consistency, growth, and giving my best in whatever I do.
🤝 Top Collaborators
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🤓 Latest Submissions
Autonomous Multi Agent AI trading system
This project is a fully autonomous, multi-agent AI trading system built on top of the Alpaca Trading API. Our architecture leverages a sophisticated pipeline of specialized AI agents working in tandem to identify, analyze, and execute profitable options and equity trades. The pipeline begins with a Deterministic Filter that scans live market data to identify high-probability setups based on volume, liquidity, and implied volatility. These candidates are then passed to our Market Agent (for technical thesis generation) and News Agent (for real-time sentiment analysis). An Options Agent synthesizes this data to construct optimal multi-leg strategies. Finally, a Risk Assessment Engine mathematically validates every trade against strict portfolio constraints—such as max daily loss and exposure limits—before our Execution Agent routes the orders live to Alpaca. To visualize this complex orchestration, we built a stunning, real-time Next.js dashboard. It provides traders with an interactive command center to monitor live portfolio equity, track individual AI agent decisions, view strategy payoff charts, and audit the complete execution lifecycle. By combining strict quantitative risk management with advanced LLM reasoning, we’ve created an institutional-grade trading terminal.
4 Sep 2026
Diaglo AI
Diaglo AI is an AI-powered diabetes management companion designed to move diabetes care beyond simple tracking. It connects a patient’s glucose readings, meals, physical activity, medication information, symptoms, and existing health conditions to identify meaningful patterns and provide personalized lifestyle guidance. Instead of treating each health metric as an isolated data point, Diaglo builds a connected patient profile and uses that context to support better everyday decisions around nutrition, activity, and lifestyle. Its adaptive approach analyzes trends over time, including weekly health patterns, to make guidance increasingly relevant to the individual. Diaglo is designed for people living with diabetes, doctors, diabetes clinics, hospitals, and dietitians, with the goal of making day-to-day diabetes management more informed, personalized, and patient-centered. It provides decision support and lifestyle guidance—not medical diagnosis or medication changes.
10 Aug 2026
