About Me ☁️
AI engineer. Fulbright Scholar. Ex-JP Morgan trader. Founder & Lead ML Engineer at Moshi — building agentic quant analysts for financial markets.
I’m the founder of Moshi — VC-backed, live with institutional, fund, and corporate pilot customers, and grown to a team of 5 in 6 months. Moshi delivers 24/7 agentic quant analysts for financial markets.
Previously, I led NASA’s crater detection research (93% precision for spacecraft navigation), advanced 3D reconstruction research with Stability AI at Rice University, and founded JewelVision — building 3D asset generation and virtual try-on tools for e-commerce. Our ICLR 2026 paper, GIQ, benchmarks 3D geometric reasoning in vision foundation models.
My career’s always been anchored in data — from modeling financial risk as a derivatives trader at JP Morgan to training deep learning systems for multimodal AI. I bring a unique mix of technical depth, product strategy, and cross-industry experience — spanning finance, aerospace, and e-commerce.
🎤 Regular speaker and judge in the US AI and entrepreneurship scene.
🛠️I’m especially interested in building multimodal systems that enhance human-AI collaboration — tools that are both technically rigorous and socially meaningful.
Click to read more
My Story ✨
My journey into tech hasn’t been linear. I graduated with a degree in MORSE (Mathematics, Operational Research, Statistics, and Economics) from the University of Warwick in 2014 — basically data science before it had a name! My first job out of university was at JP Morgan as a Derivatives Trader, which had been my dream job — and where I spent the next 7 years.
At JP Morgan – Derivatives Trader in London (2019)
Demo Day (2024) — Presenting JewelVision, my AI startup
During the pandemic, I found myself helping my family’s business and fell in love with using data analytics for business transformation. That experience — and a pro bono consulting project with the Maharishi Institute (the world’s first self-funded university) — opened my eyes to the power of data beyond the trading floor.
Helping them made me realize how much customer-focused consumer businesses lacked data-driven decision making — a huge contrast to the energy markets I came from, where every move was backed by data. 💡
I joined the Le Wagon bootcamp to build a strong foundation in data science and reignite my Python programming. Wanting to make a real difference using data, I felt driven to understand what to build — which led me to being awarded a Fulbright Scholarship, and eventually to Rice, where I founded JewelVision — a startup building 3D assets and virtual try-on experiences using computer vision and generative AI for e-commerce brands. 💍✨
What I’m Into Now 🚀
I’m focused on building Moshi — bringing institutional-grade quantitative analysis to financial markets through agentic AI. I’m also a published researcher, with our paper on 3D geometric reasoning accepted at ICLR 2026.
I’ve led projects with cross-functional teams, built technical prototypes, raised VC funding, and spoken at AI and entrepreneurship events. I’m passionate about applying cutting-edge AI to solve real-world problems — and using data to drive better decisions.
👉🏽 Check out my latest projects — including Moshi, collaborations with NASA, Stability AI, and the Computer Vision Research Lab at Rice.
See the full list on my Projects page.
I also love spreading AI knowledge, sharing what I learn, and connecting with others in the industry. 🤝💬
Outside of AI 🧘🏽♀️
I love traveling, hiking, skiing, and spending time with friends, family, and animals. Life is more fun when it’s a mix of creativity, nature, and purpose.
Thanks for stopping by! 😊