Jun 2025 – Jun 2025 · 0 mo · San Francisco Bay Area · On-site

• Accepted into ODF25 a curated SF-based cohort of top early-stage founders.
• <3% acceptance rate.

May 2025 – Present · 1 yr 1 mo · On-site

Jan 2024 – Dec 2024 · 11 mos

• Developed a distributed multi-agent trading system where each agent specializes in alpha signal generation, market sentiment analysis, order execution, and portfolio risk management. Agents communicate via a shared memory architecture to enable real-time coordination and adaptive strategy updates.
• shut down to chase bigger dreams:))

Jan 2023 – Dec 2023 · 11 mos · On-site

• Led MLOps architecture for an AI surveillance system deployed for a city government, enabling scalable real-time vehicle monitoring and license plate detection on edge devices, while maintaining high model performance across diverse environments.
• Designed and automated CI/CD pipelines using Jenkins, integrating unit tests, container builds, model validation, and secure deployment workflows cutting release time by 70% and ensuring production reliability for critical public safety infrastructure.
• Implemented secure data pipelines with encryption-at-rest and in-transit, IAM-based access controls, and audit logging, ensuring compliance with government data privacy regulations and reducing risk of data breaches.
• Containerized ML models using Docker and deployed via Kubernetes on hybrid cloud (AWS + GCP), achieving 88% increase in system uptime, automated rollback capabilities, and seamless horizontal scaling for 100K+ concurrent CCTV feeds.
• Monitored and optimized model drift and inference latency using Prometheus and Grafana, with alerting systems integrated into Slack and PagerDuty for real-time incident handling.