Career

Started as a software engineer at 16, now building and shipping AI-driven systems.

Education
2025 - Present

MS in Computer Vision

Carnegie Mellon UniversityPittsburgh, PA

Pursuing advanced research in computer vision, machine learning, and AI systems. Focusing on creating intelligent systems that understand, learn, and act with human-like generality.

Key Achievements:

  • #1 university in the world for AI, computer vision, and robotics
  • Advanced coursework in computer vision, ML, and robotics systems
  • Collaboration with leading AI researchers
Work
2024 - Present

Head of AI

Catalyx SpaceSan Francisco, CA

End-to-end space experimentation and re-entry capsules company, serving biotech, defense, and materials science. Raised $1.7M pre-seed, backed by Founders Inc and HF0 Residency. 5 orbital satellites launched, 26+ space missions.

Key Achievements:

  • Mission Control AI Platform: Architected AI-native satellite and mission operations platform
  • Re-entry Capsule Ground Station: Developed real-time capsule tracking with WebSocket integration and live telemetry
  • AI-Powered Lead Generation: Built automated lead generation system using Selenium and Perplexity API
  • Business Intelligence Portal: Architected React/Node platform with real-time news alerts and OpenAI integration
Research
2024 - Present

Researcher

University of California, BerkeleyBerkeley, CA

Working with Berkeley postdoc, now OpenAI general-purpose robotics research scientist, to improve policy learning architectures for robotic control tasks.

Key Achievements:

  • Vision Language Model: Analyzed relationship between conditioning and embeddings for improved task generalization
  • Point Configuration: Conducted systematic experiments to optimize grid point sampling configurations
  • Latent Representation: Performed comprehensive ablation studies with 40% improvement over original grid-based method
  • Multitask Generalization: Improved performance using attention regularization and FiLM conditioning layers
Research
2024 - Present

Researcher

University of GlasgowGlasgow, SCT

Developing advanced computer vision pipeline to track and analyze temporal facial muscle movements from high-resolution 4D medical scan data.

Key Achievements:

  • 4D Analysis: Built computer vision pipeline for temporal facial muscle movement tracking
  • Abnormality Detection: Implemented deep learning models for facial muscle pattern quantification
  • 3D Reconstruction: Leveraged 3D Morphable Models with custom optimization for facial reconstructions
Work
2023

Lead Developer

InternetActivism.orgSan Francisco, CA

Internet Activism creates high-impact digital humanitarian tools, e.g. housing over 100,000 Ukrainian refugees. I designed and developed web applications with the IA team, managed a few engineers, and strategized website launches and distribution.

Key Achievements:

  • Led development of humanitarian web applications
  • Helped house over 100,000 Ukrainian refugees
  • Managed engineering team and project delivery
  • Strategized website launches and distribution
Education
2022 - 2024

BS in Computer Science

University of California, Santa CruzSanta Cruz, CA

Academic and research focus on computer vision.

Key Achievements:

  • Dean's Award for Undergraduate Research
  • Accelerated 4 year degree completion in ~2 years
  • Perfect GRE Quantitative score (170/170)
Work
2021 - 2023

Software Engineer

BitTorrent Inc.San Francisco, CA

BitTorrent: The world's most popular torrenting client, with 2B+ users and distributed P2P architecture. Led feature development for uTorrent Windows Classic Client through Agile development cycles.

Key Achievements:

  • uTorrent: Led feature development for uTorrent Windows Classic Client through Agile cycles
  • WebRTC: Assisted development of uTorrent Lite Web using WebRTC P2P features for browser file sharing
  • Memory: Optimized application memory management, doubling capacity while maintaining resource efficiency
  • Hackathon: Won company hackathon 'Hackapalooza', developed enhanced torrent search and discovery system
Research
2020 - 2021

Lead Researcher

ASDRPFremont, CA

Led ML platform creation for drug discovery advised by Stanford Organic Chemistry PhD. Built end-to-end system for molecular screening, novel compound generation, and retrosynthesis pathway prediction.

Key Achievements:

  • ML Platform: Led ML platform creation for drug discovery with Stanford Organic Chemistry PhD advisor
  • Medicine: Built end-to-end system for molecular screening and novel compound generation
  • Data Mining: Optimized molecular descriptor extraction pipeline using Mordred, solving months-long bottleneck
  • Publication: Research was published in The Journal of Emerging Investigators

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