Shreyas Prasanna
@shreyasprasanna
Computer Science graduate skilled in full‑stack development, ML, and scalable AI systems.
What I'm looking for
I am a detail-oriented Computer Science graduate from UC Berkeley with hands-on experience designing, developing, and deploying full-stack applications and AI-powered systems. I have led product and technical strategy for scalable SaaS platforms and built ML/NLP solutions that improved query accuracy and delivered real-world impact.
My work spans SaaS architecture (Next.js, Supabase, Prisma), machine learning (PyTorch, LLMs, Llama-Index), and embedded IoT solutions using Raspberry Pi and Arduino. I have practical experience in backtesting quantitative strategies, building responsive web apps, and engineering monitoring devices for public‑facing infrastructure.
I bring disciplined collaboration from a professional sports background and a track record of leading teams and community projects, including presenting technical work at large conferences and driving measurable outcomes in field deployments.
Experience
Work history, roles, and key accomplishments
Chief Technology Officer
Kriid
Jun 2025 - Oct 2025 (4 months)
Led product and technical strategy for PeakPlay, an AI platform used by 100+ athletes and 20+ coaches; built the SkillSnap™ framework and scalable Next.js + Supabase + Prisma SaaS architecture enabling real-time multi-pillar athlete evaluation and analytics.
Quantitative Research Intern
Dipsea Capital
Jun 2024 - Aug 2024 (2 months)
Facilitated backtesting and ideation of trading strategies, automated existing strategy workflows to improve efficiency, and maintained codebase of charts and market indicators.
Co-Founder, Chief Technologist
Socio-Change
Dec 2018 - Jan 2024 (5 years 1 month)
Designed an IoT monitoring device for village RO systems using Raspberry Pi, Arduino and GSM to provide real-time alerts; led education sessions and increased clean water usage by 70% in a 20,000+ population village.
Software Development Intern
California Water Boards
Jan 2023 - May 2023 (4 months)
Engineered a drinking water regulation chatbot using LLMs, improving query accuracy by 30% with Llama-Index and Bloom and presented results at a 10,500-attendee industry conference.
Research Assistant
Berkeley AI Research
Designing a compositional simulation framework to reduce simulation steps for falsification and statistical verification of autonomous AI systems by over 50%, contributing to scalable safety methods.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Arts, Computer Science
Activities and societies: Research assistant at Berkeley AI Research (BAIR); projects in web applications and IoT; collegiate cricket involvement.
Completed a Bachelor of Arts in Computer Science with coursework and projects in software engineering, machine learning, and AI systems.
Availability
Location
Authorized to work in
Website
social-change.inJob categories
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