Hi, I'm Sheldon 🎓
Projects
Building AI/ML systems and developer tools that solve real-world problems
OutScan – Pandemic Early Warning System
AI/GenomicsAI-powered serverless genomic radar that detects novel viral variants 6–8 weeks earlier than traditional methods. Historical simulations show 42-day early detection for Omicron variant. Built with 100% serverless architecture using dependency-free ML clustering and Bedrock AI risk assessment.
📊 $0.23/million vs. $8,200 HPC cost — 42 days early Omicron detection, WHO-compliant automated alerts
SwiftQC
Swift TestingModern property-based testing library for Swift 6+ that unifies QuickCheck and Hedgehog concepts. Features composable generators, intelligent shrinking to minimal counterexamples, and full stateful/parallel testing support. Officially announced on Swift Forums with recognition from Swift Testing Workgroup.
📊 Finds edge cases automatically, shrinks failures to minimal examples for 10× faster debugging
Git-When CLI
Developer ToolsTemporal, fuzzy-searchable CLI for Git logs. Supports natural filters (--who, --when, --what, --path), glob matching, and exports in table, JSON, CSV, or Markdown. Optimized for large repos like VSCode.
📊 Queries complex Git histories 3× faster with flexible semantic filters
ResilientFlow – AI Disaster Response System
AI/CloudADK-based multi-agent disaster response orchestrator that coordinates 5 specialized AI agents for real-time crisis management. Processes satellite imagery, generates impact heat-maps, optimizes resource allocation, and broadcasts multilingual emergency alerts — all within sub-2-minute response times.
📊 Quick end-to-end response, coordinates 15+ resources, sends 100K+ alerts, supports live Slack/Twilio integration
Music & Community
Building platforms that connect creators and foster artistic collaboration
Music Production Community (50k+ Members)
CommunityFounded and manage one of the largest music production communities, fostering collaboration between artists, producers, and engineers. We've facilitated thousands of collaborations and helped launch careers in the music industry.
📊 50,000+ members across 50+ countries
Recent Tracks
Exploring the intersection of AI and music production through algorithmic composition and sound design.
About
I'm a Computer Science student at Western Governors University driven by a core interest in developer accessibility—designing systems, tools, and abstractions that lower the barrier to powerful, expressive computing.
My work explores the intersection of machine learning, programming language tooling, and creative technology. I’m especially drawn to underexplored platforms and environments where thoughtful tooling can have outsized impact—from edge compute to native developer workflows.
Whether working on scalable inference systems or generative developer tools, I care most about building bridges—between complexity and clarity, research and real-world use, raw capability and human-centered design.
Current Areas of Interest
- • Making advanced ML and numerical computing more accessible
- • Developer tools that improve reliability, observability, and iteration
- • Program synthesis, layout generation, and code automation
- • Privacy-aware systems for edge and cloud inference
- • Creative platforms that merge usability with technical depth
Contact
Let's discuss collaboration opportunities, research, or just connect
Interested in collaboration, research opportunities, or just want to discuss the latest in AI/ML? I'd love to hear from you.
đź’ˇ Quick response: I typically respond to emails within 24-48 hours. For urgent matters, feel free to reach out via LinkedIn.