01 · Work
Where I've Worked
Software Development Engineer Intern
May – Aug 2026Amazon Web Services · AWS Elemental · MediaPackage · Portland, OR
hover for details ↓- Engineered SCTE-35-based clip harvesting for MediaPackage in Kotlin & C++, letting customers harvest segments via ad-marker cues instead of manual timestamps, across both HLS and DASH adaptive streaming.
- Shipped 2 CRs overhauling the alarm system, surfacing ~40% more previously-missed Sev-2 and Sev-3 incidents.
- Served in the team's on-call rotation, triaging and responding to production incidents.
- Won the org-wide AWS hackathon, earning the Impact Award for greatest potential customer & business value.
KotlinC++SCTE-35MediaPackageHLS / DASH
~40%
more Sev-2/3 caught
Software Engineering Intern
May – Aug 2025AVEVA · ChangeBroker Platform · Scottsdale, AZ
hover for details ↓- Architected C# .NET microservices processing 150M+ daily IoT data streams across 1,000+ global manufacturing facilities.
- Engineered RESTful & Minimal APIs serving 50,000+ concurrent requests daily with multi-layer architecture.
- Achieved 95% CI/CD code coverage; managed production Kubernetes deployments with Helm charts.
C# / .NETMicroservicesKubernetesREST APIs
150M+
streams / day
Software Engineering Intern
May – Aug 2024Intel Corporation · Data Center AI Group · Hillsboro, OR
hover for details ↓- Automated Cadence EDA privilege management for 1,000+ engineers, cutting provisioning from 3+ days to under 2 hours.
- Optimized PCB export scripts: 99.95% runtime reduction (40+ hrs → 2 min), ~70% fewer export failures.
PythonPerlAutomationEDA Tools
99.95%
runtime reduction
Entrepreneurship
TerraMind

Global #1 Winner
Founder & Keynote Speaker
Tempe, AZ · October 2024 – Present
$13K
Prize
95%
Accuracy
100+
Teams beaten
- Won 1st Place globally at AVEVA EcoTech Emerge AI World Championship against 100+ international teams; attracted Y Combinator angel investor interest.
- Built AI mining sustainability platform using CNNs & decision trees to predict toxic mineral locations with 95% accuracy.
- Architected full-stack system with Gemini API, MongoDB, and PostgreSQL, achieving sub-20-second sustainability analysis response times.
- Delivered keynote on predictive & agentic AI to 6,000+ Fortune 500 executives at AVEVA World Conference, San Francisco.
Gemini APICNNsDecision TreesMongoDBPostgreSQLKeynote



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