Sahil A. Pai

01 · Work

Where I've Worked

Amazon AWS

Software Development Engineer Intern

May – Aug 2026

Amazon Web Services · AWS Elemental · MediaPackage · Portland, OR

  • 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
AVEVA

Software Engineering Intern

May – Aug 2025

AVEVA · ChangeBroker Platform · Scottsdale, AZ

  • 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
Intel

Software Engineering Intern

May – Aug 2024

Intel Corporation · Data Center AI Group · Hillsboro, OR

  • 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

TerraMind logo
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
AVEVA World ASU Slide
On Stage Pitching
With Simone Biles
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