Boston, MA
Ian Pang
Computer Science student with a passion for building scalable systems, AI/ML applications, and intuitive user experiences.
Selected work
3 projects-
Nadir
A decentralized disaster verification platform combining AI satellite analysis with crowd-sourced human voting.
Best Use of DigitalOcean HackIllinois 2026 -
Canopy
Decentralized parametric insurance protocol on XRPL that automates payouts from real-time weather data.
2nd Place, Ripple Prize TartanHacks 2026 -
Obscurafy
Privacy-first iOS app that scans photo libraries for sensitive data using on-device machine learning.
1st Place, Cybersecurity HackUMass 2026
Experience
- Aug 2026 — Present
Incoming Software Engineer Intern
Amazon Web Services (AWS)
- Incoming Software Engineer Intern on the Elastic Block Store (EBS) team.
- Jun 2026 — Aug 2026
Software Engineer Intern
American Family Insurance
- Designed a serverless AWS pipeline (Python, Lambda, API Gateway, S3, DynamoDB) to recover failed onboarding records, replacing manual database fixes with a simplified process while ensuring strict PII isolation.
- Built a full-stack internal platform (Next.js, REST API) for end-to-end self-service record reprocessing and real-time agent status tracking, secured with Microsoft Entra ID and OAuth 2.0 SSO.
- Architected CI/CD deployment pipelines and modular Infrastructure as Code templates to deploy the containerized platform (Docker, AWS ECS on Fargate), securing intranet traffic with Route 53, an ALB, and AWS WAF.
- Standardized Datadog observability across 20+ gateway endpoints for 6 insurance partners, building custom latency metrics and time-series dashboards to proactively detect and isolate API bottlenecks.
- Aug 2025 — Present
Undergraduate Data Science Researcher
FedEx · The Data Mine at Purdue
- Built a Python simulation engine to model and optimize routing logic for 180,000+ daily packages.
- Implemented data pipelines aggregating and cleaning 200,000+ raw records for warehouse capacity stress-testing.
- May 2025 — May 2026
Research Assistant
Zhan Lab · Purdue University
- Engineered a real-time embryo detection pipeline using OpenCV and PyTorch to process 120 FPS high-resolution microfluidic video, achieving 20 ms end-to-end latency from detection to inference.
- Trained a ResNet-based CNN to classify embryo developmental stages with 80% accuracy based on 1,000+ embryo samples, and integrated Arduino control to direct viable embryos to separate channels for experimentation.
- Jun 2025 — Aug 2025
Software Engineer Intern
Suga International Holdings Limited
- Developed core digital signal processing features in C for an audio mixer, reducing CPU utilization by 40%.
- Minimized system storage footprint by 70% with compression techniques, achieving sub-2MB deployment.
- Designed and launched a dual-core MicroPython architecture with a custom WebSocket-based control server, enabling real-time audio command execution and decreasing operational latency from 120ms to 13ms.
- Implemented CI/CD build and test pipelines accelerating development iterations across the product lifecycle.
- Jun 2024 — Aug 2024
Software Engineer Intern
Suga International Holdings
- Deployed real-time pet detection/navigation models on NVIDIA Jetson using YOLO at 99%+ accuracy.
- Scaled an image preprocessing pipeline for 80,000+ images, doubling throughput.
Stack
Languages
- Python
- C / C++
- TypeScript
- Java
- SwiftUI
ML / Systems
- PyTorch
- OpenCV
- CoreML
- YOLO
- LangGraph
Backend / Infra
- Node.js
- FastAPI
- Flask
- PostgreSQL
- Docker
- GCP