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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

Experience

  1. Sep 2026 — Nov 2026

    Incoming Software Engineer Intern

    Amazon Web Services (AWS)

    • Incoming Software Engineer Intern on the Elastic Block Store (EBS) team.
  2. Jun 2026 — Present

    Software Engineer Intern

    American Family Insurance

    • Designed AWS Lambda automation pipeline (Python, CloudFormation, S3) to recover failed records in a nationwide agent-onboarding system, replacing manual multi-step fixes with a single API call while keeping PII data within AWS.
    • Shipped a full-stack application (Next.js, FastAPI, AWS API Gateway) for internal users to self-serve record reprocessing and real-time agent-status checks, condensing resolution time from hours to seconds.
    • Standardized Datadog observability across 20+ corporate gateway endpoints for 6 insurance partners, implementing custom latency metrics and time-series dashboards to detect bottlenecks.
  3. 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.
  4. May 2025 — Present

    Research Assistant

    Zhan Lab · Purdue University

    • Engineered a real-time embryo detection pipeline with OpenCV/PyTorch at 120 FPS and 20ms latency.
    • Trained a ResNet-based CNN for embryo classification reaching 80% accuracy.
  5. Jun 2025 — Aug 2025

    Software Engineer Intern

    Suga International Holdings

    • Designed a dual-core MicroPython architecture for an audio mixer, cutting latency from 120ms to 13ms.
    • Built automated CI/CD pipelines with GitHub Actions.
    • Optimized DSP features in C, reducing CPU utilization by 40%.
  6. 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

Let's build something.