Sam Harrison

Software Engineer — Neon

Nov 2024 - Present

San Francisco, CA (Remote)

Machine Learning Engineer II — Skyworks Solutions Inc.

Jul 2024 - Nov 2024

Ottawa, ON

• Developed PINNs of GaAs pHEMT devices, improved bias point selection accuracy to suppress intermodulation distortion and reduced simulation wall times
• Implemented a PyTorch-to-Verilog-A transpiler that converts trained neural networks into Verilog-A modules, allowing device teams to drop deep learning models straight into Cadence and Keysight simulators
• Built CLI to HPC ML workflows through templated resource allocation, automated storage mounting, containerized Apptainer environments, and experiment monitoring

Algorithm Developer Intern — GBatteries

Aug 2023 - Jan 2024

Ottawa, ON

• Developed CNN-LSTM and LightGBM models for Li-Ion state estimation; improved accuracy by 4% and enabled edge-device inference
• Built a real-time inference service for low-latency predictions on thousands of charging cycles using FastAPI and Redis telemetry data buffering
• Consolidated battery data from multiple charging platforms into a central MongoDB database, and developed a React web platform for analysis of battery cycling and EIS results

Junior Data Scientist — Public Services and Procurement Canada

Apr 2022 - Sep 2022

Quebec, QC

• Developed an automated review system for the National Project Management System to provide early warnings for projects at risk of exceeding time, budget, or scope constraints, reducing the quarterly review timeline from over 60 hours to approximately 5 minutes
• Created a comprehensive dashboard to visualize project data, highlighting trends across projects, regions, and project managers

FLood2 — Undergraduate Research in CFD | FLood2.pdf

• Designed and implemented a highly parallel turbulence-characterization algorithm in C++11 with MPI-based mesh partitioning and distributed union-find for execution on HPC clusters

TensorCraft | tensorcraft.click

• Drag'n'drop neural network builder with real-time feedback on tensor shapes and compilation to PyTorch implementation

Engineering Capstone — Hatch Ltd.

• Collaboration with Hatch Ltd. to design a uranium milling process for a pilot plant in Saskatchewan, 1st place at University of Ottawa plant design competition

Languages: Python, Rust, Typescript · ML/DL: PyTorch, SciKit Learn, Polars, Pandas, NumPy · Databases: SQL, Postgres, MongoDB, Redis · DevOps: Docker, Git, CI, Linux, AWS · WebDev: React, Next, Tailwind, Zustand