Andrew Woen

• Business ML and Advertisement Group
• Implemented Ban-Hammer policies to target malicious advertisers using ML, RLHF
• Reduced ARR from malicious advertisers by 15%
• PHP, SQL, Python, PyTorch

Design

• 2-pass Hardware Accelerator Codesign
• Implements Cacti Cache Modeling in Python
• Optimizes architecture and technology library - supports 90nm, 65nm, 45nm, and 32nm
• 2x EDP improvement over nominal

Verification

• G-QED, WFC, CI checks find bugs - 3 in-person weeks of verification using G-QED vs.1 in-person year using industrial verification flow
• Industrial case study using production-ready AI engines, G-QED detected 9 new critical bugs + original bugs

-4000 lines to evaluate all cause and effects of variable/function propagation

-Led system design - GitHub Bot, Messaging System, Map

-inspired by data/control flow graphs - combines AST, LLMs

-Tracked hardware metrics to compute efficiency of tasks and optimize cloud & training expense

• Worked on Ember/Cedar: Framework for Optimizing Data Storage and Ingestion Pipelines for ML Training. ~12K lines
• Cedar can outperform PyTorch, tf.data, tf.data service, Ray Data, and DataLoaders by 2.49×, 1.87×, 2.18×, and 2.74× on average across diverse pipelines.
• Repo: https://github.com/myzha0/cedar-vldb-artifact.git

• Mentored by Professor Steven Chu, Nobel Prize laureate and U.S. Secretary of Energy under President Barack Obama.
• Worked on Lithium-Sulfur batteries and High Entropy Electrolytes (HEE)
• The ionic conductivity is improved by ~50% (LiNi0.6Mn0.2Co0.2 (NMC622)||Cu pouch cells)

• Built portable device and Android application with Java, Python, C++, TensorFlow, spectroscopy, SVMs with HOG that both house a program that detects recyclability of objects.
• Worked with Congress, recycling organizations, and Colorado counties. Spoke at conferences e.g. the 2020 Summit for Recycling
• Featured 2 times on CBS Denver News. Won 10+ awards for ReDetect.

• Designed, built, and coded prototype robotic arm for the Misty Robot with Arduino. Arm for grabbing objects and COVID-19 sanitation

• Under Prof. Frank Barnes, studied the effects of EMFs on fibrosarcoma to find possible treatment for cancer, coded sensors placed in incubator, and gained wet-lab experience.
• Created scripts for LAMMPS molecular dynamics simulator to predict the effects of EMFs on fibrosarcoma and wrote 3 reports to DARPA.

• Studied cybersecurity (pen testing) under the ISU Head of Cybersecurity.