RESUME

PROJECTS & EXPERIENCE

Stealth StartupDec 2024–Present

FounderAndromeda Galaxy

Yes.

GroqDec 2020–Nov 2024

Machine Learning EngineerMountain View, CA (Remote)

Development on hardware-level SOTA machine learning workloads including scaling very large natural language (NLP) and computer vision (CV) models across nodes of GroqChips, as well as training these models from scratch/finetuning. Work on QAT & PTQ for transformers. Interfaced directly with customers, optimizing models for latency/throughput/memory. Advised hardware team on future ML developments.

MonroeAug 2020–Dec 2020

Founder & CEOMountain View, CA

Built a platform for B2B online trade shows (available at monroe.live). Successfully staged events for small businesses and interviewed for Y Combinator.

AppleJun 2020–Aug 2020

Data Scientist, Machine LearningAustin, TX (Remote)

During my internship, I built a new ML system from unlabeled data to identify and categorize Apple Cash accounts. Included unsupervised analysis, data wrangling, label discovery, visualization, and plenty of collaboration. Culminated in a presentation on the concrete business applications of my work.

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PUBLICATIONS

Ablation of a Robot's Brain: Neural Networks Under a Knife2018

Peter Lillian, Richard Meyes, Tobias Meisen

It is still not fully understood exactly how neural networks are able to solve the complex tasks that have recently pushed AI research forward. We present a novel method for determining how information is structured inside a neural network. Using ablation (a neuroscience technique for cutting away parts of a brain to determine their function), we approach several neural network architectures from a biological perspective. Through an analysis of this method's results, we examine important similarities between biological and artificial neural networks to search for the implicit knowledge locked away in the network's weights.

EDUCATION

University of Southern California

MS in Electrical Engineering (Machine Learning)2018–2020

        GPA: 3.8
        Rose Hills Research Scholarship
        Accepted to the Progressive Degree Program

BS in Computer Engineering and Computer Science2015–2019

        GPA: 3.7 (Graduated Magna Cum Laude)
        Full-Tuition Trustee Scholarship (Merit-based)
        Photography Minor

ACHIEVEMENTS & SKILLS

AI/ML

Scaling large ML/DL models across systems, Natural Language Processing (NLP), Computer Vision (CV), Reinforcement Learning (RL)

Development

PyTorch, Tensorflow, JAX, ONNX, TensorRT, CUDA, Python (numpy/sklearn/matplotlib/pandas), Java, C, C++, HTML, JS, Vue, SQL, AWS, Spark, MapReduce, OpenMP, Verilog, Docker, Ubuntu, Command Line, vim, tmux

Programs

Adobe Suite (Photoshop, Illustrator, AfterEffects, Premiere), Cinema 4D, Cadence Virtuoso

Other

Public Speaking, Eagle Scout, Writing (won CSPA’s Gold Circle for Best Nonfiction Article)

INTERESTS

Artificial Intelligence, Photography, House music, Crème brûlée, Backpacking, History, Tea, Medieval Scandinavian Art, Sailing, Skiing, AI Alignment, Entropy/the Future of our Universe/Humanity’s role in it