Matvei Popov

Student Researcher at Trinity University (Full Time)

San Antonio, TX

May 2023 - August 2023 Conducting research on 3D animation synthesis and stylization with deep learning. Researching improvements for online and offline 3D motion stylization techniques using Spatial-Temporal Graph-Based Autoencoders and Encoder-Recurrent-Decoder Generative Models with Embedded Feature and Temporal Attention. Researching improvements for 3D motion in-betweening techniques using Multistage Transformers and Phase Manifolds. Received a Trinity University Murchison Research Grant.

AI/ML Intern at Forward Edge AI (Part Time)

San Antonio, TX

December 2022 - Present Leading a three person team building an anomaly detection pipeline with reinforcement learning based model selection, transformer predictive and generative models, RLHF, and physics-based models for the Isidore Quantum project. Listed as a co-author on the utility patent for the system. Working on internal research for the transformer and deep reinforcement learning models explainability. Fine-tuned a custom version Llama 2 using LoRA for internal use within the Gabriel Robocall Blocker.

Freelance Machine Learning Developer (Part Time)

Los Angeles, CA

October 2020 - December 2022 Developed a production computer vision pipeline which measures human body sizes based on two user photos with the average accuracy of 1.3 inches. Pipeline uses CNN’s, Autoencoders, transformer models, classical ML, and heuristics. It is currently used by BODS Inc. for fitting recommendations. Developed sales and customer behavior prediction ML pipeline using times series regression, LSTMs, and heuristics for Cuerpaso Inc. This pipeline contributed to increasing the average customer retention time for the online workout/nutrition programs by 120%.

ACM Tutor at Trinity University (Part Time)

San Antonio, TX

September 2022 - Present Tutoring Trinity University computer science students with class material and assignments, as part of the Association of Computing Machinery (ACM).

JetBrains ML Summer School Student, Research Assistant (Full Time)

Saint Petersburg, Russia

August 2019 Completed JetBrains Machine Learning Summer School and was selected to be a research assistant on adversarial attacks on convolutional neural networks research in JetBrains Machine Learning Lab. Assisted with assembling and uploading datasets into Google Cloud ML Engine.