Work

Experience and technical work across
machine learning and computer science.

Experience

2026.04 — 2026.09

Ollo, Inc.

AI/ML Engineer Intern

Worked on research and development for manufacturing video-analysis AI. This covered fine-tuning vision-language models, end-to-end development of a video-analysis pipeline, and accuracy improvements to existing algorithms.

Responsibilities

  • Fine-tuned and evaluated a pretrained vision-language model, and confirmed improvement over the base model.
  • Designed and implemented a pipeline that takes video input and produces analysis results with VLMs.
  • Improved an existing video-analysis algorithm through data augmentation and changes to the inference procedure.

Python · PyTorch · Hugging Face · Unsloth · OpenCV · Computer Vision · Machine Learning · Linux

Competitions

Kaggle Competition · 2026

103 / 2,963 teams

Top 3.48% · Silver Medal

A Kaggle competition in which I designed compact neural networks to solve ARC-AGI visual transformation tasks.

Machine Learning

Projects

Personal Project · 2026

Personal learning: DQN and PPO in PyTorch on Gymnasium environments. Training covers CartPole, Pendulum, and LunarLander, with videos of the learned behavior.

Python · PyTorch · Machine Learning

Personal Project · 2026

Personal learning in NumPy: fully connected layers, convolution, pooling, batch normalization, loss functions, and optimizers. Tests check the forward and backward passes, and small experiments show that an MLP and a CNN can train on tiny datasets.

Python · NumPy · Machine Learning