about me

About Me

Jack Warren

Jack Warren

ML/AI Engineer · CS @ Georgia Tech

Atlanta, GA

[email protected]
View Resume

Bio

I'm a Computer Science student at Georgia Tech (B.S. 2026, M.S. 2028) focused on ML/AI engineering. I've fine-tuned and deployed LLMs, built ML research pipelines, and shipped production software — most recently at Equifax, where QLoRA fine-tuning across an ~8-billion-transaction dataset raised model accuracy from 75% to 96%. I like working across the whole stack, from model internals and quantization up to HPC job scheduling and agentic system design.

Experience

Data & Analytics Intern

May 2026 – Aug 2026

Equifax · Atlanta, GA

  • Fine-tuned and evaluated Gemma 3 4B and Gemma 4 E4B via QLoRA on Vertex AI Workbench to classify ~8B financial transactions across 30 primary and ~300 total categories.
  • Adapted Gemma 4 E4B for legacy infrastructure by modifying model internals to support older library versions.
  • Tuned quantization and dtype configurations for NVIDIA T4 GPUs, raising test accuracy from 75% to 96%.

Student Assistant Researcher

Jan 2026 – May 2026

Georgia Tech Research Institute · Atlanta, GA

  • Extended a physics-informed neural network surrogate predicting intensity signal sequences from input physical parameters.
  • Designed and A/B-tested an intermediary-value loss module anchoring the physics loss to mid-network intermediate predictions.
  • Implemented push-forward training — feeding predictions back as inputs during training — improving test MSE by over 12%.
  • Built a YOLO-based object-detection pipeline for moving vehicles, using GPS coordinates to assign global position labels.

Team Lead, Automated Algorithm Design

Aug 2024 – Dec 2025

Georgia Tech VIP · Atlanta, GA

  • Applied multi-objective genetic programming with LLMs to evolve a CNN image classifier; benchmarked single-LLM and multi-LLM island configurations for population-diversity tradeoffs.
  • Designed a multi-LLM island architecture supporting multi-population evolution, migration, and checkpointing.
  • Built a reproducible HPC pipeline on PACE-ICE using SLURM sbatch, H100/A100 allocation, and shared model storage.

Software Developer Intern

May 2024 – Aug 2024

MessageGears · Atlanta, GA

  • Standardized Angular/JSP actions UX with confirmation modals and shipped multiple UI fixes.
  • Rewrote Groovy/Spock API tests and split suites by endpoint, cutting runtime from minutes to seconds.

Education

Georgia Institute of Technology

B.S. Computer Science (May 2026) & M.S. Computer Science (expected May 2028) · Minor in Japanese · GPA 3.77 / 4.0

Relevant coursework: Deep Learning, Machine Learning, Probability & Statistics, Knowledge-Based AI, Algorithm Analysis, Computer Systems.

Languages

Python SQL C Java JS/TS Groovy

Libraries & Tools

PyTorch Transformers TRL PEFT Unsloth DEAP/GP scikit-learn Pandas NumPy OpenCV Streamlit CUDA Hugging Face SLURM (HPC) GCP Vertex AI BigQuery AWS S3

Interests

Machine Learning LLMs Graphics Game Dev Systems Mountain biking Japanese language & culture

Elsewhere