about me
About Me
Bio
I'm an ML research engineer and Computer Science student at Georgia Tech (B.S. 2026, M.S. 2028), with hands-on experience in model fine-tuning, training pipeline design, and neural architecture research. At GTRI I designed and validated novel training techniques that improved a physics-informed neural network's MSE by 12%, and at Equifax QLoRA fine-tuning across an ~8-billion-transaction dataset raised LLM classification accuracy from 75% to 99%. I'm comfortable across the full research stack: model internals, quantization, HPC scheduling, GRPO-RL, and agentic system design.
Experience
Data & Analytics Intern
May 2026 – Aug 2026Equifax · 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 99%.
- Used contrastive learning to fine-tune ModernBERT and fit a linear classifier, achieving the same results with ~100x speedup.
Student Assistant Researcher
Jan 2026 – May 2026Georgia Tech Research Institute · Atlanta, GA
- Extended a physics-informed neural network surrogate modeling rocket and flare infrared intensity sequences for military use.
- Designed and A/B-tested an intermediary-value loss module anchoring the physics loss to mid-network intermediate predictions.
- Implemented push-forward training — feeding model predictions back as inputs during training — improving test MSE by over 12%.
- Contributed to a YOLO-based object-detection pipeline for moving vehicles, using GPS coordinates to assign global position labels.
Team Lead, Automated Algorithm Design Researcher
Aug 2024 – Dec 2025Georgia Tech VIP · Atlanta, GA
- Applied multi-objective genetic programming with LLMs to evolve a CNN image classifier; benchmarked island configurations, finding multi-LLM setups yielded greater early diversity, with certain combinations degrading gene validity over time.
- 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 2024MessageGears · 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 and accelerating builds.
Projects
Spectral Text Encoder
- Built a spectral text encoder mapping tokens to sine triples summed into a fixed-length waveform embedding.
- Raised in-batch contrastive validation accuracy from 56% to 78% using frequency-separation and per-channel InfoNCE losses.
Wave Scalar Field Sequence Generator
- Built a PyTorch video transformer learning 2D wave dynamics from height frames via block-causal attention and RoPE.
- Reduced rollout error via a pushforward horizon schedule, velocity-supervision aux head, and residual conv refinement.
Agent-Powered Creator-Game
- Built an open-ended game converting spoken ideas into explorable 3D scenes using an agentic Gemma 4 loop with custom tools.
- Ran fully local inference on Apple Silicon using quantized models, FLUX for image generation, and TRELLIS for 3D mesh.
Zero External Data LLM Reinforcement Learning (IP)
- Designed a creator/solver self-play curriculum with verifiable rewards and a difficulty-calibration reward, using GRPO.
- Extended it to multi-turn RL (20 Questions) with a custom per-turn reward, then A/B tested periodic role-reversal.
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.