MY STORY

A short, honest narrative — the kind recruiters actually read. Research + systems + taste for clean design.

Research • HPC • LLM Distillation

Timeline

Now
Energy-aware ML systems + Knowledge Distillation

I build reproducible KD pipelines, measure GPU/CPU power, and connect performance retention to energy-per-token. I like research that ships.

2024-2025
Single Board Cluster Competition

A Single Board Cluster Competition challenges student teams to design, tune, and operate a parallel SBC-based HPC system by running standard benchmarks like HPL and HPCG, alongside optimizing a mystery parallel simulation application that tests real-world performance, scalability, and system engineering skills. Placed 2nd

2025 Winter Classic Invitational Student Cluster Competition

The Winter Classic Invitational Student Cluster Competition is a virtual, mentor-guided HPC competition where top student teams optimize real scientific applications on national-lab-scale systems and showcase both performance and presentation skills. Team Matador: Placed 3rd

Before
Software engineering foundations

Web tooling, internal apps, and learning to design interfaces that feel intentional — not accidental.

What I optimize for

Clarity
Readable code, readable results.
Systems thinking
Measure reality, not vibes.
Craft
Design that looks calm and intentional.

Current focus - Knowledge Distillation Methods on LLMs

Publishing strong results around energy-efficient distillation that proves I can do both: research rigor and production-quality engineering.

TypeScriptSLURMPyTorchTelemetry

Side Project - Reliable Cluster Managment

Publishing robust results in reliable cluster management while designing, esting, and deploying a custom monitoring system—demonstrating both research rigor and production-grade engineering through end-to-end system design, hardware-level coding with 20+ I²C devices, and full system deployment.

C++Radxa X4I2CNetworkSystem DesignMonitoring Systems
“Small models. Big measurements.”

I'm most interested in work where performance claims come with real system evidence.

“Real systems. Real measurements.”

I also play a role in reliable cluster management where operational claims are backed by concrete, end-to-end system evidence.

Want the long version?
I can share a 1-page research summary + links to code and results.
LET'S TALK