MS Computer Science at NC State
I'm a second-year master's student at NC State working on deep learning systems. Before grad school I spent a year as a full-stack developer at Prometheus Group, two summers as an intern at Fidelity, and a year in undergrad research on learned indexes.
Open to part-time and full-time roles in ML or software engineering.
Available during my master's and after graduation (May 2027).
Explains why US air quality spikes, not just what the number is
A live app that applies AirNow monitor data, Open-Meteo weather, and NASA FIRMS fire hotspots into ranked hypotheses for local AQI events. LLM briefings are grounded in this evidence and fact-checked by an LLM judge before they're displayed.
Finds cracks in bridge concrete from drone photos
A custom U-Net CNN with sliding-window inference over high-resolution UAV imagery, built to prioritize bridge inspection. Hyperparameters were tuned by Pathfinder, achieving a 9.85% increase in Dice.
0.747 Dice · 0.596 IoU · 92% recall · 0.89 F1
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Lets an agent interpret hyperparameter tuning in real-time
A decoupled HPO supervisor. The search runs on Optuna's TPE sampler, the FastAPI backend suggests hyperparameters in under 20ms and prunes weak trials, and an MCP server gives IDE agents read-only access to the run database; the optimization is never blocked by or dependant on the LLM.
Model compression tradeoff study for solar-powered ocean buoys
An edge deep-compression study for classifying marine microplastics on solar-powered IoT buoy cameras: quantization and pruning under simulated Raspberry Pi 4B constraints, measured against a LoRaWAN payload budget.
| Variant | Acc | Size | Latency |
|---|---|---|---|
| FP32 baseline | 98.91% | 5.98 MB | 370 ms |
| QAT INT8 | 96.10% | 4.24 MB | 347 ms |
| INT8 + prune 70% | 91.60% | 1.52 MB | 337 ms |
Trading off 7.3 accuracy points for -74.6% payload and self-sustaining solar power.
Prometheus Group
Full-stack developer · C#/.NET, React
Full-stack development on the flagship product in C#/.NET and React with Domain-Driven Design refactors; also built the testing framework that cut regression time by 40%.
Fidelity Investments
Software engineer intern · Java, Spring Boot, Azure
Java Spring Boot services and Azure Service Bus pipelines for 401(k) transaction processing.
UNC Charlotte
Undergraduate researcher · C++, HPC
Adapted Microsoft's ALEX learned index to dynamic graph workloads in C++; OpenMP parallelization for up to 20x speedup.
Fidelity Investments
Software engineer intern · Java, Spring Boot, AWS
REST APIs and AWS Lambda functions for the Fidelity Bloom debit card roundup feature.
M.S. Computer Science, NC State · ML/AI concentration · GPA 3.78
B.S. Computer Science, UNC Charlotte · Software Engineering · Magna Cum Laude · GPA 3.85
February 24, 2026
What I learned from a year of research on ALEX and other learned index structures.