Projects
A few things I've built that I'm proud of.
Education
Where I studied.
Vanderbilt University
M.S. & Ph.D. in Computer Science — Artificial Intelligence & machine learning
Key Courses
Texas Tech University
Bachelor of Science in Computer Science, Minor in Mathematics
Key Courses
Experience
Places I've worked and problems I've solved.
Role Description
- •Built research.team, an LLM-powered grant discovery and team-formation platform, grounded in a mixed-methods HCI study (N=36 interviews, N=306 surveys).
- •Shipped a dense retrieval engine over 80,000+ federal grants and 500 researcher profiles that beat BM25, TF-IDF, and keyword baselines (MRR 0.54 → 0.74; nDCG@5 +47%).
- •Teaching Assistant for Algorithms (CS 3250), supporting 60+ students through weekly office hours, exam review sessions, and grading on core data structures and complexity concepts.
Role Description
- •Engineered AWS Glue ETL jobs to reconcile 11M+ InContact records with NICE APIs, eliminating call-recording gaps and automatically generating NACHA-compliant audit reports.
- •Designed a Kafka + MuleSoft event-driven streaming pipeline propagating donation events across downstream services, deployed on OpenShift through Jenkins CI/CD and sustaining 99.9% uptime.
- •Enforced data quality with multi-layer validation across .NET APIs and SQL Server data contracts, rejecting malformed donor records at ingest rather than surfacing them in downstream reporting.
- •Replaced a legacy .NET donation system with a React + .NET platform, cutting call-center handling time by 20% and achieving full PCI compliance across all transaction flows.
Role Description
- •Built a unified data catalog consolidating 5,000+ assets (PDFs, videos, decision trees) from Brandfolder, Wistia, and Stonly into AWS Aurora, with nightly sync pipelines, automated metadata extraction, and cross-source taxonomy mapping.
- •Migrated AGCO's monolithic marketplace to a distributed architecture on AWS Aurora, removing shared-database coupling and enabling independent per-service deployments.
- •Automated nightly 900-page reporting via a Puppeteer + S3 batch pipeline, eliminating manual report generation and saving hours of analyst time per week across Precision Planting sites.
- •Delivered 15 production REST APIs on Aurora Serverless with standardized data contracts and JWT auth, consolidating data access for downstream consuming services.
Role Description
- •Launched a unified API developer portal spanning all HCSS products, scaling to 2M+ weekly interactions with sub-second response times.
- •Automated API publishing and validation for 10 engineering teams by shipping a custom Azure Marketplace pipeline extension, cutting per-release manual overhead 3x.
- •Reduced API release lead time from 2 days to 6 hours by designing multi-stage CI/CD pipelines across QA, staging, and production environments in Azure DevOps.
Role Description
- •Designed normalized MySQL schemas and ETL pipelines on AWS to power real-time analytics, surfacing product KPIs that directly informed prioritization decisions.
- •Delivered full-stack features with React, Spring Boot, and OAuth2 on AWS, and conducted 20+ customer discovery interviews to define MVP scope.
Research Assistant
Mobility Automation Lab, Texas Tech University
Role Description
- •Built an edge-to-cloud streaming pipeline on AWS EC2/S3 ingesting real-time NVIDIA Jetson sensor streams, enabling live position tracking and proactive fault detection via WebSocket dashboards.
- •Implemented RGB-D SLAM using ROS and probabilistic sensor fusion, improving real-time mapping accuracy for autonomous robots in dynamic environments.
Skills
What I work with day to day.
Certifications
Credentials I've picked up along the way.
AWS Certified Machine Learning Engineer – Associate
Amazon Web Services · June 2026
AWS Certified Data Engineer – Associate
Amazon Web Services · May 2026
AWS Certified Solutions Architect – Associate
Amazon Web Services · December 2024
AWS Certified Developer – Associate
Amazon Web Services · January 2025
HashiCorp Certified: Terraform Associate
HashiCorp · June 2025
AWS Certified Cloud Practitioner
Amazon Web Services · November 2023
AWS Certified AI Practitioner
Amazon Web Services · June 2026
About Me
The short version.
I'm a CS PhD student at Vanderbilt, working within the SOL Lab. My interests sit at the intersection of deep learning, machine learning, and AI systems: not just whether a model works, but what it takes to serve and scale it.
Most of my time goes to research.team, where I build retrieval over federal grant data and then sit down with researchers to find out where the rankings get it wrong. Before the PhD I spent three years as a software engineer at St. Jude, AGCO, and HCSS, mostly on data pipelines and event-driven services.
Outside of that I play tennis and pick up a side project whenever a paper looks worth reimplementing myself.
Get In Touch
Have something in mind? Let's talk.