In seasonUTPB football GPS and wellness reporting. Teaching HMPF 3370 this fall.
Strength and conditioning coach at the University of Texas Permian Basin. I direct baseball and men's basketball, assist with football, and build the systems that tell us whether the program is working.
I direct baseball and men's basketball and assist with football at UTPB, and coach at D1 Training Midland. Phase-based programming: concurrent periodization, zone-based sprint work, and loading transitions planned as carefully as the phases themselves.
GPS load monitoring on STATSports Sonra and Catapult, force plates, velocity-based training, wellness check-ins, and DXA body composition. The output is always a report a head coach can act on before practice, not a spreadsheet.
Human Performance at UTPB since 2025, teaching athletic administration, coaching strategy, and anatomy. On the department's research team, lead investigator on an IRB study, and supervisor of the intern staff.
3D-printed training equipment I design and print myself, a department athlete management system, and AI tooling with de-identification built in from the first line.
Commercial platforms are built for bigger budgets and bigger staffs. I built UTPB's own: one database for GPS, force plate, wellness, strength testing, and body composition, with row-level security on every view. It now runs across the athletic department.
Read-only guest account
c1-ams.sportsperformance.workers.devA pipeline from raw vendor CSVs to decision-first PDF reports for S&C staff and sport coaches: acute:chronic workload tracking, positional baselines, and year-over-year comparisons. On the soccer side, the Catapult system was running three conflicting velocity band schemes at once, which made every speed number it produced unusable. I audited the configuration, rebuilt the thresholds around female team-sport physiology, and wrote the SOP that keeps them consistent, which put the system back in service. With speed data we could trust, we layered anaerobic speed reserve on top of it to write individual running prescriptions for players who needed in-season top-ups.
Preseason DXA scans analyzed across multiple collegiate teams toward publication, with limitations documented up front. The same scans feed two reports: full terminology and raw tables for staff, plain second-person language for athletes.
One-page football reports built on live athlete check-ins, with a test for selection bias on high-compliance days.
Weekly · in seasonSquat and bench progressions across three in-season phases with velocity targets. Pitcher squat workload ratio held between 0.87 and 1.11 over 12 sessions.
Velocity-basedReact app for three sports: tiered player, coach, and S&C reports, readiness flags, and athlete logins locked to their own data.
Pre-releaseFive production Claude skills: GPS session reports, DXA reports, athlete data de-identification, Notion sync, and tracker builds.
Deployed
Coaching and teaching are the same job: take something technical and make it usable by the person in front of you.
Experience
Education
Measure early, estimate late. A new phase starts with real performance data, not carry-over numbers from a lift the athlete hasn't done in six weeks.
Thresholds fit the athletes in front of me. Division II benchmarks, drawn from literature that matches the population, not professional or FIFA standards.
Every report has an audience. Staff get the full terminology and the raw tables. Athletes get plain language about their own body.
Privacy is a design constraint. Athlete data is de-identified before it leaves the building, and FERPA shapes the architecture, not just the policy page.
Rugbyorganizing college chess tournamentsMidland RockHoundsthe Buffalo Billscookingtravel