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Computer Science graduate and software developer focused on AI deployment and web development. US citizen, eligible for government security clearance.

Computer Science graduate and software developer focused on AI deployment and web development. Designs, builds, and self-hosts production websites end to end — front end, backend, Linux ops, and on-prem LLM integration via Ollama. Production experience supporting AI-integrated enterprise software, with side projects spanning real-time inference benchmarking, native iOS apps, and live web tools. Comfortable across Python, JavaScript, Swift, and the systems stack underneath them.

AI / ML

PyTorch · ONNX Runtime · NVIDIA TensorRT · CUDA · computer vision (YOLOv8) · FP16 / Tensor Cores · ONNX export · TRT engine build · latency benchmarking (p50/p95/p99) · local LLM integration (Llama 3 / Ollama)

Languages

Python · JavaScript (ES6+) · Java (OOP) · Swift (SwiftUI) · HTML5 · CSS3

Systems & Tooling

Linux (Fedora) · Apache · Git / GitHub · VS Code · PyCharm · Xcode · Cursor · self-hosted deployment · reverse proxying · DNS

Engineering practices

Object-oriented programming · data structures & algorithms · concurrency · I/O · debugging · root-cause analysis · structured documentation · Agile / Kanban (Jira, Trello)

trtbench — Multi-Runtime Deep Learning Inference Benchmark

Python · PyTorch · ONNX Runtime · NVIDIA TensorRT · CUDA · 2026 · github.com/senorkey/trtbench

  • Built an end-to-end deployment pipeline for a YOLOv8n object detector and benchmarked inference latency and throughput across six runtime / precision configurations on an RTX 4080.
  • Achieved 1,211 FPS at 1.15 ms p99 latency with TensorRT FP16 — a 3.0× throughput improvement over PyTorch eager-mode CUDA on identical inputs.
  • Authored the ONNX export pipeline and TensorRT engine builders (FP32 and FP16) from PyTorch source weights; verified ONNX numerical parity within ~1e-4 of source and confirmed TensorRT functional parity on real images.
  • Designed a rigorous benchmark protocol — 20-iteration warmup, explicit CUDA stream synchronization, 200 timed iterations per configuration, p50 / p95 / p99 reporting — isolating pure forward-pass cost from preprocessing and NMS overhead.
  • Captured reproducible system metadata (PyTorch / CUDA / TensorRT / ORT / GPU / OS) per run and produced cross-platform comparison tables and latency-distribution charts; scoped future work including INT8 calibration and Jetson edge benchmarks.

frontendneeded.com — Self-Hosted Site with Local LLM Integration

Linux (Fedora) · Apache · JavaScript · Ollama · 2025–Present

  • Designed, built, and operate a 24/7 self-hosted Fedora Linux + Apache deployment; manage DNS, deployment workflow (Git-pull on server), and uptime.
  • Integrated a local Llama 3 LLM via Ollama, reverse-proxied through Apache, exposing an /api/chat endpoint that powers the on-device AI chat on this page — fully on-prem inference, no third-party API dependency.

Tarella Notes

Swift · SwiftUI · iOS · App Store

Designed and built a lightweight iOS notes app from scratch. Handled the full lifecycle — UI design, data modeling, and App Store distribution. Iterated on features based on real user feedback.

Warframe Price Checker

Python · asyncio · aiohttp · REST API

Built an asynchronous Python tool that fetches bulk item pricing data from the Warframe.market API, parses JSON responses, and surfaces the highest buy price per item for the user.

Technical SEO Specialist / Web Developer

CEUfast · Remote · 02/2025–02/2026 · GA4 Certified

  • Conducted technical audits on a large-scale healthcare platform, debugging crawl, indexation, and structured-data issues at production scale.
  • Designed and shipped a consumer-facing comparison interface; built and maintained scalable state-specific landing pages with CTA components driving internal linking and conversion.

Software Support Technician

CentralReach · Remote · 01/2023–01/2025

  • Subject matter expert and escalation point for two AI-integrated enterprise products (ScheduleAI, NoteGuardAI) within a healthcare-domain platform.
  • Applied structured debugging methodologies to diagnose application, configuration, and system issues; partnered with engineering and product to escalate and document root causes.

B.S. Computer Science

University of North Florida · Jacksonville, FL · 01/2019

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