Dec 2026New-grad · UCF Computer Science · 3.73

Deployed tothe problem.

I build deployed systems for defense, real-time comms, and AI infrastructure. Open to forward-deployed, solutions, and software engineering roles.

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A defense contractor. A DoD program. A paying client. Three different fronts before my degree. All shipped. The client's is still running.

Proof, in public

Contributions upstream to the libraries the industry runs on, tracked live from GitHub, open and merged alike.

0upstream PRs
0major repos
0combined ★
Li
nautilus_trader
0 ★
merged
streamlit
0 ★
mergedLi
alpaca-py
0 ★
open
scikit-learn
0 ★
open
starship
0 ★
openLi
llama_index
0 ★
open
cypress
0 ★
open
Chart.js
0 ★
open
pandas
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open
dask
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open

I build systems that keep working after I leave.

Deployments

Where someone hired or sponsored me to ship it: a defense contractor, a DoD-sponsored program, and a paying client.

01 / 03Forward-Deployed Software Engineer Intern · 2026

GovSignals

Defense-sector data pipelines for a DoD contract bid: ingestion, transformation, and orchestration built under real security and compliance constraints.

  • Architected automated ingestion → transformation → orchestration pipelines
  • Processed high-volume operational streams under strict security + compliance
  • Scoped ambiguous mission requirements into production-ready architecture
Private DoD engagement · no public artifact
Built for a live DoD contract bidPythonPipelinesDoD compliance
02 / 03Sole engineer · paying client · 2025

Orleans Quality Cleaning

A real client with a real business and no engineering team. I owned the whole stack, from the marketing site to the phone line, and had it live in under thirty days.

  • Shipped the entire production stack from zero in under 30 days, solo
  • Built a 24/7 AI phone agent on Telnyx SIP with Llama 3.3 70B and RAG
  • Wired lead capture, email/CRM, ads, and payments into one event-driven flow
The Orleans Quality Cleaning site: Ottawa's Most Certified and Insured Cleaning Team, with the quote line and WSIB credentials.
Live in production · orleansqualitycleaning.caNext.jsTelnyx SIPLlama 3.3 70BRAGPayload CMS
03 / 03Forward-Deployed Technical Consultant · 2026

DIU · DoD Capstone

UCF-selected, DoD-sponsored independent assessments of pipeline architectures against operational requirements. Findings delivered to stakeholders.

  • Ran neutral engineering assessments of complex pipeline architectures
  • Validated system viability against strict DoD operational requirements
  • Bridged government stakeholders and engineering teams with objective reports
DoD-sponsored assessment · findings not public
Findings briefed to DoD stakeholdersArchitecture reviewDefenseTechnical writing

Systems I built

No brief, no client. Built because the problem was worth solving.

01 / 04Founder-engineer · production SaaS

Ringora

Multi-tenant power dialer: per-tenant row-level security, RBAC, isolated dialing sessions, low-latency WebRTC to the phone network.

  • Per-tenant row-level security + RBAC with isolated dialing sessions
  • Sub-second WebRTC connection setup over Twilio PSTN
  • Distributed call state on a live, enterprise-grade operator dashboard
The Ringora dialer: the marketing site beside a live dialing queue of leads with call scores.
Live in production · ringora.appNext.jsTypeScriptTwilioPostgreSQLWebRTC
02 / 04Real-time voice AI

TechHelpFL

A browser voice agent that runs a live sales conversation. Gemini Live over WebSocket, streamed WebAudio, tuned voice activity detection.

  • Runs a live sales conversation entirely in the browser
  • Gemini Live over WebSocket with streamed WebAudio
  • Tuned voice-activity detection for natural turn-taking
The TechHelpFL site: You already paid for the lead, you lost it in the follow-up, beside its recovery stats.
Live at techhelpfl.comGemini LiveWebSocketWebAudioNext.js
03 / 04GPU applied-ML pipeline

ClipPro

Whisper Turbo transcription on GPU, Gemini segment scoring across four dimensions, FFmpeg compositing. A content pipeline that runs itself.

  • GPU Whisper Turbo transcription + Gemini segment scoring
  • Proprietary 4-dimension scoring engine (Hook / Flow / Value / Trend)
  • Resilient async flow with automated retries, powering a 50K+ follower network
The ClipPro pipeline, six stages left to right: Long Video, Whisper Turbo on GPU, Gemini AI, Scene Detection, FFmpeg, Ranked Clips.
Powers a 50K+ follower networkPythonWhisperGeminiFFmpegFlask
04 / 04Winner, Best Use of Google Gemini · BloomKnights · 2026

PredictIt

Look at a live game through Ray-Ban Meta glasses and see who wins. The glasses stream to a desktop, Gemini reads the sport off a single frame, and the prediction market's own number comes back over the top.

  • SwiftUI app on Meta's Wearables Device Access Toolkit, WebRTC straight from phone to desktop
  • Gemini 3.5 Flash classifies the sport from one compressed JPEG; a director switches streams past 70% confidence
  • Local WebGPU YOLO player tracking, read against historical model and market probability packs
PredictIt running live on a Knicks vs Celtics game: YOLO tracking boxes over the players and a 52 percent win-probability dial beside the market's 51 percent.
Winner, Best Use of Google GeminiGemini 3.5 FlashSwiftUIWebRTCWebGPU YOLOMeta Wearables

Open source is the interview you cannot fake. These contributions were reviewed and merged by the maintainers who own the code.

Merged upstream

3 merged
nautilus_trader #4466

Fix bracket tp_post_only docstring default to True

MERGED · Jul 2026 · x2
streamlit #15949

Fix RuntimeError: reentrant call inside _io.BufferedWriter on Ctrl+C

MERGED · Jul 2026

Trained at the University of Central Florida. Proven in the field, from defense pipelines to a solo production build for a paying client, shipped end to end in under thirty days.

B.S. CS
UCF · Dec 2026 · 3.73, Dean's List
Defense
GovSignals intern + DIU DoD capstone
Contract
Orleans Quality Cleaning · full stack + AI phone agent