Justin Sison

hi, my name is

Justin Sison

AI/ML Engineer

I build AI systems that ship — agentic platforms, RAG pipelines, and full-stack applications serving real users in production.

Tampa, FLActive TS/SCIM.S. Artificial IntelligenceB.S. Computer Science
Python·LangChain·RAG·React·FastAPI·Ollama·Docker·TensorFlow·PostgreSQL·Whisper·MCP·Next.js·MongoDB·HuggingFace·
Python·LangChain·RAG·React·FastAPI·Ollama·Docker·TensorFlow·PostgreSQL·Whisper·MCP·Next.js·MongoDB·HuggingFace·

01 // about

About me

I'm an AI/ML Engineer with 7+ years of software experience and an active TS/SCI clearance. I drive AI strategy and architecture for Special Operations Command Central (SOCCENT) — turning emerging technology into deployed, mission-ready capability across air-gapped and classified environments.

My work spans agentic AI platforms, RAG pipelines, and full-stack systems. I architected a SOCOM-adopted Agentic AI chat platform serving 200+ daily and 20,000+ total users, and I've shipped a command-wide personnel readiness platform plus a multi-drone command & control system with a natural-language AI mission assistant.

Beyond shipping, I mentor junior developers in engineering best practices and code quality — building teams that move fast without breaking trust.

0+

years building software

0K+

users on platforms I've shipped

TS/SCI

active clearance

02 // experience

Where I've worked

Iron EagleX / General Dynamics

Tampa, FL

Data Scientist Principal

May 2026 — Present

  • Drive AI implementation strategy and technical architecture for Special Operations Command Central (SOCCENT), setting engineering standards and advising leadership on technology selection, feasibility, and the prototype-to-production roadmap

Data Scientist

Oct 2025 — May 2026

  • Led R&D for SOCCENT, delivering 25+ MVPs to rapidly validate and prototype AI-powered capabilities for operational use
  • Engineered a command-wide personnel readiness platform on FastAPI and React — real-time status tracking, schedule-driven updates, and role-based access with LDAP integration — replacing manual spreadsheet workflows
  • Built a Multi-Drone Command & Control platform letting zero-experience operators plan and monitor missions in real time (ArduPilot/PX4 via MAVLink) with geofencing, collision detection, and a custom MCP-powered AI mission assistant for natural-language planning — React/TypeScript + FastAPI on AWS EC2
  • Mentored junior developers in engineering best practices and orchestrated partnerships with key stakeholders and technology vendors

Data Analyst

Dec 2024 — Oct 2025

  • Architected an Agentic AI chat platform adopted by SOCOM — 200+ daily active and 20,000+ total users in air-gapped environments — with RAG and MCP, built on React, FastAPI, and MongoDB
  • Developed multimodal AI (speech-to-text, text-to-speech, image generation, OCR) with hybrid vector + keyword RAG, full Microsoft 365 integration, and LDAP/Kerberos/Entra ID authentication
  • Automated video teleconference workflows with n8n, OpenAI Whisper, and LLMs to transcribe meetings and generate executive summaries
PythonReactTypeScriptFastAPIMongoDBRAGMCPAWS EC2n8nWhisper

The Florida Lottery

Tallahassee, FL

Programmer Analyst I

Nov 2023 — Dec 2024

  • Engineered promotional gaming apps for the Second Chance platform — the #1 U.S. lottery by sales ($9.1B+ annual revenue) — with a JavaScript/HTML/CSS frontend, Java backend, and ticket validation supporting 100,000+ player accounts
  • Designed and optimized complex SQL queries and relational database operations for player account management and ticket verification at scale, validated through comprehensive Postman API testing
JavaJavaScriptSQLPostman

T-Mobile

Tampa, FL

RF Data Engineering Intern

May 2022 — Aug 2022

  • Built interactive Power BI dashboards on SQL databases for real-time RF network optimization across 100+ tower sites in Tampa Bay, informing tower placement and upgrade recommendations that improved customer satisfaction
Power BISQL

ID TECH

Remote

Lead Coding Instructor

May 2020 — Dec 2021

  • Taught Python, C++, Lua, and Scratch to students ages 7–17, building foundations in algorithmic thinking and software development
  • Designed modular curriculum frameworks and managed 20+ instructors, developing reusable instructional content
PythonC++Lua

TTI Computer Services

Tampa, FL

Field Service Technician

Aug 2019 — May 2022

  • Diagnosed and resolved hardware/software failures across 100+ BayCare Health System sites, maintaining medical workstations and printers for zero-downtime operations
  • Deployed and maintained AeroScout IoT tracking for real-time temperature and humidity monitoring across blood banks, pharmacies, and labs
HardwareIoTWindows

// education

M.S. Artificial Intelligence

Florida Atlantic University

Dec 2025 · Summa Cum Laude · GPA 3.91 · FAU Graduate Grant

B.S. Computer Science

Florida Atlantic University

May 2023 · Magna Cum Laude · GPA 3.75

03 // projects

Things I've built

RAG Chat
AI

RAG Chat

Full-stack RAG chatbot with user auth and persisted conversation history. Upload and parse documents into a knowledge base, then chat with an AI that retrieves relevant context for grounded answers.

PythonFastAPIReactPostgreSQLLangChainOpenAIDocker
Photo Storage
AI

Photo Storage

Flask app containerized with Docker on Google Cloud Run. Uploaded photos invoke the Gemini API to generate captions stored alongside the images, backed by Cloud Storage and Datastore.

PythonFlaskDockerCloud RunGemini
Cocktail Recipes
Web

Cocktail Recipes

React app on Firebase showcasing cocktails with ingredients, prep instructions, and images via TheCocktailDB API. Sign in with Google to save and manage favorites.

ReactFirebaseFirestoreFramer Motion
Landmark District
Web

Landmark District

Production website for a retail plaza in Old Louisville — tenant information, business listings, and plaza amenities in a responsive design.

ReactJavaScriptCSSNetlify
Libeccio Limited
Web

Libeccio Limited

Website for a Louisville real estate firm established in 1880, showcasing property acquisition, development, and management services.

Next.jsTypeScriptCSSNetlify
Tail Together
Mobile

Tail Together

iOS social networking app for discovering venues and events and meeting people with shared interests. Auth, event creation, direct messaging, and image uploads.

SwiftXcodeParseCocoaPods
Face Recognition — Olivetti
ML

Face Recognition — Olivetti

Neural networks for image classification on the Olivetti Faces dataset. Explores architectures in TensorFlow/Keras with 10-fold cross-validation to identify the best model.

PythonTensorFlowKerasSklearn
Dogs vs Cats Classifier
ML

Dogs vs Cats Classifier

Feedforward neural network classifying dog and cat images with Keras — regularization, 10-fold cross-validation, and epoch-level accuracy analysis.

PythonKerasTensorFlowSklearn
Wine Quality Analysis
Data Science

Wine Quality Analysis

Regression study of wine quality: simple linear, multiple linear, and logistic regression over alcohol content, sulfur dioxide, pH, and density.

PythonPandasStatsmodelsSeaborn
Maternal Health Risk
Data Science

Maternal Health Risk

K-means clustering of IoT health-monitoring data from rural Bangladesh into risk profiles, with LDA revealing clear separation among risk groups.

PythonPandasSklearnMatplotlib

04 // skills

What I work with

Languages

PythonJavaScriptTypeScriptJavaC/C++C#SQLSwift

AI / ML

LLMsLangChainOllamaHuggingFaceTransformersRAGMCPWhisperOCRn8n

Frameworks

ReactNext.jsFastAPIFlaskNode.jsExpressREST APIsMicroservices

Tools & Platforms

DockerAWS EC2MongoDBPostgreSQLElasticsearchOracleAzure DevOpsPower BILinuxGitClaude CodeCursor