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ADRIAN T. MORTON //
I trust that you are authorized to view this, yes? Anyways, I'm Adrian T. Morton. Sole proprietor of this terminal uplink system. I'm a B.S. Computer Science undergraduate with experience primarily in Python, C/C++, and Java earned through a wide variety of academic and personal projects. I'm passionate about the future of software engineering and how AI/ML plays into it, actively building skills in model development and integration (generative and predictive), back-end engineering with full-stack flexibility, and optimized system design to construct impactful modern solutions to modern problems.
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// PERSONNEL FILE: MORTON, ADRIAN T.

B.S. Computer Science — Florida International University

Minor in Mathematical Sciences

INIT Build Team Lead  |  Full-Stack Engineer  |  ML Engineer

Adrian Morton is a backend-first engineer with deep expertise in AI/ML integration and full-stack systems development. He leads INIT Build teams from architecture to deployment, solving real-world problems with efficient, modern engineering stacks.

// EXPERIENCE LOG

INIT Build — Team Lead [Spring 2026]

Leading the development of NoteBud, an AI-powered RAG study companion built with LlamaIndex, Gemini, Next.js, FastAPI, PostgreSQL + pgvector, Docker, and Google Cloud. Designed a full-stack architecture to manage users, classes, notebooks, and source files end-to-end.

INIT Build — Team Lead [Fall 2025]

Architected an end-to-end ML pipeline with CatBoost, LightGBM, and Temporal Fusion Transformer models. Owned all core backend services in Python, enforcing modular design, reproducible training runs, and rigorous cross-validation with metric tracking for time-series workloads.

AI4ALL — Fellow

Built production-style ML models including Random Forest and XGBoost to forecast real-world signals with high predictive accuracy. Engineered features, performed hyperparameter tuning, and documented pipelines and results for future iteration.

// SKILLS MANIFEST
LANGUAGES
  • Python
  • C / C++
  • Java
  • SQL
  • TypeScript
  • JavaScript
  • Rust
  • Arduino
ML / AI
  • PyTorch
  • TensorFlow
  • LlamaIndex
  • LangChain
  • Google ADK
  • Qiskit
  • NumPy
  • pandas
WEB / BACKEND
  • FastAPI
  • Next.js
  • React
  • Node.js
  • Flask
  • RESTful API
  • Docker
DATABASES
  • PostgreSQL
  • pgvector
  • Vector DBs
  • Apache Parquet
CLOUD / TOOLS
  • Google Cloud
  • Git
  • Linux
  • Postman
  • Wireshark
// PROJECT DOSSIER
> NOTEBUD — INIT Build Spring 2026 AI-powered class notebook & study companion. RAG pipeline answers student questions with citations from their own course materials.
Stack : Next.js • FastAPI • PostgreSQL + pgvector • Docker • Google Cloud Features : LlamaIndex/Gemini RAG • PDF ingestion • groundedness scoring
> PRENERGYZE — INIT Build Fall 2025 Predictive system for electric utility grid load peaks enabling dynamic pricing and resource allocation.
Stack : PyTorch • CatBoost • LightGBM • Temporal Fusion Transformer Perf. : R² = 0.9434 on TFT model
> HARDLAUNCH — Sharkbyte 2025 Agentic AI workbench transforming founder ideas into structured business strategies through conversational intake.
Stack : Google ADK • Gemini 2.5 • FastAPI • LlamaIndex Features : Multi-agent system • session state mgmt • RAG + vector search
> OUTAGENT — Shellhacks 2025 High-throughput backend for utility grid ops with sub-minute situational awareness and hourly load forecasting.
Stack : FastAPI • Apache Parquet • PyTorch • LightGBM Features : Automated retraining • 12-horizon forecasting • custom feature eng.
// CONTACT UPLINK
EMAIL : atmorton04@gmail.com PHONE : 786-897-7008 GITHUB : github.com/Bomoga LINKEDIN : linkedin.com/in/adrian-thomas-morton
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