Tyler Alika Gee
I build practical AI, data, and web systems that move from idea to production.
timeline
2025 - Present
AI and data work in financial services at Sunwest Bank, focused on practical production use cases, automation, and decision-support systems.
2024 - 2025
Data Scientist/AI Engineer at Datafy in Ogden, Utah. Built AI-driven analytics for geolocation and video insights, anomaly detection models, reinforcement learning systems, and MLOps workflows for improving models after launch.
2018 - Present
Data Scientist/AI Engineer at the University of Utah (part-time/research track), building ML systems for medical diagnostics, data pipelines, and edge deployment on NVIDIA Jetson platforms.
2022
Data Scientist/AI Intern at Micron Technology (Boise). Built visualization tooling, manufacturing analytics dashboards, and ML pipelines for metrology prediction.
2021
Process Engineer Intern at Marathon Petroleum in Salt Lake City, applying process optimization work to refinery operations and throughput economics.
education
B.S. Chemical Engineering, University of Utah (3.3 GPA).
A.S., Weber State University (3.8 GPA).
bio
Tyler Alika Gee is an AI and data scientist who builds useful software at the intersection of machine learning, automation, and web products. His work spans finance, healthcare, semiconductor manufacturing, cultural projects, and edge AI. He is most interested in systems that make complex data easier to act on.
sites and products
Current public projects, product sites, and community builds. Links were checked May 22, 2026.
business and AI platforms
- ValdrSystems - Web services for high-stakes firms, covering strategy, buildout, launch, and ongoing improvement.
- SearchForge - AI search visibility platform for finding citation gaps and improving how companies appear in AI answers.
- Ordalis - Document automation product for turning PDFs and business documents into structured, usable data.
- Common Compute - Batch AI compute platform for jobs such as embeddings, transcription, OCR, reranking, and image captioning.
- appsprintai - Private early-stage build focused on quickly turning product ideas into working applications.
community and cultural sites
- Keko'olani Reunion - Family reunion site for registration, schedule details, genealogy, logistics, and attendee updates.
- Waipi'o Cultural Experience - 'Ohana-led cultural program site for small-group experiences in Waipi'o Valley, built around mo'okū'auhau, 'āina, mo'olelo, and kuleana.
- GraderHood - Platform where homeowners can search, review, and compare HOAs with community feedback.
- 'OhanaAI (repo) - Public hub for applied AI work, experiments, and community-oriented software.
open-source and research projects
- HILO - Hierarchical Imaginative Latent Operator, a research architecture combining state-space memory, diffusion-based subgoal planning, hierarchy, and predictive coding for long-horizon goal completion.
- TANGRAM - Temporal Action-aware Neural Graph Representation for active manipulation and robotics research.
- Makakilo (NDA) - Computer vision interface that processes uploaded video and derives tabular behavioral metrics.
- mlx-turboquant - Apple MLX quantization and compression work for efficient local inference on Mac hardware.
- DeepGen (repo) - Genealogy research platform for finding missing ancestors, connecting public data APIs, tracking evidence, and using an LLM of choice.
- VerilogDeepSeekR1 - Text-to-Verilog model adaptation work based on DeepSeek R1.
- SNN-MLX - Spiking neural network experiments built on Apple MLX.
- Kaleo - Speech-to-text and text-to-speech project for 'Ōlelo Hawai'i.
private systems
- Iris - AI for Mac with native app surfaces, assistant workflows, and local automation.
- MLX Diffusion - Image-generation and diffusion-model workflows optimized for Apple Silicon.
Need help building or improving an AI-enabled site or product? Work with me via ValdrSystems.
highlights
- Led AI work on medical diagnosis research using breath-sample data and ML/CNN methods.
- Built MLOps pipelines for iterative retraining and deployed ML classification workflows to Linux-based NVIDIA Jetson edge devices.
- Built AI tooling across SQL, pandas, Django, Tableau, and cloud systems (AWS + Azure), with production-oriented data pipelines.
featured talks
- Guest Lecturer - David Eccles School of Business, University of Utah.
publications
- GC-MS and electro-chemical breath-data classification research paper (in progress).