Tyler Alika Gee
I build AI and ML products from idea to production.
timeline
2026 -
Building AI-native products and agent systems with a focus on production deployment. Current work includes SearchForge (agentic SEO), Ordalis (document extraction SaaS), and Iris (AI for Mac).
2024 - 2026
Shipped multiple end-to-end applied AI projects across Cloudflare, Azure, and Apple Silicon tooling. Built systems spanning autonomous research agents, voice agents, retrieval pipelines, and MLX-based local inference.
2022 - 2024
Deepened focus on machine learning engineering and full-stack product delivery, combining modeling with practical deployment, evaluation, and user-facing UX.
education
[Add your degree and school].
bio
Tyler Alika Gee is an AI/ML builder working at the intersection of products, automation, and applied research. He focuses on practical systems that deliver measurable business value.
featured projects
Private repositories are marked as private.
- SearchForge (private) - Multi-tenant autonomous SEO platform built on Cloudflare Workers + Pages + Queues + R2 with orchestration and connectors.
- Ordalis (private) - AI-powered document data extraction SaaS optimized for edge-first architecture and low operating cost.
- Iris (private) - Jarvis-style AI for Mac with Swift-native app surfaces and automation-first workflows.
- Dexter - Autonomous financial research agent with planning, self-validation, and MLX-first local model support.
- DeepGen - Local-first genealogy research system with consent-aware workflows, multi-source retrieval, and evidence-backed updates.
- mlx-turboquant - Apple MLX implementation of TurboQuant-style vector quantization for efficient inference and KV cache compression.
- Kaleo - Hawaiian speech pipeline with Tacotron 2, FastSpeech 2, and HiFi-GAN for text-to-speech and speech tooling.
- VerilogDeepSeekR1 - End-to-end text-to-Verilog fine-tuning stack with supervised and RL training flows.
featured writing
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featured talks
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publications
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