Seab Navin
AI & Software Engineer
Projects
LLM Language Learning App
An LLM-powered application that generates contextual exercises and conversations to help learn new languages, built after struggling to learn Japanese.
ML Workflow Pipeline
End-to-end ML pipeline using Prefect for orchestration, with experiment tracking and production deployment.
AI Production Deployment Framework
Framework for deploying ML models in production with monitoring, scaling, and MLOps best practices on GCP.
Articles
What I found surprising about LLM from my perspective as an early user
Thoughts on the future of AI applications from 5 years in the ML field.
Machine Learning Workflow Series (Part 2.2): Data Processing with Prefect
End-to-end ML considerations including experiment tracking, monitoring, and production deployment.
How I build an LLM application that helps me learn new languages
Documents a creative language-learning tool built with LLM technology after struggling to learn Japanese.
About
Focused on deploying ML models in production and building AI applications. Successful AI projects require more than strong models — they demand production deployment and scalability through MLOps practices.