Mussa Mayunga is an AI/ML Engineer based in Seoul with 8 years of software engineering experience building production-grade models and systems. He designs, trains, and deploys time-series, computer vision, and graph-based models using PyTorch, TensorFlow, PyTorch Lightning and PyTorch Geometric, and manages the full MLOps lifecycle with self-hosted MLflow, MinIO and PostgreSQL. His work bridges research and production: he’s developing a GNN to replace PDE solvers on netCDF data while also delivering automated inference APIs, reproducible DevContainer workflows, and containerized deployments. Prior roles as an iOS lead and real-time systems engineer give him a strong foundation in modular architecture, concurrency, payment integrations and low-latency communication. He’s pragmatic about reproducibility and onboarding, documenting and self-hosting infrastructure to shorten ramp-up time. Mussa’s blend of applied ML, systems engineering and hands-on DevOps makes him effective at turning complex models into maintainable, deployable services.
8 years of coding experience
7 years of employment as a software developer
Korean Language Studies, Korean Studies, Korean Language Studies, Korean Studies at Kyung Hee University
Telecommunication Engineering, Left, Telecommunication Engineering, Left at University of Dar es Salaam (UDSM)
Engineer’s Degree, Electrical and Electronics Engineering, Engineer’s Degree, Electrical and Electronics Engineering at Yonsei University
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