Summary
Kent Ogisu is a Senior Machine Learning Engineer with eight years of experience applying state-of-the-art ML to solve real-world problems across defense and commercial tech. Currently at MongoDB, he builds cloud-native, microservice-oriented ML platforms and production deployments using AWS and serverless architectures. His background blends hands-on full-stack engineering with earlier airframe design work, giving him a practical systems mentality and attention to trade-offs in cost, weight, and performance. A Georgia Tech MS in Computer Science (ML/AI) complements a BS in Mechatronic Engineering, underpinning his strength in both algorithmic research and engineering execution. He’s passionate about automation and optimization, and is known for translating complex analytics into reliable, scalable services for mission-critical environments. An unassuming differentiator: his transition from aircraft structural design to production ML gives him rare cross-domain experience in rigorous systems engineering and applied AI.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Mechatronic Engineering, Bachelor of Science (B.S.) Mechatronic Engineering at Vaughn College of Aeronautics and Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
English, Portuguese, Japanese