Summary
Stanley Celestin is a software engineer with nine years of experience blending AI/ML research and systems engineering, currently building object storage for air-gapped Google Distributed Cloud customers. With a PhD-student background at Cornell and research internships at the MIT‑IBM Watson AI Lab, he brings deep experience deploying distributed neural training pipelines and squeezing ML models onto resource-constrained microcontrollers. His earlier work spans robotics and real-time perception systems at Microsoft and full-stack/cloud tooling at GE, reflecting a knack for taking research ideas into production-ready infrastructure. Based in Ithaca, NY, he pairs rigorous academic training with practical product delivery and a community-focused leadership history from NSBE and campus organizations. An Ayisyen who works at the intersection of AI, ML, and robotics, he values mission alignment and making technical teams see how their work fits broader vision.
9 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Archbishop Curley Nortre Dame High School
Masters, Computer Science, Masters, Computer Science at Cornell University
Bachelor's of Science, Computer Engineering, Bachelor's of Science, Computer Engineering at University of Florida
English, Haitian Creole, French, Spanish