Summary
Vincent Saulys is a Senior Software Engineer in New York with 11 years of experience building production-grade systems across finance and startups, currently driving engineering work at Bloomberg. He blends machine learning, distributed systems, and product-focused engineering—shipping computer vision models and ELT pipelines at Zyper, early warning and developer-metrics systems at BNY Mellon, and ML-driven performance detectors at Bank of America. Comfortable working with quants and C-level stakeholders alike, he has a track record of turning research prototypes into low-debt, integrated platform features. A McGill and Columbia alumnus, he’s equally at home optimizing Dockerized deployments and tuning TensorFlow models for real-world data. Less obvious: he cut his teeth as a first engineer at a YC-backed hardware startup, building data collection prototypes on Raspberry Pi and Arduino that informed later large-scale production work.
11 years of coding experience