Ansel K. Erol
Forward Deployed Engineer @ Baseten
San Francisco, CA
I’m a FDE at Baseten with a focus on deploying real-time, high-throughput software systems at scale for interactive model serving and artificial intelligence workloads.
My research at the Georgia Tech Systems for Scalable Intelligence (SCAI) Lab (advised by Dr. Divya Mahajan) centered on scaling ML inference on constrained and distributed systems, including efficient MoE model serving and edge computing on satellites. I have presented first-author work at MLSys ‘25 and ‘26, and received the Georgia Tech Outstanding MS Research Award and the Marshall D. Williamson Fellowship for academic excellence and effectiveness as a graduate teaching assistant for CS3600: Intro to AI.
I previously worked at Google (Mountain View, P&D Privacy Sandbox), where I optimized gRPC networking for a low-latency C++ inference system in private ML ad infrastructure. I am also a Board Member and former Finance Director of People for PSEO, a Minnesota non-profit advocating for dual-enrollment students.
Outside of work and research, I enjoy classical music, travel, pastry, and poetry — visit my passions page to learn more.
News
| Apr 05, 2026 | Thrilled to announce I’ll be joining Baseten as a Forward Deployed Software Engineer this June! |
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| Apr 01, 2026 | Honored to receive the Marshall D. Williamson Fellowship and the Georgia Tech Outstanding MS Research Award from the Georgia Tech College of Computing! |
| Mar 08, 2026 | Our paper Explainable Model Routing for Agentic Workflows was accepted as a Spotlight at the ACM CHI 2026 Human-Centered Explainable AI (HCXAI) Workshop! |
| Feb 12, 2026 | Presented EarthSight at the CRNCH Summit 2026, and it has been accepted to appear at the 2026 Annual Conference on Machine Learning and Systems (MLSys 2026)! Slides: https://mlsys.org/media/mlsys-2026/Slides/3792.pdf |
| Dec 01, 2025 | Gave an invited talk on Graph Theory at Izmir University of Economics (December 2025). |
Selected Publications
- EarthSight: A Distributed Framework for Low-Latency Satellite IntelligenceIn Annual Conference on Machine Learning and Systems (MLSys), 2026To appear. Also presented at GT Undergraduate Research Symposium (Apr 2025), MLSys Young Professionals Symposium (May 2025), and CRNCH Summit (Feb 2026)
- A Holistic Approach to Workforce Scheduling and RoutingTurkish Journal of Electrical Engineering and Computer Science, 2025Accepted, to appear