Ansel K. Erol

BS/MS Computer Science @ Georgia Institute of Technology · Incoming FDE @ Baseten Labs

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San Francisco, CA

I’m a BS/MS student at Georgia Tech (graduating May 2026) studying Computer Science, with a focus on the challenges of deploying real-time, high-throughput software systems at scale — for analytical, machine learning, and transaction processing workloads. I am also a Graduate Teaching Assistant for CS 3600: Artificial Intelligence.

My research at the Systems for Scalable Intelligence (SCAI) Lab (advised by Dr. Divya Mahajan) centers on scaling ML inference on constrained and distributed systems — efficient MoE model serving and edge computing on satellites. I have presented first-author work at MLSys ‘25 and ‘26, and received the President’s Undergraduate Research Award and the Marshall D. Williamson Fellowship.

On the industry side, I interned at Google (Mountain View, Summer 2025), where I optimized gRPC networking for a low-latency C++ inference system in private ML ad infrastructure. I am an incoming Forward Deployed Software Engineer at Baseten (San Francisco, starting June 2026). 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 share two updates: I’ll be joining Baseten as a Forward Deployed Software Engineer this June, and EarthSight has been accepted to MLSys 2026 — my first first-author conference paper!
Apr 01, 2026 Honored to receive the Marshall D. Williamson Fellowship 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)!
Dec 01, 2025 Gave an invited talk on Graph Theory at Izmir University of Economics (December 2025).

Selected Publications

  1. EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence
    A. K. Erol, S. Lee, and D. Mahajan
    In Annual Conference on Machine Learning and Systems (MLSys), 2026
    To appear. Also presented at GT Undergraduate Research Symposium (Apr 2025), MLSys Young Professional’s Symposium (May 2025), and CRNCH Summit (Feb 2026)
  2. Efficient Scheduling for Low-latency Satellite Intelligence
    A. K. Erol
    Georgia Institute of Technology, 2025
  3. Explainable Model Routing for Agentic Workflows
    M. Okamoto, A. K. Erol, and M. Riedl
    2026
    Spotlight
  4. Trust by Design: Skill Profiles for Transparent, Cost-Aware LLM Routing
    M. Okamoto, A. K. Erol, and G. Matlin
    In 8th Annual Conference on Machine Learning and Systems, Young Professional’s Symposium, 2025
  5. A Holistic Approach to Workforce Scheduling and Routing
    C. K. Manalp, A. K. Erol, K. Erol, and 1 more author
    Turkish Journal of Electrical Engineering and Computer Science, 2025
    Accepted, to appear