Sayan Sinha is a Georgia Tech CS PhD student and applied researcher with nine years of experience building and deploying machine learning systems, specializing in time-series forecasting and robustness to noisy telemetry. His internships at Apple, Amazon, and Conviva focused on forecasting service demand, anomaly detection, root-cause analysis, and improving model explanations using LLMs, showing fluency across both research and engineering pipelines. Earlier roles in computer vision and contributions to GPU-accelerated deep learning kernels during Google Summer of Code demonstrate a strong systems and implementation background. He combines academic rigor—publishing work on practical forecasting tools—with hands-on experience in product teams, helping bridge model development and real-world operational constraints. Based in Atlanta, Sayan also cultivates open-source and student community initiatives from his IIT Kharagpur roots, signaling a commitment to mentorship and reproducible research.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Georgia Institute of Technology
Bachelor of Technology (Honours) Computer Science, Bachelor of Technology (Honours) Computer Science at Indian Institute of Technology, Kharagpur
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