Saimon Tsegai is a PhD student and Graduate Research Assistant at Virginia Tech specializing in LLM systems and agentic AI, with five years of hands-on experience building and deploying practical AI solutions. He has engineered large-scale training datasets and evaluation pipelines at the Technology Innovation Institute, and implemented quantization frameworks and on-device LLM deployments that prioritize privacy and low-latency inference. His background spans full-stack delivery—from Flutter mobile apps and Angular web integrations to backend APIs and optimized data storage on AWS—reflecting a strong systems-to-models fluency. Academically rigorous (4.0 PhD studies at Virginia Tech and a 3.96 BEng from Khalifa University), he blends research depth with production engineering, notably automating end-to-end model workflows and extending multilingual coding evaluation tooling. Colleagues describe him as a pragmatic builder who pushes research into deployable, resource-efficient AI products.
5 years of coding experience
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at Virginia Tech
Bachelor's degree, Computer Engineering, 3.96/4.0, Bachelor's degree, Computer Engineering, 3.96/4.0 at Khalifa University
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