Varun Shijo is a CSE PhD candidate at the University at Buffalo specializing in medical imaging and deep learning, with a decade of experience spanning research labs and production software roles. He combines hands-on research in photoacoustic and ultrasonic imaging with practical ML and cloud-native engineering—having built high-throughput Go services, integrated AutoML and Metaflow pipelines, and improved model performance with custom losses. As a graduate instructor and multiple-course TA, he communicates complex computer vision and ML concepts to students while continuing lab research at the Embedded Sensing and Computing Lab. Varun’s industry background includes shipping production ML systems and Terraform deployments at CentralSquare and insurance-tech engineering at Tata AIG, giving him a strong bridge between experimental research and deployable systems. He’s comfortable moving between low-level sensor/post-processing work and scalable orchestration for ML, and has a track record of optimizing codebases and leading scrum-driven deliveries. Based in Buffalo, NY, he brings a researcher’s rigor and an engineer’s pragmatism to problems at the intersection of imaging, ML, and systems.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (B.E.), Information Technology, Bachelor of Engineering (B.E.), Information Technology at SIES Graduate School Of Technology
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University at Buffalo
SSC, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, SSC, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES at Lok Puram Public School
Contributions:6 PRs, 30 pushes, 9 branches in 6 months
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