Anish Bose
About Anish Bose
Anish Bose is a Software Engineer at Convoy Inc, where he has worked since 2020. He holds a Bachelor's Degree in Computer Science from The University of Texas at Austin and has completed multiple internships at notable companies including Amazon, Facebook, and NASA.
Work at Convoy
Anish Bose has been employed at Convoy Inc as a Software Engineer since 2020. In this role, he has contributed to the Machine Learning Platform by developing an in-house feature store utilizing Apache Flink and Redis. He also created a model registry dashboard that enables data scientists to monitor various model metrics. Additionally, he built an event publishing framework that facilitates the emission and consumption of Kafka events. Anish is involved in ongoing projects, including re-architecting the model-deployment pipeline to transition machine learning models from ECS to Kubernetes.
Education and Expertise
Anish Bose earned his Bachelor’s Degree in Computer Science from The University of Texas at Austin, where he participated in the Turing Scholars Honors Program. His education spanned from 2016 to 2020. Prior to his university studies, he completed his high school education at Cedar Park High School from 2012 to 2016. Anish's academic background provides a strong foundation in software engineering and machine learning technologies.
Internship Experience
Anish Bose has gained diverse internship experience in the software engineering field. He interned at Amazon in 2018 for three months in Seattle, Washington. In 2019, he worked as a Software Engineering Intern at Facebook for three months in Menlo Park, California. He also interned at NASA Jet Propulsion Laboratory in 2017 for three months in Pasadena, California, and at the University of Texas in 2015 for one month in Austin, Texas. These internships have contributed to his practical skills and industry knowledge.
Technical Projects and Contributions
Throughout his career, Anish Bose has worked on several technical projects that demonstrate his software engineering capabilities. He developed an in-house feature store for Convoy's Machine Learning Platform and created a model registry dashboard for tracking model metrics. Anish also built an event publishing framework for Kafka events. His work on re-architecting the model-deployment pipeline reflects his involvement in significant engineering challenges, although this project remains unfinished.