Aditya Dave
About Aditya Dave
Aditya Dave is a Software Engineer at Beyond Limits in Glendale, California, with extensive experience in full-stack development and machine learning pipelines.
Current Position at Beyond Limits
Aditya Dave is currently working as a Software Engineer at Beyond Limits in Glendale, California, United States. His responsibilities in this role include various advanced engineering tasks.
Previous Roles and Internships
Aditya Dave has held several significant positions before his current role. He worked as a Software Engineer Intern at Beyond Limits from 2022 to 2023. He also served as a Full Stack Engineer at Crosstown LA as a student worker from the University of Southern California for three months in 2021. His career includes a Senior Fullstack Engineer position at DnT Infotech LLP in Ahmedabad, Gujarat, India from 2020 to 2021. He also worked in roles such as Academic Expert at Infinizi Tech. Pvt Ltd, Fullstack Developer at AhamAdroit, and Java Intern at Adit Microsys Pvt. Ltd.
Educational Background
Aditya Dave studied at the University of Southern California, achieving a Master of Science (MS) in Computer Science from 2021 to 2023. He completed his Bachelor of Engineering (BE) in Computer Engineering at Gujarat Technological University, Ahmedabad, from 2013 to 2017. Additionally, he attained his Higher Secondary Education from Mirambika Higher Secondary School and his Secondary Education from Tripada International School.
Technical Contributions and Projects
Aditya Dave has made significant technical contributions across various projects. He implemented Kafka exactly-once processing in Flink Job, resolving a critical ETL pipeline issue. He also optimized a CI/CD pipeline, reducing Flink job initialization time dramatically. Moreover, he enhanced Flink pipeline efficiency and led a sub-team for integrating an ML Pipeline feature into a product. Dave architected a system for on-demand ML model training and contributed to cross-team evaluations of market-ready services. His efforts have also improved product feature response time and developed cross-product Python packages to facilitate machine learning integrations.