About

Aditya Deepak Bhat is a Software Development Engineer with a passion for Data Science and Machine Learning. He is currently pursuing a Master of Science in Computer Science at Arizona State University's School of Computing and Augmented Intelligence (SCAI). Aditya has completed his Bachelor of Technology in Computer Science and Engineering with a specialization in Data Science from PES University, Bangalore. Aditya has a diverse range of experience in software engineering, including working as a Software Engineer at the Network Test Lab at Aruba Networks, Hewlett Packard Enterprise R&D. Here, he developed applications that helped gain insights from stressed network test data and improve engineering productivity and automation. Aditya has also worked on internships and research projects in the areas of Machine/Deep Learning with applications in Finance, Speech Recognition, Text Processing, Image Classification, and Face Recognition. Aditya's technical expertise includes Software Engineering, Web Development, Testing, Data Science, Deep Learning, and Machine Learning. He is proficient in ReactJS, Flask, Python, MongoDB, and other related technologies. Aditya is a Full Stack Web Engineer Assistant at edplus at Arizona State University. Aditya is a mentor and has mentored seven undergraduate interns at Aruba Networks, HPE as a part of the campus to corporate program. He has also designed an end-to-end web application using MongoDB, Express, ReactJS, and NodeJS to assist in triage and reporting which reduced the manual effort of the triage team by 50%. Aditya has improved the resource utilization of 8000+ networking devices in the lab by 20% by developing a reservation tool with features like remote authentication with LDAP/ SSO, network auto-discovery using REST/SNMP, utilization statistics, etc. He has analyzed test execution data to identify bottlenecks which led to a 25% increase in sanity and regression test coverage. Aditya is actively looking for SDE roles and is open to discussions/calls/resume check. He has a relevant experience of 3.69 years and is a Data Science and Machine Learning Enthusiast.