I’m currently a Research Engineer at AMD Japan, doing R&D work involving path tracing with neural rendering. I completed my master’s from the University of Tokyo, supervised by Prof. Toshiya Hachisuka and Prof. Nobuyuki Umetani. My research interests include light transport simulation, real-time rendering, neural rendering and machine learning.
MS in Information Science and Technology (Creative Informatics), 2021
The University of Tokyo
BE in Computer Engineering, 2016
Pune Institute of Computer Technology
During my stint at the Ecosystem Services Department, I helped design and ship global scale web apps around the major ID platforms. I also worked horizontally across all ecosystem services (Points, Payments, Membership) to enhance technical quality across the board.
Notable projects:
Design, develop and deploy a global-scale ID service layer using multi-regional kubernetes cluster with anycast routing using GCP. Service currently used by multiple Rakuten services across the globe, supporting hundreds of millions MAU.
Ebates+ID integration: Helped speed up production readiness for integration of the new ID platform with Ebates. Deployed core components closer to the ID data-centers in GCP for a massive decrease in login latency using HAProxy for fault tolerance.
GCP integration with Rakuten’s Data centers: As a consultant to the cloud and internal network teams, I helped setup and integrate GCP’s cloud interconnect to all ESD projects which required connectivity to on-premise resources.
Roles and responsibilities as architect:
Cloud architect: Enforcing governance and principles of least privilege for all cloud users within the department; introduced real-time billing updates to senior management and also helped decrease yearly cloud bills by ~¥12 million. Introduced best practices for cloud security and consulted teams on optimal GCP usage and best practices.
Release reviews: Lead weekly release reviews of Points, Payments and Membership sections. Enforced the 3 pillars of a successful release - safe, repeatable and stress-free. This helped reduce release troubles and increase fully automated releases.
Mentorship: Mentored new engineers with their on-boarding and training, and organised training projects for interns from various Canadian universities as part of their co-op program. The training introduced them to new technologies, internal and external, and platforms including Docker, Kubernetes, Kotlin etc. as a way to help them get up to speed with ESD’s existing projects.