Animesh N.D

Animesh N.D

Research Collaborator @ UC Santa Barbara

Country

-

City

United States

Industry

Research

Skill

C++, Resource Management, Oracle Cloud, Go (Programming Language), Java Virtual Machine (JVM), Serverless Computing, Profiling Tools, Data Analysis, Mentoring, Teaching, Software Defined Networking, Edge Computing, Mixed Integer Programming , SMT solvers, Machine Learning, Distributed Systems, Kubernetes, Java, Bash, Python (Programming Language)

Experience

UC Santa Barbara

Research Collaborator

UC Santa Barbara

LinkedIn
2024-9 - Present · 2 yrs 1 mo

Established a research collaboration with Oracle labs to build schedulers for serverless computing on heterogeneous cloud environments.

UC Santa Barbara

Graduate Student Researcher

UC Santa Barbara

LinkedIn
2021-9 - Present · 5 yrs 1 mo

Santa Barbara, California, United States

Advised by Dr. Chandra Krintz and Dr. Rich Wolski, working on building ecosystems for edge computing and FAAS programming.

UC Santa Barbara

Teaching Assistant

UC Santa Barbara

LinkedIn
2021-9 - 2022-6 · 10 mos

Santa Barbara, California, United States

Was a Teaching Assistant for Computer Networking, Computer Architecture at the undergraduate level which involved. - Conducting class sessions on revision of course material and course related software tools - Grading and building assignments for students.

UC Santa Barbara

Early Research Student Program Mentor

UC Santa Barbara

LinkedIn
2021-9 - 2022-5 · 9 mos

Santa Barbara, California, United States

The Early Research Scholars Program (ERSP) is an academic-year, team-based research apprenticeship program that places special emphasis on mentoring undergraduate students.

Meta

Research Intern

Meta

LinkedIn
2025-6 - 2025-9 · 4 mos

Bellevue, Washington, United States

Designed and developed constraint solver-based resource manager for Meta’s AI/ML application pipelines to improve cluster utilization - Showcased efficiency of resource manager by minimizing applications moved to only 10% while successfully improving utilization across geo-distributed clusters - Also designed coordination of independent schedulers to work together across different parts of the infrastructure

Oracle

Research Intern

Oracle

LinkedIn
2024-6 - 2024-9 · 4 mos

Redwood City, California, United States

- Extended cloud serverless resources to be multi-tenant while maintaining an acceptable trade off with security and resource utilization - Reduced cost of keeping idle, provisioned serverless machines by improving utilization proportionally to the (number of CPU cores used by multi-tenant clients)/(total number of CPU cores)

Oracle

Research Intern

Oracle

LinkedIn
2023-6 - 2023-9 · 4 mos

- Profiled the impact of shared memory for serverless runtimes with JVM based applications - Improved cold starts by 9-29%, and memory usage by 1.2x, against native applications in a multi-tenant cloud

Indian Institute of Science (IISc)

Research Assistant

Indian Institute of Science (IISc)

LinkedIn
2020-9 - 2021-7 · 11 mos

Bengaluru, Karnataka, India

Worked on distributed edge storage systems and emulating IoT architectures using large scale docker deployments.

CERN

Google Summer of Code Student at CERN

CERN

LinkedIn
2020-5 - 2020-8 · 4 mos

Remote

Developed and designed a local replica of JAliEn central services for research and development. Containerised JAliEn, ALICE’s grid computing middleware, using docker deployments for developers to perform local testing and development. Accepted as Google Summer of Code proposal for the CERN ALICE project. (report linked)

Education

UC Santa Barbara

UC Santa Barbara

LinkedIn

Computer Science

2021-9 - 2026-9 · 5 yrs 1 mo
PES University

PES University

LinkedIn

Computer Science

2016 - 2020 · 4 yrs

Animesh N.D's Contact Information

Email

******@***.com

Phone

(**) *** ****

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