Ankit Shibusam

Software Engineer

United States3 yrs 5 mos experience

Key Highlights

Expert in building scalable distributed systems.
Proven track record in machine learning applications.
Experience with major tech companies like Google and Meta.

Stackforce AI infers this person is a Cloud Computing and Infrastructure specialist with a focus on scalable systems.

Contact

Skills

Core Skills

Software InfrastructureAmazon Web Services (aws)Distributed SystemsMachine LearningWeb Development

Other Skills

Software IndustryJavaTypeScriptAWS LambdaS3SNSDynamoDBGolangPython (Programming Language)Remote Procedure Call (RPC)GitPythonAPI DevelopmentRBACInstitutional Research

About

Experienced Software Engineer with a strong background in designing and developing large-scale distributed systems and end-to-end machine learning systems. I'm passionate about building scalable, reliable, and high-performance solutions that serve millions of users.

Experience

3 yrs 5 mos

Total Experience

1 yr 4 mos

Average Tenure

8 mos

Current Experience

Google

Software Engineer

Oct 2025 – Present · 8 mos · Mountain View, California, United States · On-site

Working on YouTube Ads

Amazon web services (aws)

Software Engineer Intern

May 2024 – Aug 2024 · 3 mos · Seattle, Washington, United States · On-site

Designed and developed a new async workflow for EC2 cost management using AWS lambda, S3, SNS and DynamoDB to improve overall utilization of provisioned infrastructure for different teams at Amazon.

Software InfrastructureAmazon Web Services (AWS)JavaTypeScript

Nutanix

Member Of Technical Staff

Jul 2021 – Aug 2023 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Worked as part of the VM and task management team at Nutanix.
Built a distributed tracing framework to identify and fix bottlenecks in VM management workflows. The framework is now internally consumed by multiple service teams and supports terabyte-scale observability data.
Designed and implemented APIs to support task management, including key features like granular Role-based Access Control (RBAC)

GolangPython (Programming Language)Distributed SystemsRemote Procedure Call (RPC)Git

Adobe

Research Intern

Jan 2021 – Jul 2021 · 6 mos · Noida, Uttar Pradesh, India · Remote

Developed a tool employing causality and deep learning techniques to predict reader engagement with online news articles for The Telegraph and understand the unimodal and cross-modal impact of article template, content, illustration, and other factors.
Achieved 70% accuracy on reader engagement predictions given a draft article and a user profile.
Leveraging causal learning, the tool provides rich recommendations to further optimize KPIs for reader engagement by up to 30%.

Machine LearningInstitutional ResearchData ScienceCausal InferenceGit

Nutanix

Intern, Member of Technical Staff

Apr 2020 – Jun 2020 · 2 mos · Bengaluru, Karnataka, India

Worked on the Task management framework and implemented multiple scalability improvements.
Tech Stack - Python, Go Lang, Distributed Systems

GolangDistributed SystemsRemote Procedure Call (RPC)Git

Indian institute of remote sensing (iirs), indian space research organization (isro)

Software Development Intern

May 2019 – Jul 2019 · 2 mos · Dehradun, Uttarakhand, India

- Developed a web application providing 3D visualization of geospatial data such as wind currents, serving as a tool to monitor air quality in India and raise alerts for anomalous readings using Support Vector Machines, CesiumJS, and Node.js.

JavaJavaScriptWeb DevelopmentGit