SDE at Amazon

Hi, I'm Tri Vikram

Software Development Engineer passionate about building high-performance distributed systems, container runtimes, and developer tools.

Tri Vikram

About Me

I am a Software Development Engineer at Amazon with a Master's degree in Computer Science from Florida State University. I specialize in building scalable distributed systems, with deep expertise in high-performance computing, full-stack development, and system optimization.

With extensive experience at ServiceNow, I developed user interfaces using modern frameworks and implemented server-side logic and APIs with JavaScript, significantly improving application stability and performance. At Florida State University, I focused on distributed systems, parallel programming, and advanced operating systems. I worked on MPI and RDMA for parallel programming, socket programming for system-level communication, and AI/deep learning applications. My research focused on optimizing file systems using CNTR and ExtFUSE, and using model pipelining to run large language models in parallel for improved training efficiency.

My goal is to combine my expertise in systems research, distributed computing, and full-stack development to build scalable and efficient infrastructures at Amazon. I aspire to grow as a software engineer, leveraging my skills in system optimization, AI/ML, and backend technologies to solve complex problems at scale.

Domain Expertise

Distributed SystemsHigh-Performance ComputingMachine LearningParallel ProgrammingContainerizationAutomation TestingWeb Development

Skills

Technologies

Python
C/C++
Java
JavaScript
TypeScript
HTML
CSS
React
Angular
Next.js
Node.js
Express.js
MySQL
PostgreSQL
MongoDB

Tools & Platforms

Git
Docker
VS Code
GitHub
Postman
GCP
AWS
Jenkins
Eclipse
IntelliJ IDEA
ServiceNow

Education

Logo of Florida State University

M.S. in Computer Science

Florida State University

Jan 2024 – Aug 2025

Specialized in Advanced Operating Systems, Parallel and Distributed Programming, and applications of AI/Deep Learning in high-performance systems

Logo of BITS Pilani (WILP)

M.Tech in Software Systems (Data Analytics)

BITS Pilani (WILP)

Jul 2021 – Jun 2023

Worked on scalable ML systems and gained expertise in distributed computing, AI/ML, and data analytics

Logo of KL University

B.Tech in Electronics and Communication Engineering

KL University

Jul 2016 – Jun 2020

Built strong foundations in communication systems, digital logic, embedded systems, and represented ACM ICPC

Experience

Amazon

Software Development Engineer

Amazon
CurrentAug 2025 – Present
  • Building scalable distributed systems and services at Amazon.
  • Developing and maintaining high-performance backend services.
  • Collaborating with cross-functional teams to deliver customer-facing features.
Florida State University

Graduate Assistant (Research & Teaching)

Florida State University
Jan 2024 – Aug 2025

Graduate Research Assistant

  • Researched file systems, container optimization, and scalable parallel training for ML models.
  • Improved runtime efficiency of CNTR and integrated ExtFUSE for optimized file handling in containers.
  • Investigated parallelization to scale machine learning model training workloads efficiently.

Graduate Teaching Assistant

  • Supported teaching for Parallel & Distributed Programming course.
  • Mentored students on Flask, Python, debugging, and parallel programming techniques.
  • Helped prepare lectures and assignments to deepen understanding of system-level programming.
ServiceNow

Software Engineer

ServiceNow
Jan 2020 – Dec 2023
  • Developed user interfaces and implemented server-side logic using JavaScript, improving usability and reducing response times by 15%.
  • Designed and integrated RESTful and GraphQL APIs, enhancing frontend-backend communication and improving system observability.
  • Improved test automation coverage to 80%, cutting manual testing time by 40% and significantly reducing post-release bugs.
  • Led integrations for Slack and observability pipelines, optimizing monitoring and alert systems.
  • Collaborated cross-functionally in Agile sprints, contributing to code reviews, sprint planning, and iterative delivery of scalable features.
  • Mentored junior engineers and contributed to internal code quality and performance standards.
  • Recognized with multiple monthly awards and honored with the prestigious quarterly LAMA award for outstanding contributions.
OpenText

Engineering Intern

OpenText
Jul 2019 – Nov 2019
  • Built a web application using Angular7 with content extraction features for improved document management.
  • Developed a document classification POC that boosted categorization accuracy by 25%.

Project Highlights

A selection of systems programming and distributed computing work

Get in Touch

Feel free to reach out for collaborations or just a friendly hello