Shreyas Prabhakar - Software Engineer and SysOps Specialist

SHREYAS PRABHAKAR

San Francisco Bay Area, CA

*****************@*****.*** 806-***-**** linkedin.com/in/shreyasprabhakar github.com/shrprabh leetcode.com/u/pshreyasgowda1997 Education

Texas Tech University Aug. 2023 – May. 2025

Master’s in Computer and Information Sciences, CGPA - 3.75 Lubbock, Texas Technical Skills

Languages: React JS, Node.js, Python, C#, Angular, TypeScript, HTML, CSS, C++, Rust, R. Databases: SQL, MySQL, PostgreSQL, MongoDB

Frameworks & Libraries: Angular, React.js, Entity Framework Core, ASP.NET, Node.js, Express.js, Fast API, Django Cloud & Developer Tools: GitHub Actions, Docker, Git, Postman, Kubernetes, ArgoCD, Jenkins, Terraform Certifications: AI for Science on Supercomputers (Advanced badge),AWS Certified Solutions Architect – Associate,AWS Certified AI Practitioner (AIF-C01), Azure Fundamentals AZ-900 Experience

Lawrence Berkeley National Laboratory (LBNL) May. 2024 – Dec. 2025 Computer Systems Engineer Berkeley, California

• Built and released a Perlmutter performance-profiling Python toolkit that maps Slurm job ID/s workflows to 150+ per-GPU/per-node metrics (e.g., GPU utilization, memory) with interactive dashboards for fast bottleneck diagnosis.

• Coordinated with scientists to build a GitHub Actions CI/CD pipeline that builds, tests, and deploys 5 containerized microservices on Perlmutter, ensuring reliable inter-service communication and repeatable releases.

• Performed MFA rollout + secure password-reset hardening (schema updates) to reduce account-takeover risk, resulting in 100% MFA coverage for privileged accounts and 0 password-reset related incidents post-release. Texas Tech University Health Sciences Center Apr. 2024 – Sep. 2024 Software Development Intern Lubbock, Texas

• Collaborated on a feature update for the Customer Project Management app using SignalR, EF Core, jQuery, and SQL to enable 500+ employees to track hours and manage leave workflows; implemented real-time WebSocket notifications with comment-enabled reviews.

Terrologic Oct. 2021 – Aug. 2023

Software Engineer II Bengaluru, India

• Developed a real-time telecom web app for Fujitsu using Angular, Leaflet.js, Highcharts, and Cytoscape to manage 50+ global data centers via interactive topology visualization; designed an AES encryption mechanism across 5+ applications, earning Star Performer and ensuring full knowledge transfer. Infosys Jan. 2020 – Oct. 2021

System Engineer Bengaluru, India

• Built a targeted job-rotation portal within 14 days and demoed it to secure client approval, which drove project acquisition. Investigated the Microsoft Dynamics 365 application via support tickets and restored a customized client app, achieving 100% projected client satisfaction through timely bug resolution. Relevant Independent Projects

Credence Learning Platform – Founder Python, TypeScript, React, Solana, Blockchain May. 2025 – Present

• Built a full-stack learning platform (React/TypeScript + Python) to deliver an NLP quiz engine with clear API contracts and on-chain credentialing, resulting in 15 users completing 200+ quizzes, 10 soulbound credentials minted, 100% automated issuance, and quiz-generation latency ranging from 0.3 ms to 60 s depending on video content. Brain Tumor Segmentation – ML Engineer Python, TensorFlow, NumPy, Pandas, Neural Networks Aug. 2024 – Dec. 2024

• Led a team of 4 to reproduce DUCK-Net on the BraTS2020 MRI dataset and engineer a UNet+DUCK-Net hybrid

(simplified by removing residual blocks); trained/evaluated on NVIDIA A100, achieving Dice 88.72% (+41.69 pts vs baseline) and reducing validation loss from 0.0267 to 0.0101 (2.6x lower); resulted in a PhD offer. Awards & Achievements

• Presented research posters on BilboMD (2024) and LDMS (2025) at the National Energy Research Scientific Computing Center (NERSC).

• Awarded Terrologic Star Performer (2023) for designing a cross-application AES encryption solution and ensuring 100% knowledge transfer.

• Achieved top academic ranks – 3

rd

in 6

th

semester, 3

rd

in 7

th

semester, 4

th

in 8

th

semester; placed 2

nd

out of 350 trainees in

Infosys’ 2020 system engineer apprenticeship.

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