Vikash Kumar Shaw

About Vikash Kumar Shaw

I am a passionate and results-driven Software Quality Engineer with over 8 years of experience in automation, validation, and testing of complex systems across industries, including telecom, networking, cloud, and AI/ML applications. I hold a Master of Science in Computer Science (GPA 4.0) from Rutgers University, specializing in Artificial Intelligence and Machine Learning.Currently at Red Hat, I contribute to advancing open-source AI through projects like RHEL AI and InstructLab, where I focus on testing and validating containerized AI workloads, GPU acceleration, and CI/CD integration across hybrid cloud platforms. I collaborate with engineering teams to ensure performance, reliability, and security of AI solutions on RHEL, leveraging cloud services like AWS, GCP, IBM Cloud, and Azure, and accelerators like NVIDIA CUDA and AMD ROCm.Previously at Nokia, I was a core part of the team delivering the first GA release of SONiC OS on proprietary switching hardware. I led the test design and execution for SONiC-based routers and chassis, developed automation frameworks, and partnered with global teams to validate key networking features with a focus on reliability and scalability.Before that, I worked at Ericsson as a Senior Verification Engineer, where I delivered end-to-end testing for complex telecom systems, driving automation initiatives, root cause analysis, and stakeholder engagement across embedded and cloud-native architectures.I also developed automation tools and frontend testing frameworks at Rutgers University, building REST API test suites using Python, Pytest, and Selenium, and improving operational efficiency through reusable automation libraries.My technical stack includes Python, Java, C++, PyTorch, Kubernetes, Docker, TestNG, RHEL, RHOSP, GCP, AWS, Azure, and OpenShift. I combine hands-on testing expertise, stakeholder collaboration, and cloud-native engineering to deliver high-quality, scalable software systems.I’m always eager to explore the latest trends in AI, open-source, and testing frameworks—whether it’s building robust automation pipelines or benchmarking LLMs. Let’s connect if you’re working at the intersection of AI, quality engineering, and cloud.

Experience

1. Senior Software Quality Assurance Engineer

   Red Hat

   Apr 2025 — Present · Boston, MA, US

   Work on Red Hat Enterprise Linux AI stack and Red Hat Inference Server (RHAIIS)* Test model serving and deployment tools on cloud platforms: AWS, GCP, Azure, IBM Cloud* Use various GPU accelerators: NVIDIA (CUDA), AMD (ROCm), Intel GPUs* Work with hardware like A100, H100, MI250, MI300, and others* Run and test LLMs, Transformers, and custom AI models on RHAIIS* Use container technologies: Podman, OpenShift, Kubernetes* LLM Prompt verfication* Validate GPU support, model loading, batch processing, and multi-GPU scalability* Test REST API endpoints for model inference functionality

Education

• SRM IST Chennai

  Bachelor of Technology (B.Tech.), Computer Science

  2012 — 2016

• St Thomas Church School

  Schooling, High School/Secondary Certificate Programs

  2000 — 2012

• Infosys

  Tibco, Business works

  2016 — 2016

• Rutgers University

  Master of Science - MS, Computer Science

Skills

• Business Project Management
• C
• Programming
• Html
• Management
• Software Engineering
• Networking
• Bpm
• Microsoft Word
• Team Leadership
• Project Management
• Web Services
• Mysql
• Windows
• Research
• Eclipse
• Microsoft Office
• Sql
• Tibco Businessworks
• Linux
• Tibco Iprocess
• Xml
• Visual Basic
• Databases
• T
• Java
• Coding Languages
• Php
• Data Structures
• Css
• Operating Systems
• C++ Language
• Core Java
• Testing
• Photoshop
• Public Speaking
• Javascript
• Web Development
• C++
• Algorithms