Vikram Sidhu

Led a 50-person cross-functional lab QA/validation team for AI/ML server and SDN testing, implemented RCA/PQA processes and improved test coverage across hardware and software, triaging defects in JIRA and reporting to executives.

Validated BIOS/Linux kiosks, web services and mobile apps on AWS, led Generative AI/LLM testing and cross-platform compatibility efforts including ADA/WCAG compliance and CI/CD-driven automation.

Led embedded SDET, QA and UAT teams for Layer 2/3 CDN and provisioning systems, defined test strategy for releases and improved automation frameworks for API and Linux server applications.

Managed a global team of 18 QA professionals for embedded retail systems and self-checkout automation, integrated third-party payment gateways and implemented Tosca and Snowflake-based test automation.

Led mobile QA for Generative AI ad experiences on iOS/Android, managed device labs and conducted kernel-level, regression and performance testing for smart DAI and streaming platforms.

Mentored 14 QA analysts on ADMS/OMS projects, led testing of embedded Linux RTOS power-grid devices on SCADA architecture and automated field test scenarios with UiPath and TestComplete.

Defined testing roadmap for DOCSIS CPE, STBs and OTT platforms, led DAI compliance and cross-platform streaming tests using DASH/HLS, CI/CD and network traffic analysis tools.

Led a 10-person QA team validating DOCSIS lab equipment and Wi‑Fi systems, automated provisioning and billing tasks with Linux scripts and triaged defects in JIRA within Agile processes.

Tested embedded Linux RTOS systems for power-grid devices using DNP3 and NIST practices, configured test servers for Schneider ADMS/Electra OMS and used Splunk and Wireshark for logging and triage.

Led 16 QA professionals for TCP/IP infrastructure migration to VNF/KVM environments, oversaw SD‑VLAN/SD‑WLAN testing and used IXIA, Wireshark and Splunk for performance and latency validation.

Managed a 12-person QA team for embedded CPE validation, oversaw DOCSIS/FiOS/Wi‑Fi testing and collaborated on automation to transition CDN services to VNF/cloud environments.

Tested Deep UV/EUV lithography embedded Linux/Unix robotic systems, automated robotics subsystems with Python and AI scripts and performed unit, load, and system-level validations.

Led embedded systems QA efforts for inspection technologies, developing test plans and executing validation across hardware and software components in lab environments.

Performed QA for networking products, executing functional and integration tests on Cisco systems and contributing to test automation and validation workflows.

Executed QA activities for Comcast projects including test case execution, log capture and analysis, and cross-platform validation for embedded and web applications.

Conducted functional and regression testing for enterprise software, authored test cases and collaborated with development teams on defect resolution.

Validated embedded CPE infrastructure, executed compatibility and performance tests across network interfaces and assisted in lab deployments and troubleshooting.

Completed a Fundamentals of Python Programming course at Austin Community College in 2023, focusing on core Python syntax and scripting for automation.

Earned a Bachelor of Computer Science from Utkal University, completing undergraduate studies in computer science between 1998 and 2002.