Sakshi Gupta
About Sakshi Gupta
Sakshi Gupta is a Member of Technical Staff in Systems Engineering at Rambus, with a background in Electrical, Electronics, and Communications Engineering. She has experience in software design and project management, having previously worked at Tektronix and Spookfish Innovations.
Current Role at Rambus
Sakshi Gupta currently serves as a Member of Technical Staff in Systems Engineering at Rambus. She has been in this position since 2024, working in Bengaluru, Karnataka, India. In her role, she applies her expertise in systems engineering to contribute to various projects and initiatives within the company.
Previous Experience at Tektronix
Prior to her current role, Sakshi Gupta worked at Tektronix in multiple capacities. She served as a Software Design Engineer II from 2021 to 2023, where she was involved in leading the end-to-end project lifecycle, collaborating with marketing teams for feature requirements, design, and implementation. She also held the position of Scrum Master for two months in 2021 and worked as a Software Design Engineer I from 2020 to 2021. Her experience at Tektronix included conducting customer demos and documenting methodologies for clarity.
Experience at Spookfish Innovations
In 2020, Sakshi Gupta worked as a Computer Vision Engineer at Spookfish Innovations for one month. This role contributed to her foundational experience in engineering and technology, enhancing her skills in computer vision applications.
Education and Academic Background
Sakshi Gupta earned her Bachelor of Engineering (BE) in Electrical, Electronics, and Communications Engineering from PES University, where she studied from 2016 to 2020. She also attended GrowthX®, furthering her knowledge and skills in technology and engineering. Her early education was completed at St. Mary's Convent High School in Kanpur.
Technical Expertise and Achievements
Sakshi Gupta possesses expertise in PCIe, USB, and High-Speed Serial Communication. She engineered a patent-pending method for PCIe Gen6 receiver calibration, which significantly reduced processing time from 10 hours to 15 minutes while maintaining an error rate of less than 5%. Her proficiency extends to documenting key data and methodologies, ensuring clarity and replicability in her work.