# Rishabh Bassi > AI Software Engineer @ Apple | Former Intern @ LinkedIn & AMD | MS CS - TAMU | Ex-Senior Engineer @ SanDisk(WD) | Research @ML Location: San Francisco Bay Area, United States Profile: https://flows.cv/rishabhbassi As a seasoned expert bridging sophisticated AI research and the development of enterprise-scale software, I have a demonstrated history of working in the Tech industry and architect and scale multi-agentic platforms that transform how organizations interact with data. Currently, as a Technical Lead for Enterprise AI at Apple, I spearhead the creation of innovative AI solutions. By orchestrating complex workflows across both structured and unstructured sources, I drive operational efficiency and innovation at the intersection of Generative AI and enterprise software, specializing in bridging the gap between sophisticated machine learning research and high-performance, production-ready systems. My experience includes work at AMD driving GPU Firmware development for advanced LLM Models and at LinkedIn where I designed and implemented a real-time audit framework across multiple data centers. In past I have worked as Senior Engineer at Western Digital where I was responsible for driving FW modules development from design to development and integration to testing. I have equal exposure in various Innovative Forums such as Innovation Bazaar and Hackathons. Coming to Academics, I I hold a Master's degree in Computer Science from Texas A&M University, graduating with a 4.0 GPA. My technical skillset is extensive, with prominent expertise in Python, C++, Rust, Generative AI/LLMs, and System Design. I pursued Bachelor's in Computer Science with Honors in Machine Learning and Data Analysis from the Thapar Institute of Engineering and Technology. I had been pursuing the Natural Language Processing and Deep Learning domain and published research publications in the fields of Semantic Segmentation and Natural Language Processing (NLP), reflecting my deep engagement with cutting-edge AI. From the outset of my academic career, being an engineer has been a fulfilling experience. Creating and innovating stuff is something I'm enthusiastic about. Applying my talents to successfully implement solutions to the challenging problems at hand has been incredibly rewarding and inspirational. My portfolio can be found at https://bassirishabh.netlify.app/ Feel free to contact me at bassirishabh@gmail.com if you have a suitable opportunity/role for me. ## Work Experience ### Software AI/ML Engineer @ Apple Jan 2024 – Present | Sunnyvale, California, United States Spearheading the development of advanced machine learning solutions to meet business team requirements. Enhanced sentiment analysis and natural language processing models, driving intelligent data insights and improved decision-making processes. ### Software Intern @ AMD Jan 2024 – Jan 2024 | Austin, Texas, United States As part of Research and Development Team at AMD, I developed high-performance software (HPC) & hardware leveraging expertise in Python, deep learning, GPUs, resulting in impactful innovations influencing different machine learning benchmarks and future product roadmaps. Actively contributed to the Advancements in GPU technology for distributed ML heavy benchmarks by doing performance modeling of LLM models & optimizing software design to eliminate bottlenecks in GPU communication. ### Graduate Teaching Assistant @ Texas A&M University Jan 2023 – Jan 2023 | College Station, Texas, United States Working as a Graduate Teaching Assistant in Computer Science Department for the course CSE 121: Program Design and Concepts. Involved in Teaching, Lab Supervision, Automation and Grading. ### Software Engineer Intern @ LinkedIn Jan 2023 – Jan 2023 | United States Working as a Summer Intern at LinkedIn where I am handling Real Time Automation with SQL Database to solve Conflict Resolutions. For the most part, the MySQL team does not have any awareness of several incidents of data divergence due to bugs unless reported by our users. Hence designing a automation framework to detect and report such discrepancies. ### Graduate Research Assistant @ Texas A&M University Jan 2022 – Jan 2023 | College Station, Texas, United States Investigating bottlenecks in Data Processing of Synthetic Aperture Radar for Satellites and Optimizing code to fast-track enormous matrix computations using algorithms and parallel computing. ### Senior Engineer @ Sandisk Jan 2021 – Jan 2022 | Bangalore Urban Led a cross-functional team of engineers in developing XOR firmware for next-generation BICS6 SSDs, managing the end-to-end delivery of data protection and XRAM memory mapping features. Optimized flagship firmware performance by 25% through deep-dive bottleneck analysis and strategic code refactoring. Mentored junior engineers in building an automated hardware verification framework, ensuring seamless register validation across all firmware releases. ### Research Assistant @ University of Illinois Urbana-Champaign Jan 2021 – Jan 2021 Applications of NLP to create Intelligent Network Systems. ### Firmware Engineer @ Western Digital Jan 2019 – Jan 2021 | Bengaluru, Karnataka, India 1. Designed Robust Firmware for Error Handling of XOR to better handle defective NAND Memories. 2. Planned Remodelling of Verification Framework for HW Registers in Firmware itself to avoid redundancies in Validation cycles. 3. Revised Performance Gaps in Existing SSD FW to meet Blue Category Performance Numbers. Deployed Code with 25% increase in Write-Read CDM Benchmark. ### Software Engineer Intern @ Western Digital Jan 2019 – Jan 2019 | Bengaluru, Karnataka, India Diagnostic Framework : Enhanced Capability of Framework by adding new diagnostic Paths for SSD Firmware as it gives bypass to actual Firmware and helps in crucial stages of Product Development. ### Research Fellow @ Thapar Institute of Engineering and Technology Jan 2017 – Jan 2018 | Patiala, Punjab, India I researched on Latest Machine Learning and Natural Language Processing Techniques to come up with a better solution for Tagging of Questions , for example Doing autonomous tagging of Stack overflow or Quora Database questions using NLP Techniques. ### Intern @ Western Digital Jan 2018 – Jan 2018 | Bengaluru Area, India As a Intern, I was Involved in Development of PCT Framework which provides easy customisation ultimately leading to a faster debug for SSD Issues. ## Education ### Master of Science - MS in Computer Science Texas A&M University Jan 2022 – Jan 2024 ### Computer Science in Honors in Machine Learning and Data Analysis Thapar Institute of Engineering & Technology Jan 2015 – Jan 2019 ### High School D.A.V College,Hoshiarpur Jan 2013 – Jan 2015 ### Senior School Saint Joseph's Convent School ## Contact & Social - LinkedIn: https://linkedin.com/in/rishabh-bassi - Website: https://bassirishabh.netlify.app --- Source: https://flows.cv/rishabhbassi JSON Resume: https://flows.cv/rishabhbassi/resume.json Last updated: 2026-03-22