Hello! I am Mohammad Moridi, a Software Engineer at Microsoft in the AI Frameworks team, based in Vancouver, Canada. I specialize in cloud-based fault-tolerant systems, with expertise in C++ programming, multi-core environments, and working with CPU, GPU, and NPU architectures. In my role, I focus on designing and developing AI software in C/C++ and Python, collaborating across hardware and ML teams to optimize AI models for large-scale training and inference on Microsoft AI accelerators.
I hold a MASc degree in Computer Software from the University of Waterloo, where I specialized in persistent memory platforms. Previously, at Huawei, I led database engine optimization initiatives and developed NPU-level operators for LoRA serving on vLLM. I am passionate about contributing to AI innovation and high standards of engineering within an inclusive, collaborative culture.
Nov 2024 - Present | Microsoft | Vancouver, Canada
AI Frameworks: Developing and optimizing software for large-scale AI model training and inference on the Microsoft AI accelerators using C/C++ and Python.
Collaboration: Working closely with cross-functional teams, including hardware and ML, to create efficient AI solutions across diverse platforms.
Sep 2023 - Nov 2024 | Huawei Technologies Canada Co., Ltd. | Vancouver, Canada
AI/ML: Designed and implemented customized kernels for Ascend-NPU to optimize LLM inference on vLLM.
Database: Contributed to research initiatives and early-stage engineering of an in-memory OLAP engine for cloud services.
Sep 2021 - Sep 2023 | University of Waterloo | Waterloo, Canada
Research experience on shared memory algorithms.
Designed and implemented snapshotting mechanisms for persistent memory-mapped files and detectable objects for persistent memory.
Jan 2022 - Apr 2023 | University of Waterloo | Waterloo, Canada
Helped in holding courses in Algorithm Design, Database Systems, Systems Programming, and Data Abstraction.
May 2022 - Aug 2022 | Huawei Technologies Canada Co., Ltd. | Waterloo, Canada
Worked on a collaborative project called Towards a High-velocity Permissioned Blockchain.
Oct 2018 - Jul 2021 | University of Tehran | Tehran, Iran
Assisted in more than 15 courses such as Advanced Programming and Operating Systems.
Oct 2019 - Feb 2021 | University of Tehran Science & Technology Park | Tehran, Iran
Analyzed social network behavior in the Ethereum network using graph analysis.
Jul 2019 - Sep 2019 | University of Tehran Science & Technology Park | Tehran, Iran
Participated in several Kaggle competitions and developed solutions using Scikit-Learn.
Sep 2021 - Sep 2023 | University of Waterloo | Waterloo, Canada
Grade: 94 / 100. Thesis on snapshotting mechanisms for persistent memory-mapped files. View Thesis
Sep 2016 - Jul 2021 | University of Tehran | Tehran, Iran
Grade: 90 / 100. Thesis on social network analysis within the Ethereum ecosystem.
Published in ApPLIED@PODC 2024. DOI: 10.1145/3663338.3665832
Investigates ways to enhance the reliability of persistent memory systems, focusing on snapshotting mechanisms and their role in system resilience. Introduces new snapshotting consistency models and mechanisms to improve performance and enhance system responsiveness. Provides experimental analysis demonstrating throughput and latency improvements.
Published in ApPLIED@PODC 2022. DOI: 10.1145/3524053.3542749
Explores the adaptation of multi-core algorithms to persistent memory, introducing the "Unified Detectable Sequential Specification" (UDSS), which simplifies interfaces and coding. Experiments conducted using Intel Optane memory demonstrate the performance implications of the implementation.
Issued by University of Waterloo in Oct 2021
Issued by IEEE University of Tehran Student Branch in Jan 2020
Issued by IEEE University of Tehran Student Branch in Jan 2020
Issued by University of Tehran in Apr 2019
Issued by Huawei Technologies Canada in Oct 2024.
Was awarded the Best Team Award for outstanding contributions to LLM serving performance, by the President of the Canadian Research Center.
Issued by ETHGlobal in Jun 2023.
Project: Smarter Contract. View Project
Issued by Hyperlane in Jun 2023.
Project: Smarter Contract.
Issued by Waterloo Blockchain in May 2023.
Project: Glue. View Project
Issued by University of Waterloo in Sep 2021.
Machine Learning Engineer | Software Engineer | PhD
Mohammad and I crossed paths when we both arrived in Waterloo and from our first interaction, I knew he was a special individual. His warm and engaging personality immediately puts everyone at ease, creating an atmosphere of camaraderie and genuine connection.
One aspect that continuously leaves me in awe is Mohammad's passion and expertise in the field of research. His deep understanding of complex problems and ability to articulate insightful ideas truly set him apart. Our discussions on various research topics have been nothing short of intellectually stimulating, and I am constantly impressed by the depth of his knowledge.
In conclusion, I am confident that Mohammad's contributions will prove invaluable to any team fortunate enough to have him. If you need any additional information or have any questions about Mohammad's qualifications, please do not hesitate to reach out.
Web 3 Researcher | PhD Candidate in Blockchain @UWaterloo
In today's fast-paced technology landscape, it's a rare privilege to work with professionals who excel not only in their core domain but also display an unparalleled passion for learning and innovation. Mohammad is one such gem.
Mohammad really knows his stuff when it comes to Persistent Memory. He doesn't just skim the surface; he gets deep into the details and always makes sure he's following the best guidelines. He has a knack for making complicated things about Persistent Memory clear and easy to understand. On top of that, his skills in C++ are amazing. Many of us, myself included, have learned a lot from him and appreciate how he makes tough topics simpler.
Outside of these areas, Mohammad’s enthusiasm for blockchain technology sets him apart. Participating in multiple hackathons, he hasn’t just showcased his skills, but he's clinched victories. These achievements aren’t just a testament to his individual prowess, but they also speak volumes about his ability to collaborate, innovate, and lead teams towards a common goal.
In conclusion, having the pleasure to work alongside Mohammad has been one of the most enriching experiences of my professional journey. His blend of expertise, enthusiasm, and empathy makes him an invaluable asset to any team. I genuinely look forward to witnessing the continued trajectory of his success and breakthroughs in the future. Mohammad's potential knows no bounds, and his future is luminous.
Location
Vancouver, British Columbia, Canada