WE'RE ALL ABOUT MAKING DEEP LEARNING REAL
We're producing software and technology that everyday people will actually use to solve real-world problems.
What we develop, what we invent is not just going to be in the hands of other engineers, but it's going to be in vehicles, in phones, in cameras - it's going to generate true change!
Nick is a serial entrepreneur & accomplished CEO delivering successful outcomes for over 20 years. Recently cofounded & scaled an enterprise SaaS platform with multi-million-dollar recurring revenues & over 100 employees. Honored by McMaster University Engineering as a Top 150 Alumni.
Ehsan Saboori, Ph.D.
Ehsan is a passionate entrepreneur and technologist whose research formed the technology vision that is the core of Deeplite. A published Ph.D., he combines years of industry experience, a strong team and cutting-edge research to create lightweight intelligence.
Jeff McMullen, CPA
A financial executive with global experience as a private and public company CFO from start-up through scale and exit. Member of a team that scaled an enterprise software company from $10M to $100M + per year Combines excellent strategic, governance, financial, reporting, SaaS and M&A expertise.
Yasser is an engineer with more than 17 years of experience in Software development with expertise that spans a broad spectrum in the software world, both across research and industry, from big data analytics and databases to mobile and web development.
Before joining Deeplite, he led the engineering team of the Data Analytics group at Qatar Computing Research Institute(QCRI). Before that, he was in the industry with several startups in Canada and Egypt.
Yasser is a graduate of the Computer Science department, Faculty of Engineering, Alexandria University. His personal field interests are algorithm optimizations and complexity theory.
It all started with the rocky adventures of an undergraduate degree in physics. After taking a peek at the universe (and also at the glorious Trans-Siberian), Olivier went on to do a major in computer science followed by a master's degree in deep learning studying generative models applied in computer vision from the Montreal Institute in Learning Algorithms (MILA).
Fresh from grad school, he joined ElementAI as a Research Intern, where he spent almost a year. There, Olivier used deep learning for video generation and for meta-learning / few-shot learning. After the internship, he proceeded over to researching amazing food, bouncing between Europe, eastern central Asia and North America, until he finally returned to Montreal and joined Deeplite as Machine Learning Lead.
Olivier has always been interested in compression throughout my computer scientist's life, and wishes to pursue it deeper to uncover its deep learning flavor. Interestingly at Deeplite, the challenge takes a twist to push this fundamental piece of information theory into industrial applications.
When not confused by science, Olivier likes to discover cultures and nature. Other than that, he has a weak spot for games, postmodernism ideas, and he tries to survive in Brazilian jiu-jitsu classes.
When people ask Ahmed where is he graduated from. He often answers - 72B Almanial st. Yes, that is an address, not a school name! It is his coach's home address, where he learned algorithms, data structures and problem-solving for programming competitions such as Acm-icpc and topcoder.
Ahmed is passionate about problem-solving, especially optimization, and that's why he joined Deeplite. Before Deeplite, he worked for two years at Element AI as an applied research scientist, part of the AI core team (Computer Vision). Even earlier, he was a research associate at QCRI for two years and did his master's at the Sony technology center in Stuttgart.
Hossein Askari is a Ph.D. student at Ecole Polytechnique de Montreal. He is working with professor Jean-Pierre David on designing low precision neural network accelerators as well as new quantization methods for compressing and optimizing neural network execution.
Before Deeplite he worked as an ASIC Verification engineer at Microsemi (Now MicroChip) and as a Software Engineer at Tru Simulation + Training.
Sudhakar Sah, Ph.D.
Sudhakar has experience working in a wide range of technologies essential for Artificial Intelligence (AI) solutions like Computer Vision, Deep Learning, Machine Learning, Parallel Computing & Speed Optimization, to name a few.
In the past, Sudhakar has worked extensively on developing and deploying small models for computer vision applications for a conglomerate like Samsung in Korea to a startup like EyeEm in Berlin.
His passion for lightweight deep learning models brought him to Deeplite. Having stayed in Seoul for about a decade, he can speak Korean and has extensive experience and understanding of the Korean work culture. With a Ph.D. in computer science and an Executive MBA in General Management, Sudhakar has a keen interest in technology and the business impact of the same.
With over 5+ years of experience as a low-level software developer, Saad has been involved in some of the most exciting projects at leading hardware tech companies.
Before his time at Deeplite, Saad made significant contributions to improving AI processors’ runtime performance as a senior compiler developer at Huawei. He also worked at AMD as an embedded developer across the multimedia and platform security domains, enabling key customers, including Google Stadia and Microsoft Project xCloud in their cloud gaming initiatives.
Saad holds a Bachelor’s and a Master’s degree in Computer Engineering from the University of Toronto. When he’s not occupied with compiler and runtime optimizations for machine learning workloads, Saad enjoys photography, traveling and sports, including tennis and soccer.
Anne Mezei is a human-centric talent leader. Her expertise spans across companies in various stages, from high-growth startups to global mature organizations in a variety of industries. She is currently Chief People Officer at Deeplite and a Member of the Medicom Board of directors. Previously she was Vice President Talent for Element AI, a growing company that expanded internationally and before then, she was the Vice President, Human Resources at CAE Inc for the Global Engineering, Technology, Innovation and Operations, and Defense & Security groups.
Throughout her career, Anne championed diversity and acted as a connector by enabling people to work together at scale. She successfully led HR through mergers and acquisitions, change management and organizational development in North America, Europe and Asia. She structures programs and organizations to adapt to current business and societal environments.
Anne distinguishes herself by her bold and creative approach. She introduced custom programs and technology to companies and has helped position HR as a strategic function at Cogeco Cable, St-Hubert Group, Autodesk Inc., Aldo, Bell Canada, Wyeth-Ayerst and Domtar. Anne holds a Bachelor's degree in Industrial Relations from McGill University. She is a member of the Order of Certified Human Resources Advisors.
Anne is actively involved with the community and organizations in the field of health, women and education. She is currently a member of the Advisory Board of McGill's Faculty of Continuing Education. She has served as Chair of the Board of the Women's Y Foundation and also has been a member of IMF (International Woman Forum), Anne has also dedicated time to fundraising for cancer.
Jason is an extremely lucky sales professional. He is a curious individual with a lifelong passion for learning new things. Every day revolves around his interests - he gets to talk to unique individuals, learn about their successful companies, and discuss their goals with implementing advanced deep learning technologies.
If he’s called, emailed or inmailed you several times, it’s most likely because he’s found a creative way to help you. He means you well!
Honnesh Rohmetra, Deep Learning Engineer
Honnesh recently completed a double major concurrently completing his Bachelor of Engineering, Honours Computer Science and Master of Science, Honours Chemistry at Birla Institute of Technology and Science in Pilani, India.
Before Deeplite, he worked as a Research Intern in Intel Labs on Deep Learning for the Computer Graphics pipeline, where he filed a provisional patent. In his university, he was a part of the student Autonomous Vehicle Research team and worked on Computer Vision tasks such as Object Detection, Semantic Segmentation, Scene Flow Estimation and Image Deraining, publishing a couple of papers.
Honnesh is passionate about bringing AI from research labs to everyday life and hence is currently on a mission to enable large neural networks to run on small machines with fast inference. Apart from neural networks, he loves hiking through the mountains and is curious about how things work, so he is also a DIY enthusiast!
Saptarshi Mitra, Deep Learning Engineer
Saptarshi has recently completed working on his Master of Science in Communication Engineering with a focus on hardware acceleration for inference at the Technical University of Munich. Previously an intern at Deeplite, he is now a full time engineer.
Besides spending time in front of a screen or tweaking hardware, Saptarshi is fond of hiking, biking and does occasional landscape photography. Having "well trained" taste buds he is picking up with culinary skills.
Marjorie Desriac - Talent Lead
Darshan Ganji - Deep Learning Engineer
Darshan is from Bangalore, India. He got his Bachelor's degree in Electronics and Communication from Acharya Institute of Technology, India. He has two years of experience working in Edge AI and Deep learning Hardware. His previous work includes designing Hardware Accelerators for CNNs on FPGA, Edge Deployment of Deep learning models on GPUs, FPGAs and Microcontrollers, supporting various DL framework parsers for Compiler. His passion lies in Accelerating Deep Learning Computing. He loves playing chess, watching cricket and football, meditate and listening to EDM music.
Naga Thodupunoori - Senior DevOps Engineer
Naga is from Warangal, India. He has a Bachelor's degree from MREC, India, and started his career as DevOps Engineer, where he was trained on cloud concepts, automation, and scripting. Naga is very flexible with the DevOps concepts which helps him build his professional career as DevOps Engineer.
As a DevOps Engineer, Naga has expertise in skills according to the company’s needs and understand the concepts of SDLC and various tools for developing CI/CD pipelines. He collaborates with other teams to oversee the code releases and update the products by launching.
Naga is very interested in Culinary art and Backpacking in new countries with Music!
Alexander Hoffman - Deep Learning Engineer
Hailing from the Pacific Northwest of the USA, Alex studied electrical engineering at the University of Washington. After designing and building Mars rovers with the school’s robotics team, he decided to transition to the AI world with a Master’s degree at McGill University. He joined Deeplite after completing his thesis on automatic compression methods for Transformer models. A curious engineer at heart, he enjoys the exciting research and challenging software development problems at Deeplite.
Outside of work Alex enjoys long runs in the woods, climbing sessions at Allez Up, and sunny days on the ski slopes.
Shahrukh Khan - Deep Learning Engineer
Shahrukh received a Bachelor’s degree in Electronics and Instrumentation Engineering, and is currently pursuing an online Master’s Degree in Computer Science(Machine Learning) from Georgia University. He has 4+ years of experience working on Computer vision & Deep Learning with a variety of applications such as medical imaging, vision based analytics, and perception part of Autonomous Driving system. At the moment, he is working on researching and development of light-weight neural networks. Shahrukh enjoys learning more about mathematics, machine learning and coding to solve challenging problems.
Ivan Lazarevich - Deep Learning Engineer
Ivan holds a PhD from École normale supérieure in Paris, where his work focused on using machine learning for the diagnosis of early-stage neurodegenerative diseases. Prior to joining Deeplite, Ivan has worked as a deep learning engineer at Intel in the OpenVINO team and as a software engineer in the field of computational physics.
Daniil Troshkov - AI Compiler Engineer
Working as AI Compiler Engineer with 10+ years of experience in C/C++ compiler development and having a background in applied mathematics Daniil uses his qualifications to solve challenging technical problems. His record of development of software products includes the implementation of the LLVM based C/C++ compiler for Computer Vision and Machine Learning tasks. He also developed a binary compiler for the Soft Machines original CPU. The company was later bought by Intel. Now, Daniil is working as AI Compiler Engineer for Deeplite, with a main task to optimize neural networks from compiler perspectives. Throughout his career Daniil has been mastering the methodology, tools, and skills for the development of reliable, efficient, customized cross-platform toolchains for a wide range of applications. He is passionate about adapting new technologies and trends and eager to solve technically challenging tasks to contribute to higher standards of the IT industry.
Armen got his Masters degree in Computer Science from the University of Waterloo. He
enjoys solving computer vision problems that make use of Deep Learning. Armen is
very keen on the topic of AI for edge devices, and is excited to be working on the
promising product that Deeplite develops.
Ravish is very fond of the technology of deep-learning and artificial intelligence, and that’s
why he loves to teach these tech-stacks as a personal hobby. He wants to see AI, IoT, and
Blockchain combined in a single domain as a secret desire.
Matteo received a Ph.D. in Computer Engineering from Politecnico di Torino in 2021, exploring novel compression techniques to deploy deep neural networks on resource-constrained devices. He is truly passionate about the design of efficient AI applications to concretely improve people’s lives. For this reason, he joined Deeplite to tackle the compelling edge AI challenge. Sport is his primary way to spend his free time: football and trail running are his favorite activities.
Janaki received his master’s from the University of Hyderabad. He has worked as a deep learning compiler engineer and expertise in developing a compiler stack for custom AI accelerators, including optimizing compilation phases to improve performance and reduce memory footprint.
He excited to work with Deeplite to resolve the challenges in transforming AI solutions from research to production and contribute to making edge devices more smart and energy-efficient.