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.
Davis is a Canadian tech entrepreneur with interdisciplinary startup & AI industry experience. Recognized as a C2 Montreal Emerging Entrepreneur and a Fundica Roadshow Finalist in 2018, he drives product direction & commercialization strategy.
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.
Charles Marsh is a seasoned business leader with extensive experience in accelerating market growth for technology companies, both regionally and globally. Charles has enjoyed great success at start-up companies in Montreal, with two successful exits at OZ Communications Inc. and Mnubo Inc. Charles holds a B.A. (Hons.) in Business Decision Analysis from the University of the West of England, Bristol, UK and as a passionate sportsman, coaches junior rugby, while also holding a position on the Board of Directors for Westmount Rugby Club.
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.
Anastasia has two Master's degrees, majoring in Art History and Art Criticism & Management. Before switching to tech, Anastasia led marketing efforts for various art projects and festivals.
Nowadays, Anastasia specializes in customer acquisition, engagement, and content marketing for technology companies. She loves what she does and makes sure she is always up-to-date with the latest MarTech trends.
In her free time, Anastasia coaches early-stage startups to help them find the best recipe for their marketing growth.
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), I 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, I joined ElementAI as a Research Intern, where I spent almost a year. There I used deep learning for video generation and for meta-learning / few-shot learning. After the internship, I proceeded over to researching amazing food. I bounced between Europe, eastern central Asia and North America. Until I finally returned to Montreal and joined Deeplite as Machine Learning Lead.
I have always been interested in compression throughout my computer scientist's life, and I wish 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, I like to discover cultures and nature. Other than that, I have a weak spot for games, postmodernism ideas, and I try to survive in Brazilian jiu-jitsu classes.
Anush Sankaran, Ph.D.
Anush Sankaran is currently working as a Senior Research Scientist with Deeplite, Canada. Prior to this, he worked as an Advisory Researcher with IBM Research AI. His research expertise lies in the applications of machine learning and deep learning to computer vision. Anush is extremely passionate about the democratization of deep learning and works on various usable solutions in bringing deep learning to the hands of all consumers.
Anush has co-authored more than 10 journal papers, more than 30 top-tier conference publications, and 6 provisional patents. Anush has received the best poster paper awards at IEEE BTAS 2013 and IEEE IJCB 2014. Anush is also a reviewer for NeurIPS, CVPR, IJCAI, AAAI, IEEE-TPAMI, IEEE-TIFS, and many other conferences and journals. He obtained his Ph.D. in 2017, exploring the different unsupervised feature learning algorithms for matching fingerprint variants.
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!
Werner Chao, Deep Learning Engineer
Before Deeplite, Werner was a Data Scientist in the Digital Factory of the Bank of Nova Scotia building and deploying real-world end-to-end ML models.
Werner has his Master of Applied Science, Engineering from the University of Toronto.
Hoda Kheradfallah, Deep Learning Intern
An electrical engineering graduate from the Sharif University of Technology in Tehran, Iran, Hoda is currently working on her Master's in the Vision Science department at the University of Waterloo.
Martin Ferianc, Deep Learning Intern
Martin is pursuing his Ph.D. in Machine Learning, Bayesian neural networks and AutoML at University College London.
Saptarshi Mitra, Deep Learning Intern
Saptarshi is currently working on his Master of Science in Communication Engineering with a focus on hardware acceleration for inference at the Technical University of Munich.