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!

Deeplite Team

Nick Romano
Nick Romano
Co-Founder, CEO
Ehsan Saboori
Ehsan Saboori, Ph.D.
Co-Founder, CTO
Jeff McMullen
Jeff McMullen, CPA
Chief Financial Officer
Hossein Askari-150px
Hossein Askari, Ph.D.
AI Research Scientist
Sudhakar Sah-1-1
Sudhakar Sah, Ph.D.
VP of Engineering
Saad Ashfaq
Saad Ashfaq
AI Compiler Engineer
Anne Mezei
Anne Mezei
Chief People Officer
Honnesh Rohmetra
Honnesh Rohmetra
Deep Learning Engineer
Saptarshi Mitra
Saptarshi Mitra
AI Embedded Engineer
Marjorie Desriac
Marjorie Desriac
Talent Lead
Darshan
Darshan Ganji
AI Inference & Compiler Engineer
Naga
Naga Thodupunoori
Senior DevOps Engineer
Alex Hoffman
Alexander Hoffman
Deep Learning Engineer
Shahrukh Khan
Shahrukh Khan
Deep Learning Engineer
Ivan
Ivan Lazarevich
Deep Learning Engineer - Lead
Ravish Kumar 150
Ravish Kumar
Deep Learning Engineer
Matteo Grimaldi
Matteo Grimaldi
AI Research Scientist
Janaki Ram Reddy
Janaki Ram Reddy
AI Inference & Compiler Engineer
×
Nick Romano

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.

×
Hossein Askari

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.

×
Saad Ashfaq

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

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.

×
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.

×

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.