Team

Aye manages the software engineering team, and leads the design and architecture of software that runs on edge devices.  Aye has been with Invision AI since its inception.  He is a software engineer with over 15 years of experience in software architecture, design, and development.  Throughout his career, Aye has worked in challenging fields including IoT, smart home, medical diagnostics, ultra-high speed digital press, and telecommunications.  He is a graduate of Ryerson University and is a licensed professional engineer (P.Eng). Aye tries to stay active through hiking and biking. He also plays guitar, drums, and has admitted to playing the occasional round of golf.

Zhijie is responsible for exploiting and designing new algorithms to solve challenging problems in computer vision.  Zhijie joined Invision in May of 2018.  Prior to that, he has spent more than 10 years working on many projects using a variety of imaging sensors. Zhijie graduated from University of Alberta with a PhD in Computer Science.  As a researcher he has published more than 20 peer reviewed journals/conference papers and has been a reviewer for more than 10 journals/conferences.  Zhijie enjoys life with his wife and two daughters.

Jessica herds cats with gentle but persistent efficiency: scrum master to our agile development teams and remover of obstacles.  Jessica earned a PhD in Medical Biophysics from the University of Western Ontario where she developed and validated a 3D head ultrasound system including hardware and software.  Her thesis is on the ability of the system to detect whether a brain bleed in extremely premature neonates would require surgical intervention.  While Jessica thoroughly enjoyed working with large clinical and academic teams, she felt her time was best spent in the faster pace startup space. Previously she worked in two small Canadian tech startups in both product and project management roles before joining Invision in 2018.  In her spare time, she bounces between sports, yoga, video games, fishing, and walking her cat.

Meena develops and optimizes Invision’s machine learning applications.  She holds a Masters in Computer Engineering at University of Toronto, with emphasis on artificial intelligence and heterogeneous parallel programming.  Her thesis was based on the evaluation of mixed numerical precision in convolutional neural networks.  Prior to that, she spent 3 years working at a startup in India focused on the design and parallelization of image processing and Machine learning applications.  In her spare time, Meena enjoys keeping active by playing badminton and swimming.

Amal is focused on the application of deep learning techniques to efficiently solve real-world problems.  Prior to joining Invision she worked at Netatmo developing deep learning algorithms for smart cameras, leading the development of efficient face recognition models.  Amal reduce inference time on the camera CPU by 50% and enhanced the performance of face verification by 6%.  She also worked on several research projects such as deep ensemble learning and fairness in face recognition.

Amal earned a B.S. in Computer Science and Statistics from Ecole Polytechnique de Tunisie and an M.S. in Computer Science and Machine Learning from University Paris Dauphine.  During her masters she worked at IBM France developing a dynamic dashboard to monitor support team’s activity.  Post graduation Amal joined the IBM Watson team where she work on the implementation of NLP-based applications (virtual assistant, email-analyzer).

Outside work, Amal enjoys hiking and sports, most recently taking up yoga and kickboxing. She also enjoys concerts and theater.

Camila integrates trained machine learning models and application code in C++.  She also maintains the product demos, and can occasionally be seen pacing in meetings rooms and staring at cameras as she tests the demos.  Camila graduated from Ryerson University’s Biomedical Engineering program and joined Invision in May 2018.  Camila was awarded the Academic Excellence Award from Ryerson’s FEAS Department and an Ontario Center of Excellence TalentEdge Internship for her work.  Camila enjoys relaxing and spending time with family and friends.  After her recent visit to Canadas’s Wonderland she is developing plans for a team outing (and is particularly curious about the biomedical impact of 4+g on her teammates).