
Omer Chandna
Engineering / Architecture
About Omer Chandna:
Hi there 👋 I’m Omer
🚀Computer Science Student | Co-Founder at OptiLock | Machine Learning/Computer Vision Engineer 🤖
🎓 Pursuing a Bachelor's in Computer Science at Toronto Metropolitan University, actively engaged in research and practical application of emerging technologies.
🔬 Researcher at the Autonomous Vehicles Laboratory (AVL), contributing to cutting-edge projects aimed at advancing the capabilities and safety of autonomous vehicles.
💼 Co-founder of OptiLock, where we're revolutionizing home security with our facial recognition door lock system. Committed to innovation and user-centric design, ensuring seamless integration into everyday life.
🌟 Leveraging expertise in machine learning and computer vision, I drive technological advancements at OptiLock while contributing to research at AVL.
Experience
Internship Experience at Airbus:
Machine Learning Development:
Developed and optimized machine learning models, focusing on Small Language Models (SLM).
Utilized C# and the .NET Framework for robust backend solutions.
Performance and Automation:
Conducted performance testing and implemented test automation to ensure high-quality software releases.
Leveraged tools like Datadog for system performance monitoring.
DevOps and Cloud Integration:
Employed DevOps practices, including CI/CD using Gitlab.
Leveraged cloud computing platforms for scalable data processing and storage solutions.
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Researcher | Autonomous Vehicles Laboratory (AVL)
Contributed to cutting-edge projects aimed at advancing the capabilities and safety of autonomous vehicles.
Leveraged expertise in machine learning and computer vision to drive technological advancements.
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Co-Founder | OptiLock
Revolutionizing home security with a facial recognition door lock system.
Committed to innovation and user-centric design, ensuring seamless integration into everyday life.
Leveraging expertise in machine learning and computer vision to drive technological advancements at OptiLock.
Education
Bachelor's in Computer Science | Toronto Metropolitan University
- Actively engaged in research and practical application of emerging technologies
- 3.5 CGPA