Albin Joy
Mortgage Agent Level 1 at The Mortgage Advisors
Ottawa, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAlbin Joy is a precision-driven Mortgage Agent Level 1 in Ottawa who leverages nine years of engineering and test-validation experience to craft optimized, long-term home financing strategies. With a background in mechanical and energy-systems engineering and a graduate certificate in AI software development, he applies rigorous data analysis and systems thinking to compare lender policies and structure tailored mortgages for diverse credit profiles. Former roles as a system performance and test engineer give him practical expertise in PLCs, data integrity, and automated testing—skills he now uses to model risk, streamline approvals, and engineer debt-consolidation solutions. He’s contributed to the high-profile TVM deep learning compiler by improving TensorFlow and ONNX frontends, indicating a comfort with complex open-source ML tooling that informs his analytical approach. Known for translating technical jargon into clear, actionable steps for first-time buyers, he combines hands-on problem solving with an unusual blend of finance and machine-learning fluency. Based in Ottawa, Albin aims not just to secure loans but to design mortgage structures that protect clients’ interests and accelerate their wealth-building goals.
9 years of coding experience
6 years of employment as a software developer
Algonquin CollegeAdvanced Diploma, Energy Systems Engineering Technology, Advanced Diploma, Energy Systems Engineering Technology at Centennial CollegeBachelor of Engineering - BE, Mechanical Engineering, Bachelor of Engineering - BE, Mechanical Engineering at Sathyabama Institute of Science & Technology, Chennai
Malayalam, English
Github Skills (10)
tvm10
compiler10
machine-learning10
deeplearning-ai10
compiler-compiler10
deep-learning10
tensorflow10
onnx10
python10
test-automation9
Programming languages (4)
Github contributions (5)
apache/tvm
Jul 2018 - Sep 2018
Open Machine Learning Compiler Framework
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 6 PRs, 20 comments in 2 months
Contributions summary:Albin contributed to the TensorFlow and ONNX frontend implementations within the TVM project. Their work involved fixing shape parsing issues, implementing LSTM operator support, and adding LRN support for ONNX. They also optimized several TensorFlow test cases and improved existing test coverage, focusing on the integration and verification of various operators within the TVM compiler.
compilermachine-learningtensordeep-learninggpu
joyalbin/tvm
Jul 2018 - Sep 2018
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Contributions:27 pushes, 8 branches in 2 months
cpugpu-programminggpu-accelerationtvmdeep-learning
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