Education
B.Sc. Engineering Physics With Distinction
University of Alberta - Dept. of Electrical and Computer Engineering, 2021
Skills
Some relevant skills I have:
Experience
DrugBank - Machine Learning Engineer II
December 2022 - Current
- Accelerated clinical data curation velocity by 33% by pre-annotating input text using a NER transformer (BERT) NLP model.
- Normalized text entities to the DrugBank database using fine-tuned search/ ranking bi-encoder models with >88% F1.
- Increased sales funnel conversion rate estimation F1 score by 40% using data mining/ analytics techniques.
- Deployed several models to process PubMed abstracts using BentoML to enable high-throughput data mining.
- Mitigated over 400 Depend Bot vulnerabilities by migrating tech debt from TensorFlow 1 to the newest HuggingFace/ PyTorch architecture.
AltaML - Associate Machine Learning Developer
October 2021 - December 2021
- Developing models to provide personalized service to customers.
- Building ETL data pipelines using BigQuery and Python.
- Applying models such as random forests, XGBoost, and TabNet.
- Communicating the abilities and limitations of ML systems to developers, product managers, and internal product users.
Tricca Technologies - Research and Development Co-op
June 2020 - August 2020
- Tricca Technologies is a startup company focused on medical device development.
- Designed C++ firmware, circuits, PCBs, and 3D printed parts for an electric arc ampoule sealer for independent laboratories to repackage expensive chemical standards into smaller ampoules, reducing cost and waste.
Microsemi/ Microchip Technology - Physical Design Intern
September 2019 - December 2019
- Automated component metadata cross-validation process to improve operational flow, using RESTful API and Python.
- Routed parts of the cutting-edge META-DX1 ethernet chip at the top level, which is capable of up to 1.2 Tbps capacity throughput in a single chip.
Binary Research Group - Data Analyst/ Research Assistant
January 2019 - August 2019
- Worked on a smart Arduino IoT device to perform colorectal cancer screening.
- funded by the National Institutes of Health (NIH) for patients in Nigeria.
- Programmed the screening tests using colorimetric reactions based on metabolite concentrations in urine.
- Established calibration algorithms to mitigate variations between sensors.
Ultrafast Spectroscopy and Nanotools Labs - Research Assistant
January 2019 - August 2019
- Created a scheduler script for COMSOL in Python to increase the simulation capacity by 80%.
- Oversaw 1400 hours of COMSOL simulations with semiconductor and electromagnetic modules.
- Developed a graphical user interface (GUI) for MATLAB models created by colleagues.
- Improved an electron diffusion finite element model in Python
Bibliography
Co-authored
Selected Courses
ECE 210:
Introduction to Digital Logic Design
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ECE 220:
Programming for Electrical Engineering
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ECE 240:
Continuous Time Signals and Systems
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ECE 302:
Electronic Devices
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ECE 303:
Analog Electronics
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ECE 340:
Discrete Time Signals and Systems
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ECE 341:
Analytical Methods in Electrical Engineering
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ECE 360:
Control Systems I
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ECE 380:
Introduction to Communication Systems
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ECE 449:
Intelligent Systems Engineering
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ECE 456:
Introduction to Nanoelectronics
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ECE 494/495:
Engineering Physics Design Project I&II
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ECON 204:
Principles of Economics
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ENG M 401:
Financial Management for Engineers
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Math 311:
Theory of Functions of a Complex Variable
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PHYS 311:
Statistical Physics
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PHYS 372:
Quantum Mechanics A
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PHYS 415:
Introduction to Condensed Matter Physics
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ACCT 253:
Introductory Financial Accounting