CV

Applications Engineer

Convergent Manufacturing Technologies

Data Analyst | Digital Composites Manufacturing & Materials Characterization

• Executed precise numerical (physics-based) model fitting, driving composite manufacturing simulations for leading aerospace firms and material suppliers
• Developed and maintained analytical software scripts for robust material characterization and model refinement via experimental and synthetic data
• Fostered seamless communication within cross-functional teams, liaising to define project parameters, provide real-time updates, and ensure punctual project deliverables

Inventory Management Specialist

Doraltex

Textile manufacturing, import, and distribution

• Engineered a smart inventory control system that leveraged predictive modeling and historical in/out-take data to assign 500+ SKUs to optimal storage spaces; reduced warehouse clutter by 40%
• Integrated sales, inventory and warehouse management into a single warehouse management system for a 30% improvement in product processing times and simplified planning across business units
• Led a team of 20 across 3 warehouses in performing product intake, inventory, and outtake efficiently

Support Systems Analyst

Doraltex

Textile manufacturing, import, and distribution

• Offered comprehensive technical support and troubleshooting assistance to a diverse team of 30+ employees regarding business communication and analytics tools
• Created user guides and documentation to facilitate self-help resources for employees, reducing the reliance on IT support for routine issues

Bachelor of Applied Science (BASc)

University of British Columbia

Manufacturing Engineering with Distinction

• AI & Machine Learning
• System Software Engineering
• Software Design
• Numerical Modeling
• Industrial Automation
• Production Systems Management

Dean's Honour Roll

University of British Columbia

Trek Excellence Scholarship

University of British Columbia

Dean's Achievement Award in Engineering

University of British Columbia

Donald J. Evans Scholarship in Engineering

University of British Columbia

Fatigue Classification Through Brainwave Activity

EEG, ML, Python, Tensorflow, NN, RF

• Developed ML model to classify individual fatigue state using non-invasive wearable electroencephalogram, 6-second brainwave data was transformed into 989 features for training achieving >90% prediction accuracy

Automated Battery Manufacturing

PLC, Python, REST API

• Overhauled battery manufacturing process using programmable logic controllers and custom programs on single board computer. The implemented system actuated a 10kN press, monitored sensor data, and communicated with plant-wide technologies to track Key Performance Indicators throughout the manufacturing lifecycle