Anusha Iyengar

Computer Engineering graduate with experience designing and developing user facing web applications, working with digital data, conducting technical research, and communicating highly technical concepts to a wide range of audiences. Experienced with React, JavaScript, HTML/CSS, Python, Git, PostgreSQL, and web application development, with a portfolio of visually engaging interactive projects. Strong problem solving and communication skills, with a focus on building useful, efficient, and customer focused digital experiences.

Full-Stack Software Engineer Intern - Faction Financial

(2023-05 - 2024-09)

• Developed and maintained application functionality using Python, Go, JavaScript, HTML/CSS, and RESTful APIs.
• Designed and tested API workflows using Postman, identifying defects and validating application behavior for accuracy and reliability.
• Worked with PostgreSQL databases and optimized data operations to support efficient data retrieval and application performance.
• Regularly collaborated with front end developers to integrate backend services with client facing features and deliver end to end functionality.
• Used Git to manage code changes, resolve defects, and collaborate effectively across the engineering team.

Machine Learning Researcher - Centre for Addiction and Mental Health (CAMH)

(2025-06)

• Developed and evaluated digital data workflows for analyzing 3,500+ patient level actigraphy observations, applying data cleaning, organization, transformation, and quality checks.
• Implemented and compared Logistic Regression, Random Forest, and XGBoost with a novel KAN approach, achieving a final balanced accuracy of 0.81 for depression prediction. Results were 20% higher than the baseline target performance.
• Conducted research and analysis to identify meaningful patterns in complex datasets while maintaining accuracy and consistency throughout the process.
• Documented technical methods, results, and analysis for use by research and clinical collaborators.
• Presented technical findings during weekly meetings with clinicians and healthcare professionals, adapting explanations for both technical and non technical audiences.
• Researched and evaluated different software and computational approaches, contributing to decisions around implementation and evaluation.

Master of Engineering - Electrical and Computer Engineering - University of Toronto (2024-09 - 2026-06)

Bachelor of Science, Honors Specialization - Computer Science - Western University (2020-09 - 2024-06)