Learner

Chhavi Nayyar

Learner

Available to hire

Learner

Experience Level

Expert
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Intermediate
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Work Experience

Software Engineer Intern at Mastercard
May 1, 2026 - August 1, 2026
Built backend microservices in Java and Python with gRPC/REST for low-latency, real-time transaction processing on payments infrastructure. Productized and deployed ML pipelines using Docker, Terraform, and AWS in production, building stress tests that validated model robustness for fraud detection.
Teaching Assistant at UBC Computer Science & Cognitive Systems Departments
January 1, 2026 - April 1, 2026
Supported graduate instruction for CPSC 532C/554C (Human-Centered AI), facilitating seminars on algorithmic fairness, bias, and evaluation methods. Led lab sessions for COGS 300 and COGS 303, bridging cognitive science theory with applied AI implementation.
Automation Engineer at UBC Extended Learning
September 1, 2025 - April 1, 2026
Built an end-to-end automation pipeline in Python converting CSV survey data to structured PDF reports, eliminating ~70% of manual processing. Engineered automated notification workflows, reducing manual coordination overhead across course operations teams.
Full-Stack Developer at UBC Michael Smith Laboratories
July 1, 2025 - September 1, 2025
Built a responsive TypeScript/React site for the graduate Biochemistry program. Established CI/CD and automated testing, cutting update turnaround by 30% for 200+ stakeholders. Conducted UX research and implemented WCAG 2.1 accessibility improvements across navigation and information architecture.
Machine Learning Engineer at BC Cancer
June 1, 2025 - December 1, 2025
Engineered and evaluated unsupervised ML pipelines in Python/scikit-learn to annotate and synthesize large-scale qualitative healthcare data, improving pattern detection by 40%. Built and shipped an open-source concept-mapping toolkit (NetworkX, FastAPI) as a production backend service with interactive Plotly dashboards, cutting manual analysis time by 50%; co-authored a publication.
Deep Learning Engineer at UBC Department of Computer Science
April 1, 2025 - December 1, 2025
Architected and evaluated VTNet human motion models using TensorFlow/PyTorch with 3D transformations and linear algebra for real-time gaze prediction, achieving a 25% accuracy gain. Orchestrated distributed training experiments on Slurm HPC clusters, accelerating large-scale training data pipelines by 30% for rapid iteration.

Education

BSc, Combined Major in Computer Science, Biology, & Cognitive Systems at University of British Columbia
September 1, 2022 - May 1, 2027

Qualifications

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Industry Experience

Software & Internet, Education, Healthcare, Professional Services, Financial Services