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Zain BaigZB
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Zain Baig

@zainbaig

Research intern at University of Alberta who developed a BRT asset-detection pipeline identifying 357 curbside assets across 38 road segments.

Pakistan
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At the University of Alberta, I led the detection pipeline for a BRT corridor analysis project, using YOLO and transformer models to create a deduplicated inventory of 357 curbside assets across 38 road segments. I delivered the inventory as ArcGIS layers for municipal asset management.

At FORSIT, I developed Nuxt 3 and Vue 3 frontends and reduced page rendering time by 15%. I also built a voice AI patient registration agent that saves 16 fields to a FastAPI and PostgreSQL backend, with identity verification and 182 automated tests.

Experience

Work history, roles, and key accomplishments

UA

Research Intern – Mitacs Globalink (GRI)

Jun 2026 - Sep 2026 (3 months)

Independently proposed a research topic on automated sightline and ISD/SSD auditing, comparing RGB, RGB-D, and LiDAR to quantify intersection obstruction. Led the detection pipeline for a BRT corridor analysis project, deploying YOLO and transformer models to build a deduplicated inventory of 357 curbside assets across 38 road segments, delivered as ArcGIS layers.

FO

Frontend Developer

FORSIT

Jul 2025 - Jan 2026 (6 months)

Developed and optimized Nuxt 3/Vue 3 monorepo frontends with TypeScript, AG Grid, and PrimeVue, reducing page rendering time by 15%. Translated Figma mockups into reusable Vue components and integrated typed state management with backend APIs and Supabase authentication.

BH

Backend Developer - Volunteer

Bridges of Hope

Feb 2025 - Jul 2025 (5 months)

Engineered scalable Django backends with custom model relationships, class-based views, and JWT-secured REST APIs for special-needs education support. Integrated ML models into the platform's API layer, building preprocessing, inference, and scoring pipelines.

Education

Degrees, certifications, and relevant coursework

TF

The National University of Computer and Emerging Sciences - FAST

BS in Computer Science, Computer Science

2022 - 2026

Grade: 3.41/4.0

Activities and societies: Dean's List (Fall 2025, Spring 2026)

Pursued a BS in Computer Science with a CGPA of 3.41/4.0, covering coursework in data structures, algorithms, database systems, operating systems, software design, DevOps, and agentic AI.

DeepLearning.AI logoDE

DeepLearning.AI

ML & DL Specializations, Machine Learning and Deep Learning

Completed ML and DL specializations under Andrew Ng, covering machine learning and deep learning fundamentals.

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