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vritid/README.md

Vriti Dahiya | Computer Science Specialist @ University of Toronto

Experiences

  • AI Dev @ Co-operators
  • BWLab: Research Assistant: ML & Cognitive Modeling
  • Research Collab at Oxford: AR-based emotional intelligence intervention; study prep & evaluation design (COM-B)
  • Data Science & Analytics: Developed predictive models and recommendation engines using Python, SQL, and MongoDB; integrated LLMs for automated insights; performed A/B testing and statistical analysis to optimize user engagement and decision-making
  • Cloud & Production Systems: AWS, Docker, FastAPI/Flask, CI/CD, Terraform, event-driven microservices
  • Web & UI: React, Next.js, HTML/CSS, Figma, PDF/image data processing

🔗 LinkedIn | Devpost

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  1. starlink-mission-planner starlink-mission-planner Public

    Starlink ground tracks + ML pass-quality scoring (IN PROGRESS)

    TypeScript

  2. Rostr. Rostr. Public

    Forked from rostr-ftl2025/rostr

    An all-in-one personal assistant focused exclusively on pitchers: it grades teams across key pitching stats, recommends optimized lineups, analyzes opponents’ rosters to highlight weaknesses, and e…

    TypeScript

  3. GigIT GigIT Public

    Forked from Meemom/GigIT

    JavaScript

  4. microkernel microkernel Public

    Forked from m9ssah/microkernel

    C