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Shaivi Sahni

Computer Engineering student · Full Stack Developer · AI/ML Enthusiast

Waterloo, Ontario, Canada

@shaivi_sahni

LinkedIn GitHub

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🎓 Bachelor of Applied Science (BASc) in Computer Engineering at University of Waterloo · Graduating 2029

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About

Computer Engineering student at the University of Waterloo with experience in full-stack development, AI research, and software testing. Has built clinical booking platforms, LLM-based tools, and data-driven projects using modern web and AI technologies.

Experience

  • Software & Digital Solutions Intern
    Philip Morris International
    Apr 2026 – Aug 2026

    Led integration of an AI translation layer across 13 digital and e-commerce publication platforms. Coordinated cross-functional teams and external vendors through deployment planning and go-live, defined acceptance criteria, ran UAT sign-off, and tracked regressions to closure.

  • Full Stack Developer
    The Fertility and Reproductive Medicine Centre
    Sep 2025 – Dec 2025

    Built two clinical booking platforms from scratch on a 3-person team. Developed appointment booking with email verification and payment processing, and built role-based admin, doctor, and patient dashboards across both platforms.

  • AI Research & Strategy Consultant
    Searchless Inc.
    Feb 2025 – Apr 2025

    Built and tested an LLM-based tool for generating interview outputs from job descriptions. Improved output quality through iterative prompt design and testing.

Education

  • Bachelor of Applied Science (BASc)
    University of Waterloo
    Computer Engineering · Sep 2024 – Apr 2029

Skills

2 to 5 years 2 to 5 years Several years of experience.
HTML&CSS
1 to 2 years 1 to 2 years A year or two of steady use.
LLMs Agile
6 to 12 months 6 to 12 months Most of a year behind them.
React Python Technical Documentation
3 to 6 months 3 to 6 months A few months of practice with it.
C SQL Java Node.js PyTorch JavaScript TypeScript Responsive Design Prompt Engineering API Integration Understanding
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Bash CI/CD D3.js FastAPI Data Modeling

Tools / apps / platforms

1 to 2 years 1 to 2 years A year or two of steady use.
Git Microsoft Power BI
6 to 12 months 6 to 12 months Most of a year behind them.
Ollama Vercel
3 to 6 months 3 to 6 months A few months of practice with it.
MongoDB Snowflake Hugging Face Microsoft Azure Amazon Web Services AWS

Projects

  • Summus - AI T&C Summarizer ↗
    JavaScript, Python, Ollama, FastAPI, Flask-CORS, REST

    Chrome extension that summarizes terms and conditions pages on demand, with an interactive side panel and in-page chatbot navigation.

  • Population Growth Simulator ↗
    JavaScript, D3.js, HTML, CSS

    Interactive visualization tool for Canadian census datasets modeling population growth across cities and provinces.

  • Binary Image Classifier ↗
    PyTorch, ResNet-18, Transfer Learning, Python

    Fine-tuned a ResNet-18 CNN for dog vs. cat classification with an end-to-end training pipeline and 98% validation accuracy.

  • IQ vs Income (Global Data Analysis)
    Python, Pandas, Statistical Analysis, Data Visualization

    Cleaned and analyzed global demographic and economic datasets, performing EDA with regression models, confidence intervals, and outlier detection.

🏆 Achievements & awards

  • University of Waterloo President’s Scholarship of Distinction · 2024
  • PMI DNA Award · 2026

    Won for AI domain work across Latin America and Canada; first intern to receive it.

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