BHUMI SHAH

Computer Engineering @ University of Waterloo

Interested in systems, markets, and making things run fast.

About Me

Hi, I'm Bhumi — a Computer Engineering student at the University of Waterloo.

I'm passionate about using software to design tools that solve real-world problems. My curiosity lies at the intersection of:

Whether it's coding backend systems, debugging data pipelines, or exploring quant models, I'm always chasing clean logic and smart outcomes.

When I'm not deep in code, you'll catch me:

Projects

AI-powered skincare barcode scanner with real-time analysis.

FlaskTailwind CSSQuaggaJSGemini APIINCI Beauty API

A live-stock tracker inspired by the Bloomberg Terminal.

FlaskTailwind CSSyFinance APIChart.jsHTMLJavaScript

Marine data logger for ocean temperature shifts and climate monitoring, built on STM32.

C++STM32AssemblyEmbedded SystemsSD Logging

Explore more utilities, tools, and experiments in my GitHub.

Experience

Apr 2025 – Aug 2025 | Mississauga, Ontario, Canada

Automated client reporting workflows using Python by validating structured data, standardizing output formats, and performing line count analysis to support internal audits.
Leveraged SQL Server to synchronize rebate, inventory, and client datasets, enabling consistent, audit-ready analytics.
Built Excel VBA macros to automate multi-source data consolidation, cutting manual reporting time significantly.

MSSQLExcel VBAPython

May 2025 – Present | Waterloo, Ontario, Canada

Designed and implemented the EMG data collection protocol for bicep motion analysis, including electrode placement, signal calibration, and repeatable recording processes.
Built a custom Python GUI for data acquisition, sensor validation, calibration, and motion trial coordination.
Defined structured CSV output format with motion/event labeling, timestamping, and dual-sensor logging for downstream ML analysis.

PythonGUIC++ESP32

December 2024 – April 2025 | Waterloo, Ontario, Canada

Developed real-time inventory validation at checkout using PostgreSQL to prevent overselling and ensure product availability.
Integrated Stripe API to process secure payments and streamline the user transaction flow.
Automated post-checkout operations, including confirmation emails to users, admin alerts to Electrium, and live stock updates in the database.

Next.jsPostgreSQLTailwind CSSStripe API

May 2024 – August 2024 | Newark, California, United States (Remote)

Developed an automated HR Data Management System by scripting Excel download and tracking workflows from SharePoint
Consolidated data from multiple sources into a SQL Server database, applying cleaning and standardization logic to maintain accuracy.
Built interactive Power BI dashboards for HR to monitor employee distribution, service types, and training conversion rates.

PythonMYSQLPowerBI