Hello! my name is William Doyle, I graduated from Worcester Polytechnic Insititute with a bachelor's in computer science. I have strong interest in machine learning, systems level programming, and backend software development.
Experience
Software Enigneer Intern
Shoptaki
- Responsible for implementing Shoptaki's natural language solution for querying internal relational databases backend for website.
- Researched natural language models (commercial and open source) and selected models for deployment.
- Cleaned and Preprocessed WikiSQL training dataset in Python and Pandas for model training, ensuring high-quality and accurate datasets for analysis.
- Ran encoder-decoder models and compared overall performance/accuracy using TensorFlow on Google Collab.
- Led team organization and project structuring using Agile methodologies, coordinating tasks and ensuring timely delivery of project objectives.
Projects
Custom Memory Allocator in C++
Built a custom memory allocator class in C++ using the windows memory api and implemented a malloc(), free(), and multiple memory
allocation strategies. Additionally, I have a series of benchmarks to measure different strategies performance on time for
allocation and deallocation, and fragmentation
![Mositure Sensor]()
ESP32 Wireless Moisture Sensor
This projects used an ESP32 microcontroller to monitor moisture levels in realtime and displays the live feed to a website for easy access.
The sensor collects data in intervals and transmits it wirelessly to a realtime database on Google firebase. The data is then fetched by a
seperate website hosted on github pages to display the live data. This allows for easier monitoring of the plants.
Potential future plans would involve using a timeseries database to store intervals of sensor data over a series of time that could then
be used for analysis later on.
Live Data Website
Financial Literacy and Budgeting App
This project was for my major capstone in which me and another person, in 7 weeks, had to build a financial Literacy and budgeting app for a
company sponsor through WPI.
The application had a host of features including: secure authentication using proper salt and pepper hashing,
a page for tracking budgets among different categories, connecting to the user bank account using the stripe api and allowing all e-transactions
to be sorted into there appropriate user budget category, detailed spending analysis on each budget category, a chat bot using OpenAI API that
was pre prompted on user financial data so that it was able to provided personalized financial advice to the user and more.
Unfortunately due to the app being the property of the company, the repository for the project is private.
Blood MNIST CNN Classifier Transfer Learning Model
wip
Acadia Sound Analysis Project
wip
Custom Memory Allocator in C++
Built a custom memory allocator class in C++ using the windows memory api and implemented a malloc(), free(), and multiple memory allocation strategies. Additionally, I have a series of benchmarks to measure different strategies performance on time for allocation and deallocation, and fragmentation
ESP32 Wireless Moisture Sensor
This projects used an ESP32 microcontroller to monitor moisture levels in realtime and displays the live feed to a website for easy access. The sensor collects data in intervals and transmits it wirelessly to a realtime database on Google firebase. The data is then fetched by a seperate website hosted on github pages to display the live data. This allows for easier monitoring of the plants.
Potential future plans would involve using a timeseries database to store intervals of sensor data over a series of time that could then be used for analysis later on.
Live Data Website
Financial Literacy and Budgeting App
This project was for my major capstone in which me and another person, in 7 weeks, had to build a financial Literacy and budgeting app for a company sponsor through WPI.
The application had a host of features including: secure authentication using proper salt and pepper hashing, a page for tracking budgets among different categories, connecting to the user bank account using the stripe api and allowing all e-transactions to be sorted into there appropriate user budget category, detailed spending analysis on each budget category, a chat bot using OpenAI API that was pre prompted on user financial data so that it was able to provided personalized financial advice to the user and more.
Unfortunately due to the app being the property of the company, the repository for the project is private.
Blood MNIST CNN Classifier Transfer Learning Model
wip
Acadia Sound Analysis Project
wip