Matthew Deakos Email & Phone Number

• Built and deployed a scalable entity resolution model using Python, XGBoost, and scikit-learn, resulting in high throughput and a 25% increase in precision and recall.
• Developed a schema for a Graph Database (neo4j) and deployed/maintained it via Kubernetes on Google Kubernetes Engine (GKE), improving the organization's data storage and retrieval capabilities.
• Led a team for an internal AI site builder powered by LLMs. Designed initial prototype and lead transition into a full product. Improved site development throughput by 600%.
• Conducted causal impact analysis of reviews on customer acquisition with the dowhy package, providing valuable insights for marketing and product development teams.
• Designed and implemented a high-availability semantic search engine with Redis, OpenAI Embeddings and deployed on Cloud Run.
• Maintained a dataflow pipeline between Google Cloud Datastore and BigQuery, ensuring efficient data transfer and data consistency across systems.

Halifax, Nova Scotia, Canada

• Examine business requirements and provide advice on how to best develop ML solutions.
• Architect and implement Machine Learning pipelines using various technologies, depending on requirements. Projects have been deployed using GCP (Dataflow/Vertex) and AWS (Lambda/EC2).
• Examine ML solution proposals and provide risk assessments.

Vancouver, British Columbia, Canada

• Research, develop and test machine learning solutions to Computer Vision (Object Detection and Image Segmentation) problems. (PyTorch/TF)
• Profile and optimize existing machine learning processes to improve responsiveness and execution speed.
• Package and deploy inference systems using AWS ecosystem (Lambda/EC2)
• Architect a testing and CI framework to support robust ML development (Github Actions/PyTest)

• Perform code review and project review for students of the Machine Learning Engineer program at Udacity. Typical projects include sentiment analysis, computer vision tasks, applied reinforcement learning, GANs.
• Provide guidance and mentorship for students enrolled in the program.
• Provide insight to students related to applying technologies such as Tensorflow, Keras, Docker, AWS, and other data science libraries to practical machine-learning projects.

Raleigh-Durham, North Carolina Area

• Development and implementation of high-speed trading strategies for cryptocurrency exchanges.
• Designed efficient simulations based on real-world data collected stored in a NoSQL database to test and analyze various trading strategies.
• Technologies used include Python, C, MongoDB, Data Science libraries (Pandas, Keras, etc.) and Docker. Deployed on AWS.

500 King St. Waterloo

• As a Business Systems Analyst, I made several noteworthy contributions to my department:
• Built a OLAP cube in SSAS to allow colleagues to explore information in our ticket database in a user-friendly way.
• Developed a Python application to scan through documents in Sharepoint Document libraries and scan for personal information. This application was used to identify 216 documents containing sensitive information in a.
• Was responsible for maintaining and reporting on an application. This meant both handling user issues as well as maintaining contact with the Vendor to address these problems.
• Automated several day-to-day processes using VBA and PowerShell, which allowed my station to shift its focus from repetitive tasks to more complex and creative purposes.

RIM Park, Waterloo, Ontario

• Answered client inquiries and provided support for facility rentals.
• Performed the daily cash balancing and nightly deposits.
• Developed a VBA tool to automate the facility scheduling process, saving roughly 10 hours per week of work between colleagues.

Cambridge, Ontario

• Designed a database to track modifications to item information.
• Automated roughly 45 hours of work per week across departments with VBA and Python scripts.
• Organized and reported on various company metrics to support other analysts.
• Analyzed and root-caused problems in the daily workflow as they arose.

Master Of Science - Ms, Computer Science, 4.0/4.0

Specialization in Machine Learning

Bachelor Of Business Administration (Bba), Finance, General, 10/12

Activities and Societies: House Council, Campus Council. Specialized in Finance and minored in Computer Science.