Patrick Reynolds Email & Phone Number

Los Angeles, CA, US

Buffalo, New York, US

Technology Development Software Engineer

San Francisco, CA, US

• Ensured learners developed and understood skills in debugging, technical communication, and version control systems for robust software development.
• Managed various aspects of learner support, including support quality assurance and support escalations, alongside responsibilities as a Data Science Learner Assistant with a caseload of 80+ Learners
• Provided meaningful mentorship on topics ranging from Basic Python to Advanced AI model architectures such as CNNs, LSTMs, and Transformers.
• Hosted live coding sessions for computer vision projects ensuring learners received critical hands on experience in Data Science work Flows and traditional software development practices like AGILE

• Developed an engaging and comprehensive curriculum for young students, offering guidance in web development through JavaScript, HTML, and CSS.
• Delivered more than a dozen lectures to classes ranging from 2nd to 10th grade, with 20 or more students, focusing on programming principles and game design utilizing the JavaScript Phaser Library.
• Provided personalized mentorship to 10 individual students seeking additional support in complex topics, including inheritance, polymorphism, data types, and functions.

• Collaborated with the CEO to introduce 20 new reporting metrics, seamlessly integrating them into existing dashboards, and enhancing the application’s performance insights.
• Developed a robust ETL pipeline that efficiently organized and structured data into vital views, enabling upper management to conveniently analyze information leading to a 20% increase in data processing volume
• Worked closely with the product and development teams to rectify revenue and engagement metrics related to in-app transactions and retention rates, ensuring the accurate representation of key performance indicators.
• Leveraged Looker to create comprehensive dashboards showcasing various revenue and engagement KPIs, empowering data-driven decision-making to enhance company profitability and lead generation. As a result, the active.

Colorado Springs, CO, US

• Planned and executed development of 3 separate ETL pipelines using Python, SQL, and AWS to integrate GDELT and custom scrapers for data ingestion and analytics.
• Developed Python scripts for intelligence reporting, enabling the intelligence team to accelerate product creation by an almost 30%.
• Designed and implemented over 20 Python-based web scraping tools, facilitating data extraction from various platforms like Twitter, Mastodon Social, Reddit, WhatsApp, and other related social platforms.
• Trained BERT NLP models on custom datasets in PyTorch for use in topic modeling and risk analysis, further increasing the volume of usable data for intelligence reports.