Machine Learning Software Development

Joshua Weg

Newhall, CA, *****, US • ******.***.**@*****.*** 818-461-

**** • www.linkedin.com/in/joshua-aaron-weg-b26b5291/ https://github.com/Joshuaweg

IT Professional

Tech-savvy and solutions-focused professional, offering hands-on experience in software development, machine learning, and data engineering. Solid history of leading operational activities of multiple technical projects from start to finish within constraints. Expertise in developing and deploying machine learning models for various applications. Proficient in programming languages, such as Python, R, and Java, with a strong foundation in statistics and mathematics. Highly skilled in data preprocessing, feature engineering, and model evaluation techniques. Experienced in working with deep learning frameworks, such as TensorFlow and PyTorch. Well-verse in determining and meeting clients’ needs for maximum satisfaction/retention. Elite communicator, with an innate ability to cultivate professional relations with key clients and stakeholders. Valuable collaborator, with the capacity to interact closely with across teams to achieve significant outcomes. Committed to staying abreast with emerging tools and technologies to inform strategic business decisions and foster growth.

Technical Proficiencies

Programming Languages: Python, C++, C#, Java, JavaScript, and Node.js Web Technologies: HTML, CSS, PHP, Django, Flask, and MERN/MEAN Stack Database Management: SQL, NoSQL, and Google BigQuery, GraphQL Cloud Platforms: Google Cloud, Azure, and AWS

Machine Learning/Big Data: TensorFlow, PyTorch, Scikit-Learn, Hadoop, Spark, and Kafka Software Development: Software Engineering, DevOps, Project Management, OOP, and Functional Programming Tools and IDEs: Visual Studio, Eclipse, Netbeans, VSCode, Docker, Kubernetes Miscellaneous:

Career Experience

GIS, ArcGIS, Data Pipelining, MLOps, ChatGPT, DALLE, LangChain, and Explainable AI (XAI), HuggingFace

Amazzia, Reseda, CA 2019 to 2024

Data Research Analyst/Data Engineer/Software Engineer Enhanced strategic marketing decisions by creating decision-tree models to analyze seller preferences. Provided deeper insights into brand security challenges and successes by applying new metrics for measuring brand protection performance. Streamlined operational efficiencies and improved decision-making processes by guiding teams in developing and implementing new data analysis tools. Key Contributions:

• Streamlined workflow and increased operational efficiency by developing and implementing Python applications to automate the reporting process, reducing report production time by 80%.

• Enhanced brand protection and visibility through Looker Studio dashboards by refining SQL queries in Google BigQuery database to organize millions of data points.

• Reduced manual data consolidation time from three days to under an hour by automating report generation processes.

• Boosted productivity and data collection capabilities by spearheading the optimization of data scraper systems, achieving a 200% increase in speed through source code refinement.

P a g e 1 2

City of Pasadena DOIT, Pasadena, CA 2018 to 2019

Analyst Intern/Software Engineer/AI Engineer

Contributed to various software solutions that improved city services and facilitated better interactions between residents and municipal systems by quickly adapting to new technologies and project requirements. Increased clarity and precision in public-facing applications by effectively collaborating with various municipal departments, exhibiting strong communication skills. Key Contributions:

• Enhanced municipal service operations by developing applications that integrate GIS data and ArcGIS features.

• Improved community engagement and access to city services by implementing a custom API using Node.js to process Emergency Response data into consumable GIS data.

• Ensured resident interactions with city systems by initiating a Microsoft Azure-hosted chatbot utilizing via Alexa Skills to provide municipal service information.

• Ensured the seamless navigation and optimized user experience for city residents by leading the update of a city map application to comply with the Google Maps V3 API update.

• Boosted the city's capabilities in managing and visualizing geographic information systems by deploying a web application to Microsoft Azure that communicates with a third-party API to pull spatial data for ArcGIS services. Education

Master of Science in Computer Science California State University, Northridge, Expect 2024 Bachelor of Science in Business Administration California State University, Northridge, 2018 Project

Book Genre Classifier

A web application that classifies a book as Fantasy, Fiction, or Nonfiction based on its description, highlighting keywords through model inference for text attribution. This classifier was developed using PyTorch and Captum. Utilizes the Flask web framework. It is hosted on AWS using EC2, Elastic Storage, and Route 53. The classifier is available at https://www.analystrix.com. Professional Affiliations

IEEE-Eta Kappa Nu

Association for Computing Machinery (ACM)

P a g e 2 2

Contact this candidate