Designs and implements a Python-based multithreaded algorithmic trading system for agricultural commodities integrated with multiple trading services’ APIs and powered by technical analysis.

• Develops and maintains ETL pipelines leveraging web scraping, reverse engineered APIs, Selenium Browser automation, and AI-powered data extraction.

• Incorporates new data sources to improve forecasting and decrease variability. Corn flat price forecasting success rate is currently 62.2% with 161 wins and 98 losses since inception.

• Contributed to 80% annualized growth of client base.

Translated clients’ business needs into technical requirements. Projects included ETL pipeline design, web scraping, infrastructure design, test writing, and data processing.

• Designed a more efficient and scalable method to replicate DynamoDB databases to multiple destinations using Kinesis Data Streams.

• Implemented solution in Kotlin with 100% unit test coverage using JUnit and Mockito.

• Authored a comprehensive technical design document, vetted by peer and manager review.

• Actively participated in code reviews and Agile ceremonies alongside senior developers.

• Received offer of full-time employment

• Led a portion of a project to standardize the development processes of six teams throughout the company.

• Interviewed the leaders of different development teams to create process models of each organization’s development processes.

• Identified gaps and made recommendations to improve efficiency and security.