3 years direct experience providing tech solutions as a software developer. Responsible for construction of API services, and designing quantitative trading logic in Python. In my current role I’ve developed a robust automated framework for continuous quantitative trading on online sports exchanges that achieves thousands of matched positions, over various strategies, every week. Role specific achievements and ongoing responsibilites:• Designed and developed a robust framework for automated quantitative betting, regularly achieving over 10,000 filled positions per week. Resilient to both manual placement and extreme market volatility.• Achieved 8-fold improvement in strategy execution frequency through extensive use of parallel processing and queue functionality. Code blocking tasks, including external requests and logging calls , offloaded to worker threads to nullify runtime impact. All delivered without increase to system specs/overheads.• 14% ROI realised through the implementation of automated trading behaviour. Achieved by the effective decomposition of strategy concepts into core low level steps and concise trading logic.• Interfaced and manipulated Big Data from SQL databases using libraries such as psycopg2 and pandas.io.sql. Implemented long lived connection functionality removing all production pipeline errors and timeouts.• Developed numerous Python API app services to independently trade from strategic locations using cloud servers.• Responsible for constructing CI/CD test and production GitHub Actions pipelines that manage Azure cloud deployments of web service infrastructure.• Built and maintained microservices for the continuous automated web scraping of price data and complementary metrics. Over 7.2 million entries logged weekly.• Frequent exposure to high pressure scenarios requiring clear and concise problem solving to ensure maximum returns.