Masoud Azizi is a Senior Software Engineer with 11 years of experience building large-scale, enterprise-grade systems across banking, healthcare, and ERP domains. He specializes in Java-based microservices, BPMS (Flowable/BPMN), distributed systems, and big data stacks, having led a cross-functional team to launch a BPMS microservice and rearchitect legacy workflow engines. Masoud blends backend depth (Spring Boot, Spring Cloud, JPA, Apache Camel) with practical DevOps and data tooling (Docker, Elasticsearch, Redis, Cassandra) and has delivered measurable operational improvements such as automating issuer configuration to save 25% of time. He contributes to open-source trading-strategy work on Freqtrade as a back-end developer and data scientist, demonstrating applied machine-learning/hyperparameter tuning skills beyond his core Java focus. Based in Tabriz with ties to the Netherlands, he’s a collaborative team player who enjoys R&D and crafting pragmatic solutions that bridge product needs and scalable architecture.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MSc), Computer Engineering, Master of Science (MSc), Computer Engineering at Arak University
Contributions:46 reviews, 49 commits, 35 PRs in 1 year 1 month
Contributions summary:Masoud primarily contributes to the development of trading strategies within the Freqtrade framework. Their work includes the creation of new trading strategies, indicated by the "mabStra" and "GodStra" implementations. A strong emphasis is on hyperparameter optimization, as demonstrated by the "mabStraHo" and "GodStraHo" files, suggesting a data science focus on model tuning for improved trading performance. The user has also experimented with the Heracles and Zeus strategy, showing a focus on strategy development.
MasTrade is a trading bot in baselines3,pytorch,gym
Contributions:27 commits, 26 pushes, 1 branch in 5 months
trading-bot
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