Tinashe Dzemwa is a software engineer with 10 years of hands-on experience building high-performance backend systems across finance and fintech, currently contributing to Bloomberg’s Fixed Income & Swaps order and trade entry platform. Proficient in C++, Python, C#, and Java, he has a strong track record in production-grade engineering, including building RESTful services, optimizing SQL-intensive workflows, and improving observability and scalability. At Morgan Stanley he architected and deployed a Retrieval-Augmented Generation system that embedded millions of lines of code to enable natural-language developer queries, cutting search latency from minutes to seconds and boosting retrieval precision. He blends QA-oriented craftsmanship—automating the boring stuff and enjoying manual bug hunting—with practical machine learning and NLP experience, having fine-tuned models for domain-specific finance contexts. Based in New York, he combines graduate-level CS training with cross-border fintech experience, bringing a pragmatic focus on performance, developer productivity, and compliance-aware design.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Midlands State University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Concordia University-Wisconsin
Master of Science - MS Organizational Development and Leadership, Master of Science - MS Organizational Development and Leadership at Newberry College
Contributions:1 release, 6 pushes, 1 branch in 3 years 5 months
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