Mohammad Zaeem
Software Engineer @Couchbase
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WORK HISTORY
Software Engineer @Couchbase
Manchester, GB
Diagnosed and resolved complex customer issues, delivering reliable solutions that improved system stability and reduced downtime. • Maintained C++ code base with high standards, ensuring reliability and code quality. Developed features to enhance database retrievals times, reinforcing overall system performance. • Collaborated in architectural design discussions, providing insights and contributing to long-term technical solutions that align with product goals and customer requirements. • Implemented agile development methodologies, continuously refactoring and improving the codebase for performance, reliability, and scalability. • Conducted thorough code reviews and developed unit tests that improved coverage and reduced bugs, ensuring high standards in code quality and minimising regressions.
EDUCATION
The University of Manchester
Bachelor's degree, Computer Science
Bingley Grammar School
A-Levels, Mathematics, Further Mathematics, Computer Science
ABOUT MOHAMMAD ZAEEM
I am a C++ Software Engineer at Couchbase, where I work to build high-performing and robust database features at scale. My responsibilities involve contributing to architectural design, maintaining strict code quality standards, and improving system performance with efficient, state-of-the-art C++ coding. My technical proficiency spans C++, Python, and machine learning frameworks like PyTorch and TensorFlow.Apart from my systems programming experience, I also have a strong academic and practical foundation in machine learning and natural language processing. My projects, including fine-tuning BERT to identify offensive language and classifying app reviews using deep learning, have provided me with extensive practical experience in crafting and evaluating NLP models.I\'m most excited about being able to bridge low-level system performance with intelligent, data-driven solutions. I\'d rather be more actively working with machine learning on real-world problems and further evolving at the intersection of infrastructure and AI.
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