Bhavish Mohee

First-Class MSc graduate in Cybersecurity and Artificial Intelligence from the University of Sheffield with over 3 years of software development experience in FinTech and logistics. Skilled in translating complex requirements into scalable and maintainable solutions, with a proven ability to align technical implementations with evolving business needs while ensuring operational excellence. Strong academic foundation with a BSc in Computer Science and Computer Engineering and an Honours in Computer Science from the University of Cape Town.

Proficient in backend and frontend development, API integration, cloud computing, and applying AI/ML techniques to practical challenges.

Senior Software Developer with over 4 years of experience delivering scalable software solutions across fintech and enterprise environments. Currently leading multiple .NET Core, API, and AWS-based integration projects at Korridor Holdings, successfully coordinating Agile workflows and delivering all milestones on time. Experienced in integrating third-party APIs, improving system efficiency, and applying SOLID principles and Domain-Driven Design to maintain clean, scalable architectures.

Strong background in cloud and DevOps technologies including AWS, Docker, Kubernetes, Jenkins, and CI/CD pipelines. Previously delivered full-stack solutions using Angular, .NET Core, and Azure, enhancing performance and user experience for financial services clients. Early career includes academic tutoring in computer science and hands-on software engineering internship experience, building a solid foundation in collaborative development and problem-solving.

Pursued an MSc in Cybersecurity and Artificial Intelligence at the University of Sheffield (GPA 80.6%), with a research focus on privacy-preserving machine learning, including zero-knowledge proofs for neural network inference and verifiable, differentially private training. Dissertation work centres on developing a cryptographic Python framework for verifiable CNNs (Py-zkCNN), alongside ongoing research into zkRNNs and secure outsourced training. Holds an Honours degree in Computer Science and a BSc in Computer Science and Computer Engineering from the University of Cape Town, with projects spanning 3D astronomy visualisation and inverse drug design systems.

Complemented by short courses in Data Science and Blockchain, and certifications in Generative AI and Oracle Cloud Infrastructure. Technically strong across AI/ML frameworks, backend and frontend development, cloud platforms (AWS, Azure), and DevOps tooling, with solid grounding in security, distributed systems, and Agile delivery.