Anannye
Exploring the intersections of computer science, mathematics, and engineering — designing solutions that balance innovation and scale.
About me
Expertise in mathematical modelling: automation, data-driven engineering, and large-scale optimisation. I’ve accelerated analysis from hours to minutes, strengthened high-demand infrastructure, and surfaced hidden patterns in complex data.I love working through quantitative methods, delivering results that are precise and scalable across all domains.
Highlights
• IBM: Designed large-scale automation pipelines that turned days of analysis into hours, increased coverage from partial to near-complete, and multiplied productivity more than tenfold. At scale, the impact modelled tens of millions in savings, not only in saved time but in opportunities uncovered that would otherwise stay hidden.• Intec: Engineered large-scale networks that supported an entire University and global operations, maintaining near-perfect availability while serving tens of thousands of users. The design doubled efficiency, cut costs significantly, and raised compliance to enterprise standards; proof that quality and efficiency can go hand in hand.• Some projects: Developed high-performance quantitative systems, from ultra-low-latency market-making stacks and exchange-grade asset-matching engines to Bayesian pipelines for multi-planet analysis and physics-informed space networks. Delivered exponential performance gains, sub-millisecond latencies, and research-grade reproducibility combining analytical rigour with real-world impact.
Education
I currently read MEng (Hons.) Computer Science at Durham University.• Grades: Predicted 1st; A*A*A*A*A*; SAT – 99th percentile.I was awarded for extraordinary academic performance: ICO Olympiad Representative, International Excellence, and SAT Top Scholar.Focus includes quantitative modelling, supported by strong foundations in Mathematics and Physics.Alongside my studies, I take part in societies spanning Mathematics, Physics, Astronomy, Finance, and Computing; reflecting interests that range from complex, abstract problems to practical applications.
Astrophysics
My fascination, one that lies in its complexity: galaxies and complex data resist easy simplification, where uncertainty is not a flaw but a fact. Working within those mathematical constraints sharpens precision, logic, and clarity. In my technical work, I aim for the same philosophy: systems should be simple where possible, complex where necessary, and efficient when stretched to scale.
Music
Music has always been a core rhythm in my life: I play guitar. It’s a passion that balances the abstract with the creative, and one I greatly value for its importance in shaping analytical intuition and cognitive discipline.
