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Conferences & events
Researcher — Quantum Computation & Quantum Machine Learning
Chief Technical Officer & Founder
Leading R&D initiatives in quantum information science — quantum algorithms for networking, quantum simulations, and quantum machine learning. Driving technical strategy and development of quantum computing solutions.
Quantum Startup Incubation Programme
Conducted research on Quantum Monte Carlo simulations and Quantum Long-Short Term Memory models for option price forecasting. Algorithms were implemented and run on quantum hardware.
Research Assistant — Computer Science
Investigated and implemented quantum optimisation techniques to enhance machine learning models. Developed and analysed mathematical frameworks for quantum-classical hybrid algorithms.
Research Assistant — Department of Mathematics
Conducted research on differential forms and geometric algebra with applications to machine learning and optimisation theory. Worked under Dr. Partha Guha (former member of Sir Roger Penrose's research group and Simon Donaldson's group).
Independent Researcher
Conducted research on quantum simulations using Variational Quantum algorithms on quantum hardware. Focused on computational chemistry applications using quantum Monte Carlo methods.
Backend Apprentice
Implemented and analysed audio compression algorithms using C++, fast Fourier transforms, and machine learning.
Research Assistant
Developed neural network models for intelligent control and optimisation of smart grid systems. Achieved 15% improvement in grid performance, enabling USD 10–15M annual cost savings at city scale.
Research Assistant
Engineered and optimised deep neural network models with 70+ million parameters to address high-dimensional AI research problems. Contributed to state-of-the-art algorithm refinement.
Educator
Taught introductory quantum computing and quantum information to groups of more than 20 participants; recognised as the centre's Best Educator of the Year.
Research Intern
Numerical simulations of ionic systems using Python. Quantum-inspired simulations to assess the behaviour of strongly interacting ion ensembles using Qiskit.
UNESCO & GESDA — named one of the 100 most influential individuals in Quantum Information Science globally.
For contributions to science and engineering.
"AI and Its Role in the Second Scientific Revolution" — presented in Romania.
US Embassy, Tashkent — for technologies of the future courses.
Portfolio Risk Management Challenge at the Quantum Finance Competition, Singapore.
Quantum simulation model of Lithium-Sulfur batteries using Variational Quantum methods.
Returned as a mentor for the 2026 edition of the hackathon.
@MIT for four consecutive years. IonQ, ClassiQ challenges.
Three Yale University competitions and Qiskit Fall Fest events at Sungkyunkwan and Yonsei Universities.
Quantum computation, metrology, sensing, cryptography, and information theory.
Deep Neural Networks, Transformers, Diffusion Models, GANs, Reinforcement Learning.
Category Theory, Quiver Representations, TQFT, Chaos Theory. Presented on Categorical Quantum Computation.
Advanced Abstract Algebra, Category Theory, Representation Theory.
Year-long rigorous curriculum in quantum computing theory and applications.
Quantum computation with trapped ions and quantum dots.
QKD, Post-Quantum Cryptography, Attacks on Quantum Devices.
Quantum Computing, Quantum Foundations, Post-Quantum Cryptography, QKD.