I work where physics blurs into code — designing quantum algorithms, shipping software, and building curious things in between. A jack of many trades, in superposition until you measure.
I hold many states at once — physicist, engineer, builder, teacher — and which one you find depends on the question you ask. Look closely at any of them, collapse onto a single facet, or let a measurement choose. The states you don’t observe are no less real.
Nothing here is fixed yet — every facet is true at the same time. Look closely at one to preview it, choose one to collapse the rest, or let a measurement decide. The states you don’t observe are no less real.
A PhD candidate in Quantum Computing at the University of Oran 1 (LIO), with an MSc in Quantum Computation. My research sits at the meeting point of quantum algorithms and artificial intelligence.
As a research intern at CQTech, I benchmarked six optimizers for Variational Quantum Eigensolvers across statevector and noisy simulations (FakeCairo / FakeBelem) — engineering a parallelized, shot-based Qiskit framework with a custom AQNGD optimizer and releasing a reproducible suite of NISQ-era optimization guidelines.
Eight years of freelance building — automation, AI development, systems administration and full-stack engineering. The toolkit that turns ideas into things that run.
A selection from years of building — across finance, optimization, ML, infrastructure and education.
A Qiskit research application for Variational Quantum Eigensolvers — a PyQt dashboard with a molecule → reference → ansatz → estimator pipeline, multi-optimizer runs across statevector and noisy backends, Optuna hyperparameter studies tracked per optimizer, session management and a unified plotting & analytics suite.
A tick-aware backtesting & strategy-optimization platform. A Backtrader execution engine with Optuna parameter search, scikit-learn walk-forward ML signals, weighted multi-job portfolios and report export — all driven from a PyQt desktop workspace (Setup · Review · Live Monitor), with real and synthetic tick modes and live/dry-run execution.
A high-performance solver for the C(60,15,6) covering-design problem. GPU-accelerated simulated annealing (CuPy · CUDA · NVRTC) with a custom barrier temperature schedule and closed-form colex ranking — alongside quantum (VQE) and geometric (manifold · torus) solver variants, iterated across dozens of builds to cut round time from ~43 to ~7 minutes.
End-to-end automation with Ansible, Jenkins and Terraform across AWS, GCP and Azure — plus hardened Linux servers, automated backups and containerized environments on Docker & Kubernetes.
Led full-stack development of a learning platform in Java (Spring Boot) — owning architecture, UX and deployment from the ground up.
Jupyter notebooks and quantum algorithms crafted for hackathons, workshops and open-source resources — making the strange rules approachable.
A commercial desktop product for veterinary clinics — a three-tier application (Django REST API · React 18 + Material-UI · Electron 28) bundled into a single Windows installer. Point-of-sale with auto-generated bills, inventory with fractional stock, clients, pets & livestock with reproduction-cycle tracking, suppliers & orders, cash-register sessions, analytics and offline-first backup/restore — with JWT auth, ECDSA-signed licensing and a bilingual FR/EN interface.
Researching hybrid quantum-AI models at the intersection of quantum algorithms and machine learning.
Benchmarked six VQE optimizers across statevector and noisy simulations; engineered a parallelized Qiskit framework and a custom AQNGD optimizer with reproducible NISQ-era guidelines.
Eight years building for clients worldwide — the throughline behind every project above.
Certificates & participation
Languages
Open to quantum research collaborations, software work, and interesting problems anywhere on the spectrum.