I build scalable, intelligent software that connects high‑performance computing, machine learning and cloud‑native systems.
Designing and optimising parallel applications using MPI, CUDA and OpenMP. Building scalable HPC pipelines on clusters and cloud platforms with thorough performance benchmarking and tuning.
Developing end‑to‑end AI solutions with PyTorch and TensorFlow, including deep learning architectures for computer vision and natural language processing, and deploying models for real‑world inference.
Building robust Applications and APIs with Python, C++ and Java. Automating workflows with CI/CD pipelines, Docker and Kubernetes to ensure reliable, reproducible deployments.
Creating responsive full‑stack web applications using Node.js, React and modern web technologies. Implementing on‑page and technical SEO strategies to improve website visibility and user experience.
I’m a Master’s student in High-Performance Computing at the University of Luxembourg, working at the intersection of HPC, AI/ML, and cloud-native systems. My projects range from regression testing HPC clusters to AI applications like RepoFinder AI, real-time lip-reading, and spatio-temporal video analysis — bridging research with practical solutions.
An automated regression testing suite to validate and monitor MPI communication performance on HPC clusters using ReFrame and OSU Micro‑Benchmarks. Identified performance anomalies and optimized software stacks, ensuring stable, high‑performance communication fabric.
View on GitHub
Fine‑tuned a state‑of‑the‑art R(2+1)D‑18 model to detect violent actions in video streams. Engineered data pipelines and training strategies to overcome overfitting and numerical instability, delivering real‑time inference.
View on GitHub
Designed a custom CNN+LSTM architecture in PyTorch to translate live lip movements into text in real‑time. Implemented CTC loss, data preprocessing and end‑to‑end deployment for a complete lip‑reading system.
View on GitHub
A full‑stack search application that uses a dual‑AI pipeline — a Llama‑based reasoning agent and a Sentence Transformer — to translate natural language ideas into precise queries and discover relevant GitHub repositories.
View on GitHub
Seasonal Student Employee
SnT – Interdisciplinary Centre for Security, Reliability & TrustFacilitated the integration and sustained maintenance of APIs to support efficient system operations. Implemented revised disclosure forms, automated dataflows to reduce manual workload, and maintained IP documentation while assisting with FOSS compliance pipelines. Collaborated closely with the SnT team to streamline processes and support technology transfer activities.
Student Employee
SnT – Interdisciplinary Centre for Security, Reliability & TrustMaintained and updated the IP asset database to support technology transfer operations. Acted as the first point of contact for researchers submitting IP notifications, reviewed and processed disclosures and annexes, ensured data integrity and compliance with internal IP procedures, and collaborated with technology transfer officers to resolve complex queries.
Student Employee
University of LuxembourgAssisted in research projects related to metrics evaluation in Python. Tested and validated command‑line tool functionalities, provided feedback to enhance functionality, and helped improve documentation for a better user experience.
Full-time Employee
Bizcope BDConducted comprehensive keyword research, executed on‑page SEO strategies and technical audits to enhance client website rankings. Collaborated with content and development teams to align SEO best practices and monitored performance metrics for continuous improvement.
Student Employee
North South UniversityConducted tutorials and lab sessions for programming courses such as C, C++ and Data Structures & Algorithms. Graded assignments, mentored students and helped design course materials and assessments.