I thrive on pushing the limits of what is possible on modern CPUs and GPUs. As a PhD researcher in High-Performance Computing with over eight years of experience in C++ and Python, I specialize in building high-throughput, performance-critical systems. My work spans low-latency trading pipelines and massively parallel scientific simulations.

I have contributed to core backend systems for global stock exchanges and developed a C++ domain-specific language that accelerates nuclear fusion simulations across thousands of CPUs and GPUs. My technical toolkit includes MPI, OpenMP, CUDA, HIP, and SYCL. I am also skilled in distributed computing, performance profiling, source-to-source code transformation, and optimization on Linux systems.

I am passionate about solving complex engineering problems, where software performance and scalability matter most. I enjoy working on systems that combine deep technical challenges with real-world impact, particularly in simulation technologies and financial infrastructure.

• Heterogeneous Computing and Portable Parallel Programming.
• Domain-Specific Simulation Frameworks and Source-to-Source Translation.
• CPU/GPU Programming & Optimization.
• Particle-in-Cell (PIC) simulations and Numerical Solvers in Simulation Pipelines.
• Performance benchmarking and Analysis.

• Specialist Software Engineer – 4.5+ years designing and developing low-latency software solutions for fintech applications.
• IT Research Assistant – 6 months conducting research on human group detection through video processing.

• PhD in Computer Science (High-Performance Computing), University of Warwick, United Kingdom (July 2025).
• BSc Engineering (Hons) in Electronic and Telecommunication, University of Moratuwa, Sri Lanka.
• Advanced Level (Mathematics Stream), Isipathana College, Colombo, Sri Lanka.

• IBM AI Engineering Professional Certificate – Coursera (in progress)
• Machine Learning Specialization – DeepLearning.AI, Stanford and Coursera (Certificate)
• Fundamentals of Accelerated Computing with CUDA Python – NVidia (Certificate)

👨‍💻 Programming Languages:
C/C++, Python, Java, Scala, C#

⚙️ Parallel Programming & HPC:
Threads, OpenMP, MPI, CUDA, HIP, SYCL, Kokkos, Legion

🖥️ Hardware:
CPUs: Intel, AMD || GPUs: NVIDIA, AMD, Intel
Tested on: LUMI-G, ARCHER2, DiRAC-Tursa, Sulis, Bede • Avon

🐞 Profiling & Debugging:
Intel VTune, Intel Advisor, Valgrind, GDB, Arm Forge DDT, Nsight Compute/ nvProf, ROCm Profiler

🧪 Build & CI/CD Tools:
CMake, Make, Jenkins, Bamboo, Git, Spack, Docker, SLURM

🔍 Testing & QA:
GTest, JUnit, JBehave

🗄️ Databases & Documentation:
Oracle, PostgreSQL, Confluence, JIRA

📊 Data & Analysis:
MATLAB, Pandas, NumPy, Matplotlib

• 📧 zaman.lantra@gmail.com | zaman.lantra@warwick.ac.uk
• 💼 LinkedIn
• 🧑‍💻 University Profile