- 🎓 Master's in High Performance Computing (HPC)
- 💼 Junior Solution Engineer specializing in AI solutions for HPC-Cloud integration
- 🔬 Bridging high-performance computing with cloud services through intelligent solutions
- 🌱 Currently expanding my expertise in distributed systems and cloud HPC solutions
- 🤖 Passionate about leveraging AI to optimize computational workflows across hybrid infrastructures
- Parallel Computing: OpenMP, MPI, CUDA
- Performance Analysis: Profiling and optimization tools
- Cluster Computing: Job schedulers (SLURM, PBS)
- Scientific Computing: Numerical methods and algorithms
- Cloud Platforms: AWS, Azure, Google Cloud Platform
- Hybrid Computing: HPC-Cloud workload orchestration
- AI/ML Frameworks: TensorFlow, PyTorch for HPC optimization
- Container Orchestration: Kubernetes, Docker Swarm
- Infrastructure as Code: Terraform, CloudFormation
- Version Control: Git, GitHub
- Build Systems: CMake, Make
- Debugging: GDB, Valgrind
- Containerization: Docker, Singularity
- AI-Driven HPC Solutions: Developing intelligent systems to optimize HPC workloads
- Cloud-HPC Integration: Building bridges between traditional HPC clusters and cloud infrastructure
- Hybrid Computing Architectures: Designing seamless workflows across on-premises and cloud environments
- Performance Intelligence: Using AI to predict and optimize computational resource allocation
Bridging HPC and Cloud through AI Solutions
I specialize in creating intelligent solutions that connect traditional high-performance computing with modern cloud services. My work focuses on:
- Intelligent Workload Management: AI-powered job scheduling and resource allocation
- Hybrid Infrastructure Optimization: Seamless integration between HPC clusters and cloud platforms
- Performance Prediction: Machine learning models for computational efficiency forecasting
- Cost Optimization: Smart algorithms for balancing performance and cloud computing costs
- Solution Engineering: Translating complex HPC requirements into scalable cloud-native solutions
- AI-Enhanced HPC: Machine learning for computational optimization
- Cloud-Native HPC: Modernizing traditional HPC workflows for cloud environments
- Hybrid Computing: Multi-cloud and edge-to-cloud HPC strategies
- Solution Architecture: Designing end-to-end computational solutions
- Performance Analytics: Data-driven approaches to HPC optimization
- 💼 Open to collaboration on HPC-Cloud integration projects
- 🤝 Available for consulting on AI solutions for computational challenges
- 📧 Always interested in discussing hybrid computing architectures
- 🌐 Eager to explore innovative approaches to HPC modernization
Most of my favorite projects are private repositories where I experiment with cutting-edge AI techniques for HPC-cloud optimization and develop intelligent solutions for computational challenges! 🚀
"The future of computing lies in intelligently bridging traditional HPC power with cloud flexibility."