I am a Computational Engineer and Physicist with experience across research, product and systems development, simulation, scientific computing, software development, automation, and applied AI.
I enjoy working on problems that connect physical systems with digital tools. My work has involved building simulation models, engineering software, automation workflows, backend services, and AI-based applications.
I have worked with multidisciplinary and distributed teams in both industrial and research environments. I always look for opportunities where my work drives global change.
Engineering: Digital Twins · Systems & Product Development · System Simulation · Scientific Computing · Engineering Software
Innovation: Research & Prototyping · Automation · Generative AI · Machine Learning · Verification & Validation
Software Development ▸ Click to expand
Languages: Python · C# · C++ · C · Fortran · MATLAB · JavaScript · Java · Go · Shell
Backend & APIs: .NET Core · Django · Flask · Node.js · REST APIs · Service Integration · Microservices · Modular Backend Services · Serverless Applications
Frontend: React · HTML5 · CSS3 · Bootstrap
Architecture: OOP · SOLID · Clean Architecture · Modular Design · Design Patterns · UML
AI, Machine Learning & Data ▸ Click to expand
Frameworks: PyTorch · Keras · Hugging Face · LangChain
AI & ML: LLMs · Transformers · RAG · AI Agents · Prompt Engineering · Fine-Tuning · NLP · Machine Learning
Data & Analytics: SQL · BigQuery · Tableau · RStudio · Simulation Data Analysis · Predictive Modelling · Engineering Data Processing · Data Validation
Scientific Computing & Simulation ▸ Click to expand
Methods: Numerical Methods · Solver Development · Parallel Computing · HPC · CFD · Multiphysics Simulation · System-Level Modelling · Verification & Validation · Performance Profiling
Tools: STAR-CCM+ · Amesim · COMSOL · Abaqus · ANSYS · OpenFOAM · 3DEXPERIENCE · HyperWorks · Simulink · Simscape · Dymola / Modelica · FMU · APDL · ParaView
DevOps, Cloud & Delivery ▸ Click to expand
Platforms: Docker · Kubernetes · OpenShift · AWS · Linux
CI/CD: Git · GitHub Actions · Azure DevOps · Tekton · Containerized Deployment
Monitoring: Prometheus · Grafana · Monitoring & Observability
Quality & Delivery: Application Security · Unit Testing · Integration Testing · TDD · BDD · Rapid Prototyping · Performance Optimization · Technical Documentation · Agile · SAFe · Scrum
- I prefer simple and maintainable solutions.
- I value clear documentation and reproducible workflows.
- I try to validate models and software against real engineering requirements.
- I enjoy working with people from different technical backgrounds.
- I like learning new tools when they are useful for solving a problem.
| Project | Highlight | PR | Article |
|---|---|---|---|
| Mastra | Added minimal persistence for agent tool approvals, reducing persisted checkpoint size while supporting restart-safe approval workflows | #21276 | Read on Medium |
| NVIDIA Warp | Added support for executing Warp definitions directly from source strings | #1715 | Read on Medium |
| NVIDIA Warp | Fixed a race condition in parallel CPU module loading with JIT synchronization and regression coverage | #1710 | Read on Medium |
IBM Generative AI Engineering Professional Certificate
LLMs · Transformers · PyTorch · Hugging Face · RAG · LangChain · AI Agents · Fine-Tuning
IBM Applied DevOps Engineering Professional Certificate
Agile · Microservices · Docker · Kubernetes · OpenShift · Testing · CI/CD · Security · Observability
