About Me

I am a highly motivated aerospace engineering master's student with a strong focus on computational fluid dynamics (CFD) in high-speed aerodynamics and reentry vehicle analysis. My expertise includes numerical simulations of hypersonic flows, turbulence modeling, and aerothermal effects, with a particular emphasis on shape parameter optimization for reentry configurations. My research and academic projects have provided me with deep insights into aerothermodynamics, mesh sensitivity analysis, and shock-wave interactions in hypersonic regimes.

In my role as a Junior Aeromechanic Engineer at the Warsaw Institute of Aviation (EDC), I have gained hands-on experience in running aeromechanical analyses using ANSYS and GageMap, processing and interpreting large datasets from experimental campaigns, and preparing certification documentation. Working in an international team, I have developed strong collaboration and communication skills, ensuring high-precision results while effectively coordinating with engineers from diverse backgrounds.

As a member of the Students' Space Association - Rocketry Division, I contributed to the aerodynamic analysis of key rocket components, including the split canards of the FOK Rocket and the nose cone and fins of the GROT Rocket. This experience has sharpened my ability to optimize aerodynamic performance, troubleshoot complex simulations, and work under tight deadlines within a dynamic, team-driven environment.

My academic journey has also included practical research projects, such as my Bachelor's thesis on the aerodynamic performance of Falcon 9 grid fins across all Mach regimes. I performed detailed CFD analyses, mesh convergence studies, and post-processing in ANSYS Fluent, which deepened my expertise in high-fidelity aerodynamic simulations.

Beyond technical skills, I bring a proactive and problem-solving mindset, excellent adaptability, and a strong ability to work in interdisciplinary teams. My international project collaborations have strengthened my ability to communicate complex engineering concepts effectively. Additionally, I am highly organized, detail-oriented, and thrive in high-pressure environments that require both analytical and creative problem-solving skills.

Passionate about advancing aerospace technology, I am eager to contribute to innovative projects in spacecraft design, reusability, and aerothermodynamic optimization. Whether working independently or in a team, I am committed to continuous learning and pushing the boundaries of aerospace engineering.

Besides that, in my private time I enjoy travelling, whether it is in my close neighbourhood, Poland, or abroad. Lately I have visited Japan and South Korea, where I could observe differences between culture of western Asia and Eastern Europe. As my next trip I am planning to visit the USA and have the oportunity to watch a rocket launch in real life instead of YouTube 😅.

Tags: #uRANS #DES #LES #ANSYS Fluent #30° AoA

🔥 Lessons Learned

• Hybrid turbulence strategy mastery: I now know how to pick, tune, and justify RANS/DES/LES depending on flow physics, separation behavior, and CPU/GPU availability.
• Mesh art for turbulence: Creating LES-grade meshes meant resolving down to Kolmogorov scales in separation zones—an essential skill for complex simulations.
• Boundary layer resolution obsession: Achieving y⁺ ≈ 1 and watching separation points shift gave me intuitive control over wall modeling and transition detection.
• Real-world turbulence intuition: I developed an eye for what turbulence "should" look like—beyond residuals—based on vorticity patterns.
• Hardware balancing act: Managing LES simulations on a limited setup taught me how to optimize solver settings, post-process on-the-fly, and schedule smart saves.
• Communication under chaos: Turning 6 million cells and 3 turbulence models into one clear comparison table made me better at telling engineering stories.

⬇️ Download Full PDF Report

[ Mesh created ]

[ Unsteady Results ]

Tags: #SST k-w #2D #3D #symmetry #Density based

🚀 Lessons Learned

• Mastering mesh quality: By tuning inflation layers for a y⁺ around 1, I learned firsthand how a well‑constructed mesh can dramatically improve shock capturing and solution stability in supersonic flows.
• Modeling high‑speed air: Setting up correct boundary conditions and gas properties for Mach >1 taught me the nuances of real‑gas effects and how to predict bow‑shock angles with confidence.
• Bow‑shock familiarity: Watching shock waves wrap around grid fins showed me the practical side of oblique‐shock theory—and inspired me to explore control‑surface interactions in highly sonic conditions.
• Deepening CFD theory: Building everything solo—from geometry cleanup to solver setup—gave me a solid grasp of turbulence models (SST k‑ω), convergence criteria, and when to trust residuals versus physical trends.
• Independent problem‑solving: Tackling mesh refinement, solver crashes, and post‑processing challenges alone honed my resilience—and taught me to document each step so future peers (or employers) can pick up where I left off.
• Communicating complexity: Presenting my results to faculty members sharpened my ability to translate dense CFD data into clear, actionable insights—an essential skill for any collaborative engineering environment.