The portfolio effectively demonstrates a rigorous engineering methodology by linking design with empirical validation. The transition from physical systems to data-driven analysis is clearly articulated through projects like the vibration signal analysis and the IST delay dataset. The inclusion of a zero-maintenance GitHub Actions pipeline for data collection highlights an understanding of modern DevOps practices within an engineering context. The comparison of airport punctuality across three major hubs provides a concrete example of applied systems thinking. For a professional looking to understand the engineer's capabilities, the clear presentation of limitations alongside achievements offers a realistic view of the work. The integration of CAD automation with real-world validation further strengthens the case for high-quality engineering output.
Questions about Ahmet Hamza Mülayim
What is Ahmet Hamza Mülayim?
Ahmet Hamza Mülayim is a mechanical engineering student at Marmara University who maintains a personal portfolio website showcasing engineering and data-driven projects, including condition monitoring, robotics, and machine learning work.
What is the flagship condition monitoring project?
The flagship condition monitoring project involves a universal bearing remaining useful life (RUL) study that analyzed 36 bearings across three rigs, including IMS, XJTU-SY, and FEMTO LOBO, to test cross-dataset validation.
How does the live flight tracking feature work?
The aviation data section includes a live 3D globe tracking 130+ Turkish Airlines flights with a 15-second refresh interval using ADS-B transponder data.
How is the Istanbul Airport delay dataset collected?
The Istanbul Airport delay dataset was built by collecting daily append-only CSVs with quality flags using OpenSky and aviationstack data via a zero-maintenance GitHub Actions pipeline.
What are the results of the delay prediction model?
The delay prediction model achieved a 0.742 AUC score in blind testing on a July hold-out set, outperforming a simple 0.711 lookup baseline.
What does the CAD automation project generate?
The CAD automation project features a parametric CadQuery generator that produces 128 real, weldable B-rep STEP solids for ASME B16.9 pipe reducers with zero failures.
What airports were compared in the punctuality study?
The comparison study analyzed 172,000+ departures to determine if Istanbul's busiest-in-Europe traffic is actually less punctual than Heathrow or Frankfurt.
What mechanical design tools are used?
The mechanical design skills include SolidWorks, AutoCAD, Inventor, Creo, and Siemens NX, alongside thermodynamics and manufacturing coursework.
What education and certifications are listed?
The education timeline shows a 2025 start at Marmara University and a July 2026 Certified SOLIDWORKS Design Associate (CSWA) certification verified on Credly.
What is the core approach to mechanical engineering?
The website states the mechanical engineering work is built around design, analysis, and proof, combining physical systems with data like vibration signals and flight records.
What is the roadmap for the delay prediction project?
The portfolio includes a daily pipeline for the IST delay dataset and a roadmap for Phase 2 delay prediction covering hourly, weekly, and monthly data across three airports.
What data and machine learning projects are featured?
The site features an interactive 3D globe visualizing Turkish Airlines flights and a daily dataset on Istanbul airport delays as key data and machine learning projects.
What details are included in the project case studies?
The project case studies provide full engineering work with real numbers and honest limitations, such as the bearing failure prediction using 20 kHz vibration sampling rates.
What is the philosophy behind the projects?
The about section describes the engineer as someone who likes problems that can be built, measured, and tested, combining mechanical design with systems thinking and experimentation.
How can visitors get in touch?
The website provides links to external profiles on GitHub and LinkedIn, along with a contact form for inquiries about the portfolio and projects.
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Wow, the depth of work here is amazing! The cross-dataset validation for bearing RUL and the live ADS-B tracking show serious engineering chops. Is there a specific rate for custom data pipeline setups? The quality of the case studies with real numbers and honest limitations is really impressive. It feels like a great deal for the level of detail provided.
The combination of mechanical design with data analysis seems strong. The live flight data and bearing prediction projects show versatility.
It is really nice to see all the project details laid out so clearly on the site. The live globe for Turkish Airlines flights is a cool touch and shows the work is active. I appreciate that the GitHub repository is linked directly for the traffic observatory tool. It makes it super easy to verify the claims about the bearing prediction models and the pipe reducer generator. The fact that daily datasets are collected via a zero-maintenance pipeline is a nice detail that proves the system works in the background without constant human intervention. It feels very transparent and accessible for anyone wanting to check out the actual engineering work being done.
From the information available, the portfolio presents a remarkably thorough approach to mechanical engineering and data analysis. The inclusion of real projects rather than just a resume suggests a genuine commitment to practical application. The cross-dataset bearing RUL study and the live flight tracking system demonstrate a sophisticated understanding of both physical systems and computational methods. It is encouraging to see honest limitations included in the case studies, which adds credibility to the technical claims. The focus on vibration signals and flight records indicates a strong analytical foundation. For someone considering this engineer's capabilities, the evidence of hands-on experience with UGV competitions and CAD automation is compelling. The clear connection between design, analysis, and proof appears well executed.
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Ahmet Hamza Mülayim is a mechanical engineering student at Marmara University who maintains a personal portfolio website showcasing engineering and data-driven projects. The site presents work in condition monitoring, including bearing remaining useful life prediction across multiple datasets, and a robotics project involving an unmanned ground vehicle competition. It also features data and machine learning projects such as an interactive 3D globe visualizing Turkish Airlines flights and a daily dataset on Istanbul airport delays. The portfolio includes an about section, project case studies, and links to external profiles on GitHub and LinkedIn.
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