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Computational Engineer | Applied Machine Learning | Additive Manufacturing
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Fraunhofer IWS
Data Scientist
June 29, 2026 – Present
AM400-Multimodal-Monitoring
April 21, 2026 – Present
Real-time force-sensor acquisition and anomaly detection for a Renishaw AM400 LPBF 3D printer, with automated alerting and Fiji/ImageJ-based camera image analysis for pore quantification and edge detection.
View Projectmbs-simpack-simulation
April 21, 2026 – Present
Multi-body system simulations built in SIMPACK — covering rigid-body dynamics, forced vibration, contact mechanics, slider-crank mechanisms and quarter-car suspension.
View Projectcnc-thermal-digital-twin
April 21, 2026 – Present
Physics-based reduced-order digital twin for thermal error correction in a 5-axis CNC machine. Built at Fraunhofer IWU as part of the AiF-funded HybKorr project.
View Projectsydney-harbour-bridge-fem-analysis
April 20, 2026 – Present
Multi-physics FEA of the Sydney Harbour Bridge using ANSYS — CFD wind simulation, static structural analysis, and modal frequency extraction.
View Projectfem_solver
April 20, 2026 – Present
2D finite element solver built from scratch in Python — mesh generation, P1 elements, quadrature, and stiffness matrix assembly for reaction-diffusion PDEs
View ProjectCAD-Portfolio
April 20, 2026 – Present
Engineering CAD portfolio: UAV, aircraft, scissor lift, and bridge models designed for FEA and CFD simulation.
View ProjectMorphing-Wing-UAV
April 20, 2026 – Present
Design, CFD simulation, and physical testing of a camber-morphing wing UAV using a servo-actuated slider-pin mechanism — achieving 15% higher aerodynamic efficiency over conventional flaps. Built with PTC Creo, JavaFoil and ANSYS Fluent.
View Projectautonomous-ml-agent
April 20, 2026 – Present
LangGraph ReAct agent that autonomously runs EDA, trains and evaluates ML models, logs to MLflow, and generates a report from any CSV dataset. Built with LangChain, Celery, FastAPI, and Docker.
View Projectsurrogate-modeling-thermal-ML
April 16, 2026 – Present
Neural surrogate models (ROM+MLP and PINN) for transient thermal field prediction in DED additive manufacturing — serving as a 2D proof-of-concept toward replacing 30-minute, 2.5M-element FEM simulations of a real large-scale structural component. Evaluated under strict temporal extrapolation: R2= 0.910, RMSE= 36.8°C, inference in 0.38s.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on engineering, physics, and scientific machine learning, which aligns well with a Data Scientist role in a research-intensive or engineering-focused organization. The diversity of projects (mechanical, aerospace, manufacturing) suggests adaptability and a broad technical curiosity. However, the lack of collaborative projects or team-oriented descriptions makes it difficult to assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong technical focus and ability to execute complex projects independently.