Hi, I'm Dinesh 👋
AI/ML Engineer — Aerospace Simulation | Surrogate & Reduced-Order Modelling · CFD · FEA · Automation
📍 Bengaluru, India
🎓 MSc Aerospace, University of Salford (UK) · BTech Aerospace, Karunya Institute
🛠️ Python (ML/Automation) · ANSYS · MATLAB/Simulink · XFLR5 · OpenFOAM · CATIA V5 · Docker
📄 Download my CV 🔗 LinkedIn 📧 dineshnatarajan02@gmail.com
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🚀 Featured Projects
Project Tools Result
⭐ ML Surrogate for NLF Airfoil Performance Python · scikit-learn R² = 0.998 · ~10⁶× faster than XFLR5
Aircraft Flight Dynamics — Cessna 172 MATLAB/Simulink State-space 4-DOF · MIL-SPEC CAP verified
NLF Airfoil CFD XFLR5 ~44% L/D improvement, ~42% drag reduction
Aircraft Engine Bracket FEA ANSYS Topology optimisation · ~12–15% mass reduction
Twin-boom UAV Design SolidWorks · XFLR5 Sub-5kg MTOW · 0.5kg payload surveillance
📜 Certifications
Machine Learning Specialization (Supervised Learning, Neural Networks, TensorFlow) DeepLearning.AI / Stanford Online 2026
Airbus Supply Chain Specialist Airbus Beyond May 2026 📄 View
Master Diploma in Product Design (CATIA V5 · SolidWorks · GD&T) CADD Centre Jan 2022 📄 View
🎓 Education
MSc Aerospace Engineering — University of Salford, Manchester, UK (2021–2023) · 2:1
BTech Aerospace Engineering — Karunya Institute of Technology and Sciences, Coimbatore (2017–2021) · 2:1
💼 Experience
Simulation & Automation Engineer (Contract) · Alignerr (Labelbox), Remote (Jun 2026 – Present)
Build physics-grounded simulation environments in Python to train and evaluate AI/ML models on engineering problem-solving across structural mechanics, non-linear response-history, and CFD. Design reinforcement-learning task and evaluation environments, grading model outputs against strict, quantified engineering criteria anchored to validated reference (oracle) scripts. Automate end-to-end workflows — solver setup, execution, data extraction, and post-processing — in Docker with CI/CD gates for reproducible, statistically robust evaluation. Extended the automation framework across domains, including OpenFOAM-in-Docker for CFD flow-control and vortex-suppression verification.
Product Design Engineer — Intern · Black Space Research and Development, Bengaluru (Oct 2020 – Mar 2021)
Mechanical design and structural analysis of prototype components using ANSYS, CATIA V5, and SolidWorks. PFMEA, root cause analysis, integration and validation activities, technical documentation aligned with design traceability standards. Performed Linear Static Analysis of Rear Underrun Protection Device (RUPD) using HyperMesh and Abaqus/OptiStruct for automotive safety validation. Conducted CAD modeling, meshing, and stress/displacement analysis across 3 load cases with maximum stress maintained near material yield limits (~230 MPa). Improved understanding of CAE workflows, boundary condition setup, and structural performance evaluation for safety components.
Open to AI/ML + simulation engineering opportunities in aerospace and adjacent domains. Reach out via LinkedIn or email.