Results-driven Optical Engineer with over 3 years of experience in the full-cycle development of complex optical systems for global OEMs (VW Group, Mercedes-Benz or LUCID). Expert in bridging the gap between technical feasibility and commercial requirements, managing projects from initial RFQ through to Serial Production (SOP). Combines a strong background in Physics with an MBA in Project Management to deliver high-quality, customized optical solutions.

A Nigerian and Saudi Arabian licensed Optometrist, 32 year old, male of Nigerian origin, well trained in Optometric practice and skilled in the use of Optometric equipments and delivery of satisfactory eye care services with about 4 years of practice in both Nigeria and Saudi Arabia. Excellent sales skills, very warm personality and above all a very fast learner with an eye for excellence.

My name is Alao Habeeb. I'm a dispensing optician with three years of experience in providing exceptional eyecare services. With a passion for helping others see the world with clarity and comfort, i am dedicated to delivering personalized care and attention to detail. Skilled in dispensing eyewear, conducting eye exams, and providing expert advice on eyecare products.

services. With a passion for helping others see the world with clarity and comfort, Jane is dedicated to delivering personalized care and attention to detail. Skilled in dispensing eyewear, conducting eye exams, and providing expert advice on eyecare products, Jane is committed to making a positive impact on the lives of patients."

I hold a PhD in Optics with extensive international experience in photonics, optical instrumentation, and microscopy both in academia and industry. My expertise is in applied optical research, managing complex projects from concept to working prototype. This includes all phases—optical simulation, system design, experimental validation, data analysis, and software development for synchronized control of multi-device setups. I have led and contributed to multiple research projects, both independently and within collaborative teams. I also have experience supervising technicians and interns, and contributing to strategic technology planning and roadmap development.

I am a Photonics engineer currently working in Cleanroom

A highly accomplished and innovative Optical Design and Simulation Engineering Consultant, Rafael de la Fuente Herrezuelo excels at the forefront of nanophotonics and metasurface technology. His career journey is defined by a deep commitment to advancing optical science through rigorous research, sophisticated numerical methods, and impactful software development. Holding a Degree in Physics (Hons. BSc), where he distinguished himself in Advanced Electrodynamics, Advanced Optics, and Computational Physics, Rafael built a robust theoretical foundation, culminating in a thesis on the design and modeling of structured light beams using phase holograms.

Rafael demonstrated early initiative as a Self-Employed Software Developer, creating open-source simulation tools, including the flexible Diffractsim Python diffraction simulator and the QMsolve Schrödinger equation numerical solver. These highly impactful tools garnered thousands of users worldwide, showcasing his prowess in developing widely adopted technical solutions.

His expertise deepened at NIL Technology (NILT), a leader in advanced optical components. As a Student Intern, he investigated and implemented the Discontinuous Galerkin finite element method (DGFEM) for Maxwell equations for high-precision optical metasurface characterisation. During this traineeship, he also proposed and implemented a novel method for the large-scale inverse design of diffractive optical elements, highlighting his capacity for groundbreaking contributions.

Since May 2022, as an Optical Design and Simulation Engineering Consultant at NILT, Rafael has driven revolutionary advancements in optical design methodologies. He is instrumental in the setup, development, testing, and maintenance of cutting-edge electromagnetics and nanophotonics numerical simulation tools, including Rigorous Coupled Wave Analysis (RCWA), Finite Difference Time Domain (FDTD), Finite Difference Frequency Domain (FDFD), Finite Element Method (FEM), and Beam Propagation Method (BPM). His responsibilities encompass numerical simulations, optimization iterations, and tolerance analysis of optical nanostructures, utilising high-performance computing. Rafael’s innovative approaches, particularly his novel design methods and machine learning models for the inverse design of diffractive and metasurface optical elements, have generated significant value, saving NILT several hundred thousand euros. He proficiently performs data analysis of simulations and measurements, fitting mathematical models with experimental data and troubleshooting complex issues.

Key projects include generalising the Jacobi-Anger expansion within FDTD simulations for the characterisation and inverse design of large-scale diffractive lenses applied to VCSELs, with results rigorously verified against experimental measurements. He has also significantly contributed to collaborations with the Technical University of Denmark (DTU) on collimated beam shaping using non-imaging metasurfaces, presenting his work at a prestigious SPIE Photonics conference. His technical understanding and abilities are notably comparable to the best in the field, surpassing many PhD-level researchers.

Rafael’s comprehensive skill set spans Physical Optics and Nanophotonics, Scientific Computing, Machine Learning, Data Analysis, Software Development (Python, C++), Research & Development, and advanced numerical methods, including the design and training of neural network models. With advanced English proficiency, he is poised to continue pioneering advanced optical solutions and contributing to cutting-edge research in the field, as evidenced by his ongoing collaboration on 2D Optical Materials Engineering and Physicswith DTU.

Keywords: Optical Design; Nanophotonics; Metasurfaces; Diffractive Optics; Numerical Simulation; RCWA; FDTD; FEM; BPM; Machine Learning; Inverse Design; Scientific Computing; Data Analysis; Software Development (Python, C++); Research & Development (R&D); Quantum Optics; Photonic Crystals; Beam Shaping; Electromagnetics; Optimization; Tolerance Analysis; Scientific Visualization; High-Precision Characterization; Metamaterials.