Project Title: “Hyperbolic Anisotropic Crystal Engineering for Enhanced Light-Matter Interactions”. Gained hands-on experience with Fourier Transform Infrared (FTIR) spectroscopy and Attenuated Total Reflectance (ATR) spectroscopy to characterise infrared optical properties of anisotropic crystals and manipulate hyperbolic polariton dispersion.Developed a Python application integrating TensorFlow GPU acceleration for calculating transmission and reflection coefficients in crystals.Best Student Poster award at the PIADS 2023 conclave: "Modulating Surface Waves in Quartz via Anisotropy Orientation."Managing annual £10,000 budget for PhD project.Completed a mini-project at Queen's University exploring the use of thin film lithium niobate for tabletop nuclear fusion with net positive energy generation.Participating in Quantum Leap, a UK-based program for commercialising quantum and optical technologies, run by AnchoredIn. Training in networking, pitching, goal setting, and foundational startup skills. Engaging in collaborative exercises and tutorials to develop a commercial mindset and strategic positioning for research and business ideas.Gaining insights into traditional and non-traditional funding approaches, along with essentials of business startup legalities and regulations.Benefiting from an exclusive trip to San Francisco for SPIE Photonics West, including pre-mission training and pitch practice sessions for business networking.Receiving ongoing mentoring and expert guidance to refine business ideas and gain commercial insights.

Proven track record in boosting student performance (average 25% grade increase), reflecting my ability to set goals and achieve measurable results.Tailored tutoring approaches for diverse learning styles, highlighting my adaptability and customer-focused mindset.Managed all aspects of a self-employed tutoring business, developing entrepreneurial skills in client relations, scheduling, and self-promotion.

Facilitated by ECME - Eastern Corridor of Medical Engineering.Received qualifications:1. Fundamentals of Computer Vision2. Accelerated Computing with CUDA Python3. Deep Learning for Healthcare Image Analysis4. Fundamentals of Deep Learning for Multi-GPU