Results-driven professional with a robust background in sales and a proven commitment to continuous learning, currently enhancing technical expertise through a Master of Engineering in Smart Manufacturing. Skilled at organizing processes, optimizing pathways to resolve challenges, and delivering results that exceed expectations. Combines advanced technical skills in G-code for CNC, Python programming, Visual Components, and AnyLogic simulation with a customer-focused mindset and strong interpersonal abilities honed in sales roles.
This unique blend of technical and people-oriented expertise enables an integrated approach to problem-solving, fostering collaboration, and driving innovation. Eager to apply this synergy to improve operational efficiency, streamline processes, and create meaningful value in dynamic, technology-driven environments.
Prediction and Optimization of Surface Roughness and Kerf Width in AWJM Using Soft Computing Tools, published in Recent Advances in Industrial and Systems Engineering (Springer, 2024) – Utilized Adaptive Neuro-Fuzzy Inference System (ANFIS) to model the relationship between abrasive flow rate, stand-off distance, and traverse speed for optimizing kerf width and surface roughness in AWJM.
https://link.springer.com/chapter/10.1007/978-981-97-4700-9_30