I am a Master of Science in Computer Science graduate with a strong theoretical and practical knowledge base. My recent experience at EV Thermal Flow Solutions as a Computer Science Support, I deepened my expertise in advanced control algorithms, mastering PWM feedback motors, CAN and LIN communication protocols, and intricate circuit design. My pivotal role not only led to the optimization of coolant flow, boosting EV thermal efficiency, but also bridged crucial collaborations with industry leaders like Robertshaw. My versatility shone as I adeptly navigated both technical challenges and corporate board meetings. Leading the forefront of actuator control development, I played a key role in elevating EVTFS's innovative EV cooling system to new heights.In a prior research initiative, we leveraged Deep Learning for medical early detection, emphasizing CNNs. Despite achieving an 88% accuracy rate, computational challenges arose. By integrating pre-trained models and ensemble techniques, we enhanced accuracy to 89.52%, though complexities persisted. Recognizing the scope for broader machine learning methodologies, we've laid the groundwork for future AI innovations in balancing accuracy with computational efficiency in medical diagnostics. Our endeavors underscore the continuous evolution and innovation in the field of AI, highlighting the balance between achieving high accuracy and ensuring computational efficiency. As we forge ahead, I'm excited about the prospect of further refining our models, drawing from our past learnings and pushing the boundaries of what's achievable in medical diagnostics.In terms of my academic achievements, I have gained proficiency in programming and scripting languages like C, C++, MATLAB, R, VBA, SQL, and Python, and expertise in machine learning, data structures, algorithms, and deep learning. My accomplishments include a peer-reviewed research paper on Twitter Cyberbullying Detection using Text Classification, and several projects showcasing my skills in machine learning, image processing, regression analysis, robotics, and web-based client-server programming.I am eager to continue my professional journey, leverage my diverse skill set, and make a significant impact in the field.