Hello, I'm Hritik Valluvar, a dedicated individual with a passion for learning and problem-solving. My academic journey has taken me from a Bachelor's degree in Computer Science to pursuing a Master's in Artificial Intelligence and Machine Learning at the

trong Educational Background: Completed a Master of Science in Artificial Intelligence & Machine Learning from the University of Birmingham, United Kingdom, showcasing a solid foundation in advanced mathematics and computational skills. High Academic Achievement: Achieved a cumulative GPA of 9.42/10 in Bachelor of Technology in Computer Science & Engineering from SRM Institute of Science & Technology, India, demonstrating a deep understanding of mathematical concepts. Data Science Practitioner: Utilized advanced mathematical techniques in 13 months of work experience as a Data Science practitioner, developing and implementing Natural Language Processing and Computer Vision models. Adaptive Problem-Solving: Proficient in using mathematics as a tool for analytical and problem-solving challenges, evident in roles such as Research Intern at Nanyang Technological University and Research Intern at Samsung R&D Institute India-Bangalore. Model Evaluation and Enhancement: Successfully transformed models, conducted evaluations, and improved outcomes through mathematical analysis, as demonstrated during your internship at Nanyang Technological University. Statistical Analysis Skills: Profound understanding of statistical methods, evident in the preparation of an Automatic Speech Recognition system for English-Tamil code-switching identification during your internship at Samsung R&D Institute India-Bangalore. Educational Innovation: Developed and fine-tuned a convolutional neural network as part of a diet planner app, showcasing your ability to apply mathematical techniques for optimization and accurate classification. Mathematics Outreach: Led as Executive Lead and Founder of the CodeChef SRM Chapter, organizing hackathons, coding competitions, webinars, and seminars with more than 100 participants, illustrating your leadership and communication skills in promoting mathematics education. Practical Application of Mathematics: Created a Halloween makeup web app involving facial landmark detection, Delaunay triangulation, and affine transformation for realistic mask generation, showcasing your ability to apply mathematics in creative contexts. Programming Proficiency: Possess strong programming skills, including C/C++ and Python, which can aid in teaching mathematics through coding exercises and examples. Machine Learning Expertise: Experience with TensorFlow, PyTorch, SciPy, and other machine learning technologies can enable you to bridge mathematical concepts with the