Kashyap Gautam Siddharth

Born and raised in New Delhi, India, Gautam has always had a passion for innovation and solving real-world optimization problems. He possesses a strong love for learning, continuously seeking knowledge and self-improvement. His entrepreneurial mindset and creativity drive him to seek unconventional solutions to problems. Gautam is an accomplished student, having earned a Bachelor's degree in Computer Science with the highest GPA in his class and currently pursuing a Master's degree in Computer Applications. His thesis work on optimizing artificial neural network training using metaheuristics has been published, highlighting his exceptional research abilities. In addition to his academic achievements, Gautam has gained valuable experience through various internships and freelance work. He has worked as a computer programmer, web developer, and research assistant in different organizations, showcasing his diverse skill set and adaptability. Outside of work and academics, Gautam is a total jock, working out daily to maintain his physical health. He has a deep commitment to his country and supporting the military and veterans. He also has a love for literature and is dedicated to his close friends. Overall, Gautam is an insatiably curious, driven, and talented individual who has already made significant contributions in his field and is poised to make even greater impacts in the future. He is an aspiring data scientist and programmer with a keen interest in the application of artificial intelligence (AI) and machine learning (ML) to real-world problems. His journey in the field of computer science began when he was introduced to programming languages such as C, C++, and Python during his academic years. He has a strong foundation in programming languages, including web development technologies such as HTML, CSS, and PHP. Additionally, he possesses a technical skill set that includes data structures, machine learning, deep learning, and data science. His proficiency in these tools and technologies has been refined through the utilization of resources such as Google Colab, Jupyter Notebook, Github, and Microsoft Office. He has also completed several certification programs that have enabled him to improve his skills in specific areas. These certifications include Python Training, C and CPP, English for Employability, and a PHP Workshop Certificate. These programs have not only improved his technical abilities but have also equipped him with relevant problem-solving and communication skills. He is also proud to have been recognized for his achievements in various fields, including academics, sports, and art. He has received certificates of participation in international and national-level competitions, such as the International Equanimity Olympiad, the Smart Kid General Knowledge Olympiad, and a Painting Competition. Additionally, he has earned a Bronze Medal for Academics and a Silver Medal for Sports during his school years. His research interests lie in the application of metaheuristic approaches such as Particle Swarm Optimization (PSO) to real-world optimization problems. Additionally, he is passionate about utilizing AI and ML in fields such as agriculture, healthcare, and medical-related domains. He is also interested in exploring the concept of explainable AI and usable security.