Hey, Rajat is an IIT Jammu graduate in Computer Science. Here are some highlights of his background and skills: - Proficient in problem-solving and active on various competitive programming platforms, such as HackerEarth, Codechef, Leetcode, GeeksForGeeks, Hackerrank, etc. - Experienced in programming languages, including C, C++, and Python. - Proficient in Machine Learning with a focus on Python 3. Through self-study and coursework, he has explored various classical ML algorithms, Deep Learning, Reinforcement Learning etc. - Worked on NLP projects using techniques like Bag-of-Words (BoW), tf-IDf, Word2Vec, Transformers, BERT, LLMs etc. - Solid understanding of fundamental Computer Science subjects, including Operating Systems, Database Management Systems, Computer Networks, Object-Oriented Programming Concepts, Deep Learning, and Computer Vision. - Proficient in web development using HTML, CSS, JavaScript, and JQuery. Additionally, he has experience with the MERN Stack (MongoDB, Express JS, React JS, Node.JS). - He has successfully submitted his Master's thesis on "Temporal Action Localization in Untrimmed Videos" using Deep Learning Techniques. - Managed the "Agastya" High-Performance Service at IIT Jammu's Data Center. - Work experience includes internships at Amazon (Applied Scientist Intern), Zomato (Machine Learning Engineer), Ericsson Research GAIA (Data Scientist), Baker Hughes (Software Engineer) etc. Feel free to explore his profiles for more information: Linkedin: https://www.linkedin.com/in/rajatenzyme/ GitHub: https://github.com/rajatenzyme Portfolio: https://rajatenzyme.github.io/