About

Arunkumar L is a final year undergraduate student with a passion for Artificial Intelligence development, Machine Learning research, Computer Vision, Natural Language Processing (NLP), and Robotics. With over 3+ years of experience in Python, Machine Learning, and Deep Learning, he is well-versed in TensorFlow and PyTorch frameworks. Arunkumar has worked on Flask, FastAPI, Google Cloud Platform, and Amazon Web Services, primarily focused on machine learning development. Arunkumar has a penchant for developing fun projects that make life easier for people, such as TensorDash, a project that helps AI researchers save time by remotely monitoring their models. He also works on projects that use Machine Learning and Artificial Intelligence to tackle major world issues like climate change, privacy problems, and social problems. Arunkumar is a quick learner and enjoys learning new things and niche concepts of Artificial Intelligence like Federated Learning, Graph Neural networks, Fairness in AI and AI bias, TinyML, and AI in Finance. He recently started blogging about all this and is currently working on implementing machine learning models on microcontrollers (TinyML). Arunkumar has relevant experience of 1.94 years in the field. Currently working as a Project Intern at alfaleus, Arunkumar has worked on research and development of their version 10 visual field testing kit. In the past, he has worked with Google Code as a Google code-in mentor for TensorFlow. He has mentored over 20 people and helped them finish projects on TensorFlow. Arunkumar has also worked with Robovitics as a Core Committee Member and has worked on different Electronics and ML projects. Arunkumar has a Bachelor's degree in Technology in Electrical and Electronics Engineering from Vellore Institute of Technology. His tech stack includes Deep Learning, Blockchain, ML, AI, NLP, Neural Networks, Computer Vision, Python, Research Scientist, TensorFlow, Flask, Pytorch, Web, and Data Scientist.