About

Siddharth Srivastava is a highly motivated and accomplished individual with a passion for intelligent behavior, perception, and the intersection of machine learning, reinforcement learning, and meta-learning. He is currently working as a Research Intern at algoasylum, advised by Dr. Shrirang Karandikar. Siddharth has a Bachelor of Technology degree in Computer Science from MIT World Peace University, where he currently serves as a Teaching Fellow, conducting lectures on topics such as Quantum Mechanics, Machine Learning, and Computer Vision. He has a keen interest in physics and has presented papers on topics such as Neutrino Detectors and Asteroid Mining, winning awards including the best paper prize at NSSC '18 - IIT Kharagpur. In addition to his academic and research pursuits, Siddharth is also a Rotary Youth Leadership Awardee, recognized for his work towards the UN's SDGs. He presented solutions and actions to mitigate climate change and suggested a roadmap to transition towards renewable energy systems. Siddharth has worked as a Junior Machine Learning Engineer at Omdena, where he was among the 35 engineers from over 24 countries working on providing renewable energy to African communities. His core work included creating heatmaps to track areas with a lack of energy and potential places to install solar panels, classifying regions based on solar irradiance and panel PPI, and analyzing underwater signals to detect areas that are suitable for borehole drilling. Siddharth has a strong technical background and is proficient in research, AI, ML, reinforcement learning, and computer vision. He is also an avid reader, guitarist, and writer. His work can be found on Medium and Github. With 2.51 years of relevant experience, Siddharth is a dedicated individual committed to advancing scientific discoveries and solving problems across domains.