About

Harshit Joshi is a curious and philosophical Machine Learning Engineer with a passion for learning and evolving. He is currently working as a Machine Learning Engineer - III at Inmobi, where he is responsible for developing and implementing machine learning algorithms for feed recommendation. Harshit has 4.78 years of relevant experience in the field of ML, software engineering, computer vision, NLP, and big data. He has a Master of Technology in Information Technology and Data Science from the International Institute of Information Technology Bangalore. Before joining Inmobi, Harshit worked at Walmart as a Software Development IN-3, where he played an instrumental role in tuning the performance of the backend layer for Walmart e-commerce. He also worked on the Multi-Channel Sourcing Engine (MCSE), which solved a constraint optimization problem and served as an order sourcing platform that promised the best delivery dates to customers while balancing the supply chain network, reducing costs, and providing self-service automated tools to partners. Harshit's interests range from general science to neuroscience to the ultimate nature of reality. He loves paradoxes and thought experiments and is always eager to learn and explore new ideas. His tech stack includes ML, mobile, software engineering, computer vision, NLP, NoSQL, Kafka, Python, Java, Scala, deep learning, data science, SVM, XGBoost, AI, hyperparameters, corpus, OpenCV, Spark, and big data. Overall, Harshit is a highly motivated and skilled Machine Learning Engineer with a strong passion for his work. He is always striving to improve his skills and knowledge and is excited about the future of AI and machine learning.