About

Harsh Jaiswal is a highly skilled senior programmer with a strong background in deep learning, machine learning, natural language processing, and AI. With 3.94 years of relevant experience, he has proven expertise in developing and implementing complex algorithms and models that drive business growth and innovation. Currently working at the WHO Collaborating Center Society for Applied Studies, Harsh is responsible for designing and developing cutting-edge solutions that leverage the latest technologies. He is proficient in a wide range of tech stacks, including Scikit, Python, Tensorflow, MySQL, AWS, Sagemaker, and more. Before his current role, Harsh completed an internship at Cairn India Ltd, where he gained valuable experience in the industry. He has also worked as a research scientist, search and QA engineer, and data scientist, among other roles. Harsh is an expert in neural networks, BERT, text classification, Jupyter, SVM, XGBoost, random forest, Seaborn, ECS, CNN, Docker, Javascript, Pandas, PHP, ETL, Pytorch, and web development. He is a highly motivated and detail-oriented professional who is always seeking to expand his knowledge and skills. Harsh is a valuable asset to any team, and his ability to solve complex problems and deliver innovative solutions makes him an exceptional programmer. With his expertise in AI and machine learning, he is well-positioned to drive digital transformation and help organizations achieve their strategic goals.