About

Himanshu Lal is an experienced data science and AI specialist, with over 5 years of relevant experience in the field. He is currently working as an AI Software Engineer at Intel, where he is responsible for developing and optimizing ML/DL libraries for the Intel OneAPI Analytics Toolkit and onboarding customer use cases on Intel AI Analytics Platform. He has a strong track record of developing and optimizing machine learning and deep learning models on various industrial and manufacturing use cases related to classification, anomaly detection, image segmentation, and object tracking. Himanshu is also an open-source contributor in blockchain at Hyperledger Bevel, where he has contributed to automating end-to-end frameworks of two distributed ledger technology platforms (Hyperledger Fabric and Hyperledger Indy). He has a background in computer science and holds a Bachelor's degree from Maulana Azad National Institute of Technology. Himanshu's expertise lies in Python, machine learning, DevOps, and AI. He is proficient in using cloud services such as Google Cloud Platform, AWS, and GKE. He is also skilled in using various deep learning frameworks such as TensorFlow, PyTorch, and Keras, as well as in computer vision and NLP. He has experience coordinating with management on client proposals, planning project pipelines, and designing architecture, as well as estimating efforts and costs. Himanshu is a team-oriented professional with excellent communication and collaboration skills. He is passionate about continuing to learn and explore new fields within data science. His strong competencies in project management, data analytics, and business intelligence have enabled him to consistently deliver projects on time and to a high standard.