About

Ashutosh Jain is a Technical Lead at Applied Materials and a student of ML-AI at IIIT/LJMU/Upgrad. With over 16 years of extensive experience in product development, he is an expert in designing and developing cloud-based distributed and scalable solutions and platforms. He has spent 14 years in the Service assurance domain, specializing in performance management and monitoring, network performance data collection, inventory management, and performance modeling. In addition, he has spent two years in the Semiconductor Industry, where he worked on defect review, classification, and analysis of wafers using advanced algorithms and machine learning techniques. As a fully hands-on engineer, Ashutosh has expertise in capturing, analyzing, developing, and releasing customer requirements. He is skilled in developing high-volume and low-latency systems that meet all stability and performance requirements of customers. He is an extremely self-motivated engineer with a strong customer service attitude, exceptional technical competency, and communication skills. Ashutosh has a deep understanding of common Machine Learning techniques related to Time series, Regression, Classification, and Clustering. He has worked with Linear Regression, Logistic Regression, KNN, SVM, Decision Tree, Random Forest, GBM, and XG-Boost. He also has working knowledge in deep learning with different NN architectures like ANN, CNN, RNN, and LSTM. Ashutosh holds a PG Diploma in ML and AI from IIIT Bangalore, an MCA from NIT Tiruchirappalli, and a BCA from Panjab University. He is a Senior Software Engineer with expertise in AI, ML, SVM, Random Forest, CNN, RNN, and Deep Learning. He has 14.11 years of relevant experience. Before joining Applied Materials, Ashutosh worked as a System Architect and Senior Technical Specialist at Huawei. He is an exceptional team player and has a proven track record of delivering successful projects.