About

Amit Kumar is a highly skilled Machine Learning Engineer with a passion for developing Enterprise Artificial Intelligence Software. With over 4.5 years of experience in Software Design, Development, and Performance Optimization, Amit has worked across multiple areas, including Supply Chain Management, E-commerce, and IoT analytics. Amit has a strong track record of developing highly accurate and efficient models using Machine Learning and Deep Learning frameworks. He has built several Regression, Classification, and Clustering Models to predict and plan warehouse activities optimally. Moreover, Amit has developed a Scalable Catalogue Builder, Search Services, and a Precise Recommendation Engine for E-commerce. He has also created Data Engineering and ETL Analytics tools for IoT and Clickstream Data to get intelligent valuable insights. Amit has a deep understanding of various technologies and tools, including SKlearn, Keras, TensorFlow, Python, Java, Spark, Cassandra, Elasticsearch, MySQL, Git, and Jira. He has worked with ML Lab, an internal Machine Learning Framework at Manhattan Associates, to create, test, analyze, and experiment with AI models in just two steps. He has also developed a Task Time Estimator, an ML Regression Model that estimates the total time required for different tasks in the warehouse beforehand with more than 90% accuracy. Amit has worked with Obsessory and Glassbeam as a Software Engineer, where he developed several innovative solutions. At Obsessory, he developed an Image Classifier and a Colour Classifier using Deep Learning and KNN. He also developed a recommendation engine that combined both collaborative and content-based approaches. At Glassbeam, Amit developed a Java IoT Client Application using PTC ThingWorx IoT Platform to serve File Transfer. He also developed several REST APIs using Scala and a Production Monitoring Tool. Amit holds a Bachelor of Engineering degree in Computer Science from West Bengal University of Technology. He completed his 12th from SNSY College Rambagh, Purnea, and his 10th from BBM High School, Purnea. Amit's tech stack includes ML, Software Engineering, Scikit, Deep Learning, Spark, TensorFlow, Python, Big Data, Java, Data Scientist, Keras, CNN, NLP, MySQL, Random Forest, Cassandra, Pandas, Search, Computer Vision, AI, Data Engineering, Test, Elastic Search, ETL, and Flask. Amit has 8.70 years of relevant experience in the field of Machine Learning, Deep Learning, and