About

Sharan Duggirala is a talented and passionate Senior Machine Learning Engineer and Applied Data Scientist with extensive experience in Machine Learning and Deep Learning. He is focused on architecting and deploying systems that work with cutting-edge technologies. Sharan is adept at building data pipelines that serve massive scale data to Computer Vision, Natural Language Processing, and Forecasting models. Currently, Sharan is working as a Senior Machine Learning Engineer at deepcell, inc. where he is responsible for designing and deploying systems that leverage Machine Learning and Deep Learning for various applications. Prior to this, he worked as a Machine Learning Engineer at lavoro technologies inc where he developed and benchmarked an ensemble of machine learning and deep learning Autoregressive time series regression models for the Oil and Gas industry applications. He also deployed containerized sklearn and tensorflow models in Python over GCP along with an ETL pipeline. Sharan has also worked as a Technical Lead at soshall ltd where he was responsible for developing serverless and containerized solutions over hosted and managed AWS. He used entity embeddings with funnel-based sklearn and tensorflow machine learning to power feed-based and recommender systems on iOS and Android platforms. He also built batch model pipelines in PySpark for pre-computed feed and recommendations, along with Kafka-based real-time machine learning. Sharan holds a Master of Science in Computer Science from San Jose State University, a Master of Science in Business Analytics from California State University, and a Hons. Bachelors of Engineering in Computer Sciences and Electronic Engineering from the University of Bristol. Sharan has a strong technical background and is proficient in various technologies such as ML, Deep Learning, Computer Vision, NLP, Scikit, Data Scientist, Research Scientist, Tensorflow, ETL, GCP, Python, AWS, Kafka, iOS, and Android. He has relevant experience of 4.03 years and is a valuable addition to any team looking for a skilled Machine Learning Engineer.