About

Chetan Bhat is a Senior Staff Engineer in Machine Learning at Freshworks, with 14.95 years of relevant experience. He is a versatile AI/ML leader who has delivered performant machine learning systems, operating at the intersection of algorithmic advancement and engineering scale. Chetan has been instrumental in creating meaningful product impact by solving pressing industry problems like content and context understanding, detecting and eliminating fake content, fraud detection via user impersonation, customer churn prevention, and customer ranking and recommendations. Chetan is adept at utilizing advanced research in deep learning, natural language processing, and graph theory to serve predictions at scale. He has published papers on these topics and has experience in working with machine learning systems and architectures such as big data, microservices, and containers. Chetan has set up and mentored cross-functional DS/ML teams multiple times over the course of the last decade. In his current role at Freshworks, Chetan is responsible for developing deep and explainable NLP across different types of texts, chats, voice, and platform activities to support customer-facing ML services in Freshsales. He also works on customer journey ML models to capture product journey nuances, in order to inform effective interventions and next best actions. Chetan also works on knowledge graphs and other methods for representation learning of tens of millions of entity values across hundreds of entity types, which powers downstream models as well as potential product features. Prior to Freshworks, Chetan worked at LogMeIn as a Staff Data Scientist. He worked on data science and machine learning, powered and supported by distributed computing and cloud architecture for the ~$500M Identity and Access Management (IAM) product portfolio. Chetan's work spanned across the entire spectrum of ML lifecycle, right from algorithm research, rapid prototyping, to building production-grade models deployed on AWS, orchestrated by both synchronous and asynchronous web servers and frameworks. Chetan holds a B.Tech in Chemical Engineering from the National Institute of Technology Karnataka, and he also attended P C Jabin College of Science, Hubli. He has experience working with various technologies such as ML, AWS, NLP, Python, Deep Learning, AI, Research Scientist, Spark, Big Data, Data Scientist, Computer Vision, Pytorch, Microservices, Web, Apache Hive, BERT, XGBoost, Neural Networks, Hadoop, ECS, Normalization, Scikit, SQL, Flask, Sentiment Analysis, SVM,