About

Harshul Kuhar is a highly skilled Data Scientist with hands-on proficiency in Machine Learning and Artificial Intelligence. With a strong business understanding and product knowledge from a data perspective, he has considerable experience in DevOps and MLOps. Currently working as a Data Scientist at Housing.com, Harshul has made significant contributions to the company. He created a No-Reference Image Quality Ranking tool that selects the best image of a real-estate property for social media campaigns to increase CTR. He also worked on an ML approach to predict the propensity of a seller to monetize based on their historical activity on the platform, which is used for customized outreach. Harshul is leading the MLOps initiative and establishing Experiment Tracking, Data Drift, and Retraining Pipeline standards. Before joining Housing.com, Harshul worked as a Software Engineer at Indianic Infotech Limited. There, he worked on e-billing projects' backend using Spring Boot and REST API. He extensively used Docker to deploy and manage microservices on AWS. Harshul also used several DevOps tools like Nagios, Prometheus, and Grafana to monitor applications and services across several environments. Harshul has also worked as a Teaching Assistant at Durham University, where he taught Java to first-year undergraduate students as part of their Introduction to Programming module. He compiled weekly exercises that periodically get challenging. Harshul holds a Master of Engineering - MEng in Computer Science from Durham University. He also has a CBSE (Equivalent to A-Levels) degree from Delhi Public School - Gurgaon and a CCE (Equivalent to GCSE) degree from the same institution. Harshul has a diverse tech stack, including Research Scientist, Data Scientist, ML, OpenCV, Docker, DevOps, AWS, Scikit, Keras, Computer Vision, Deep Learning, TensorFlow, Python, MongoDB, Software Engineer, Backend, SQL, Pandas, Flask, Pytorch, and Java. With 2.86 years of relevant experience, Harshul is a highly skilled data scientist with a strong background in DevOps and MLOps.