About

Rajesh Dhanda is a highly skilled Machine Learning Engineer with a passion for building and productionizing ML models, feature stores, and data flow pipelines. He is currently working at CARS24, where he applies his expertise in ML Ops to develop cutting-edge solutions that drive business growth. With 3.28 years of relevant experience, Rajesh has a diverse background in Computer Vision, Deep Learning, and Python. He is a GATE CSE 2021 Qualified professional and has completed an M.Sc in Physics from the prestigious Indian Institute of Technology, Kanpur. Rajesh has worked with several leading organizations, including deepsight ai labs, where he served as a Computer Vision Software Engineer. He was responsible for developing object detection, object tracking, and video surveillance systems using Deep Learning. He also built direction-based entry-exit and object counting features using DeepSort and implemented Tflite model conversion of DeepSort on Raspberry PI. As an Artificial Intelligence Engineer at Docbot, Rajesh built mathematical formulations for symptom recommendation and worked on data analysis. He also developed random datasets for Rec_Systems and created an adaptive approach for symptom recommendation. Rajesh is proficient in AWS, Docker, Kubernetes, DevOps, Apache Airflow, SQL, GCP, Snowflake, Ansible, CNN, Data Engineering, Redis, Jenkins, Integration, and Senior Software Engineering. He is a research scientist and a data scientist with a strong background in ML and AI. Overall, Rajesh is a highly motivated and skilled professional with a passion for developing innovative solutions that drive business growth. He is an excellent team player with strong communication skills and a proven track record of delivering high-quality results.