About

Raj Kamal Srivastav is a highly skilled machine learning developer with over 6 years of experience in the field. He has a fundamental and applied understanding of algorithms and their design, with a strong grasp of the mathematics behind the scenes. Raj Kamal's areas of interest are deeply rooted in the application of deep learning with computer vision, which he developed while working on the production-grade development of lightweight models meant to be deployed on SOCs. Currently working as a Technical Lead (AI Solutions) at HELLA, Raj Kamal has recently developed an end-to-end automated solution for energy management initiatives at Forvia, HELLA for 25 plants across the globe. This solution is deployed via docker stack (Swarm) comprising of UI service, automated data transformations and load services, object storage services, event listeners, and many more. He is also working on a production-level anomaly detection solution for the plants. Raj Kamal is always willing to learn new technologies and discuss them with peers. He invests his time in learning SOAs architectures and has expertise in programming languages such as Python, C++, SQL, deep learning platforms/libraries such as TensorFlow, PyTorch, Caffe, and machine learning libraries such as Scikit learn, Pandas, NumPy. He also has experience in Gitlab/Bitbucket, scaling production-level applications with Kubeflow workflows at GCP, and productionizing machine learning modules using docker stacks, Kubernetes, and integrating ML development with MLOps. He has a working knowledge of Ansible and monitoring tools such as Grafana, Prometheus, and Swarmpit. Raj Kamal's expertise also extends to OpenCV-python, data structures, and algorithms, and design patterns. Raj Kamal has previously worked as a Senior Engineer - Machine Learning at HELLA, where he worked on autonomous driver-assistance systems (Deep learning | Computer vision for ADAS). He has also worked as an Analyst - Data Science at Infosys. Raj Kamal holds a Bachelor of Technology in Computer Science from Jaipur Engineering College & Research Center, a Nanodegree in Computer Vision from Udacity, and a PGP (Data science & business analytics) in Machine Learning from Praxis Business School. He also attended Rashtriya Military School Dholpur. Raj Kamal's tech stack includes AI, Senior Software Engineer, Deep Learning, ML, Computer Vision, Python, Docker, SQL, Tensorflow, Ansible, OpenCV, Scikit