About

Rahul Raj is a highly skilled Machine Learning Engineer at Quantiphi with a passion for creating solutions that enhance personal and social welfare. He is deeply interested in A.I Vision-based technology, Machine Learning, Embedded systems, and design. Rahul graduated in Electronics and Communication Engineering and has extensive experience in Deep learning, Computer Vision, and ML frameworks such as Keras, Tensorflow, C, C++, Java, AVR, ARM, Assembly Programming, Linux, Matlab, Arduino, and Raspberry pi. With a relevant experience of 4.78 years, Rahul is seeking good opportunities to implement and improve his knowledge for better results for the company and himself. He has a proven track record of creating innovative solutions that have helped his previous employers. Rahul has previously worked as a Machine Learning Engineer at Elsys Intelligent Devices Pvt Ltd and as an IoT Developer at Smarte3. Rahul's educational background includes a P.G Diploma in Embedded systems and Design from C-DAC, Project Management from SMC University, and a Bachelor of Technology degree in Electrical, Electronics, and Communications Engineering from Mar Baselios College of Engineering and Technology, Nalanchira, Thiruvananthapuram. Rahul's TechStack includes ML, Keras, Computer Vision, Deep Learning, Big Data, and Java. His expertise in these areas has helped him develop innovative solutions that have had a significant impact on his previous employers. Rahul is a quick learner and is always eager to learn new technologies and skills that can help him improve his work. In summary, Rahul Raj is a highly skilled Machine Learning Engineer with a passion for creating innovative solutions that enhance personal and social welfare. He has a proven track record of developing solutions that have had a significant impact on his previous employers. Rahul's educational background and extensive experience in Deep learning, Computer Vision, and ML frameworks make him an asset to any organization.