About

Mayank Parashar is an Associate Data Scientist at National Payments Corporation of India (NPCI) with 1.86 years of relevant experience. He specializes in Computer Vision, Edge Computing, ANPR, and Deep Learning models. Mayank has a proven track record of enhancing and making Deep Learning models more robust. He is proficient in building and deploying end-to-end scalable pipelines of ANPR models on cloud and edge GPU environments using Nvidia DeepStream SDK. Mayank is also skilled in working with Edge Devices like Jetson Nano, Jetson Xavier NX, and Raspberry Pi. He has optimized models to improve inferencing on servers using Triton Inference Server, TensorRT, and Tflite. Mayank has also optimized object detection models for detection on edge devices with limited resources. Mayank's expertise in Machine Learning includes Data Input and Preprocessing with Tensorflow/Pytorch, Model Building, Monitoring, and Evaluation using Tensorboard, Advance Tensorflow (Building custom models - CNNs, Scaling up for large datasets), and Distributed training with hardware accelerators. He is well-versed in SQL, Python, NLP, Apache Hive, Pandas, Keras, OpenCV, Scikit, Docker, Flask, GCP, and Web. Mayank holds a Bachelor of Technology in Computer Science from Amity University and has completed a Nanodegree in Data Structure and Algorithms from Udacity. He has also completed a 4-week Internship Program at ICT IIT Kanpur as a Summer Trainee. Mayank's passion for technology and his ability to work with cutting-edge tools and technologies make him an asset to any organization. He believes that time is not absolute, and it's better to use it wisely.