About

Chandra Shekhar Sirimala is a highly skilled Senior Software Engineer with over 6 years of experience in developing multiple software systems. He has a broad range of expertise in Backend Engineering, DevOps, and Deep Learning. He was instrumental in developing the backend of a low-code/no-code AI platform for enterprises, where users can add data, build deep learning models, and infer videos and images. Currently, Chandra is working as a Senior Software Engineer (Backend + DevOps) at Streamingo. He has designed, developed, and maintained RESTful APIs for Streamingo’s end-to-end Deep Learning platform, providing services such as labeling, training, and inference of videos and images using Nodejs, MongoDB, RabbitMQ, and Celery. He has built an application caching layer using Redis, thereby reducing latencies by up to 60%. Chandra has identified and created appropriate indexes in MongoDB and modified application logic so that most database queries utilize indexes, which helps in faster read operations. Chandra has also worked as a Software Engineer (Backend + Deep Learning) at Streamingo, where he was focused on development as well as deployment of backend software modules for all three domains of AI, Image processing, speech processing, and NLP. He has extensively used Celery, RabbitMQ, and Redis to process backend jobs and automate deep learning workflows. He has built APIs for AI platforms to provide frequently used NLP functionalities like POS tagger, NER using spacy. Chandra has evaluated, trained, and debugged state-of-the-art DL models to implement object and action detection solutions to analyze videos coming from a fortune-500 client. Chandra has a Bachelor's degree in Engineering Design from IIT Madras. He has expertise in various technologies such as Python, Kubernetes, RabbitMQ, Redis, NLP, MongoDB, Pytorch, Computer Vision, Image Processing, Docker, Parts-of-speech, NodeJS, ML, test, Research Scientist, ResNet, OpenCV, Tensorflow, and Flask. His relevant experience in the industry is 8.70 years.