About

Sree Lakshmi Sree Kumar is an efficient, self-motivated, and committed software professional with over 5 years of industrial R&D experience in machine learning, UI development, and AUTOSAR. She is currently working as a Senior Software Engineer at brilio. Sree Lakshmi has extensive experience in deep learning, including object classification, detection, and segmentation. She has also worked on developing advanced CNN solutions and deep learning techniques for fashion recommendation systems and integrating models into Android applications for on-device inference using frameworks like Tflite. Additionally, she has hands-on experience in machine learning frameworks such as Caffe, Caffe2, Tensorflow, DarkNet, and YOLO, and has worked on machine learning problems such as object classification, detection, and segmentation. In terms of UI development, Sree Lakshmi has designed and developed user interfaces for RTFW Tool (Robotic Test Framework) using Python and PyQt. She has also worked on HMI (Human Machine Interface) development for cluster and infotainment systems in automobiles, testing and fixing customer-reported bugs and issues through test management tools like JIRA and RTC. Sree Lakshmi has worked with companies like Bosch and Multicoreware in the past, where she has gained significant experience in software quality management, AUTOSAR architecture, and basic knowledge of tools like Vector Da Vinci Configurator and Developer, vector CaNoe tool, Greenhills Multi Debugger, and DLT Viewer. At Multicoreware, she was part of the Media & AI Analytics Team, where she worked on key projects such as Cadence DLOE and AMD’s HipDNN library. Sree Lakshmi graduated with a Bachelor of Technology (B.Tech.) in Computer Science from Amrita University, Amritapuri Campus, in 2017. She also holds a Higher Secondary Education degree in Computer Science from Palghat Lions School and a High School degree with a CGPA of 10/10 from the same institution. Sree Lakshmi's tech stack includes UI, software engineering, machine learning, testing, deep learning, CNN, recommendation systems, frontend, Python, Android, AI, and Tensorflow. She is always eager to enhance her knowledge and improve her technical abilities to stay updated with emerging technology trends.