About

Samridha Kumar is a Senior Software Engineer with over 4.45 years of experience in the field of Embedded Platform Optimization. Currently, she is working in the ADAS Department of Continental, Bangalore, where she is responsible for developing optimized computer vision libraries for ARM-based processors and maintaining the video object detection and classification algorithm on TI's TDA2x/3x. Samridha has a strong background in programming languages such as Python, C, and Embedded C, and familiarity with C++. She is also well-versed in packages such as Microsoft Visual Studio, Code Composer Studio, MATLAB, and ARENA, and has experience working with processors/SOCs like TI's TDA2x/3x, Raspberry Pi, and Arduino, and operating systems like Windows and Linux. Samridha has a Bachelor's degree in ECE from ITER, Bhubaneswar, and is currently pursuing an MTech in Software Systems from BITS Pilani. She has also completed various certification courses in Machine Learning, Internet of Things, Raspberry Pi, and Web Development from reputed institutions like Stanford University, IIT Kharagpur, and Internshala. Samridha has published five research papers in the area of DSP, specifically Speech Analysis & Synthesis. Samridha has previously worked as a Software Engineer in the Imaging & Vision team of PathPartner Technology Pvt Ltd, Bangalore, where she was responsible for optimizing the Facial Landmark Detection system and contributing to customer framework integration. She has also worked as a JRF in the E-Business Centre of Excellence, Dept. of Industrial & Systems Engg, IIT Kharagpur. Samridha's competencies include Embedded experience with TI's TDA2x/3x EVE core and DSP core, debugging on HIL, SIMD Intrinsics (ARM NEON, Intel SSE), TI's Deep Learning Library (TIDL), and Machine Learning techniques such as Regression, Naive Bayes, SVM, Decision Trees, Random Forest, ANN, Convolutional Neural Nets. She also has exposure to Deep Learning and Computer Vision. Overall, Samridha Kumar is a highly skilled and experienced Senior Software Engineer with a strong background in Embedded Platform Optimization, Machine Learning, and Computer Vision, making her a valuable asset to any organization.