About

Tulasi Ram Laghumavarapu is a highly skilled Software Engineer with a strong background in developing real-time speech processing applications. With close to 4 years of relevant experience, he has worked on Encoder Decoder Models with Attention, CTC, and RNN Transducers. He is also experienced in deploying TENSORFLOW models and PyTorch to edge devices. Tulasi has a proven track record of working on projects related to Computer Vision, specifically Object Detection, Localization, and Segmentation. He is well-versed in traditional Machine Learning algorithms like K-NN, Logistic Regression, SVM, DT, RF, and GBDT, and stacking classifiers. Currently working as an SDE2 at Amazon-Physical Stores Tech, Tulasi has previously worked with Motorola as a Back End Developer and Mihup as a Machine Learning Engineer. At Mihup, he worked on projects related to Text to Speech and Automatic Speech Recognition. Tulasi holds a Bachelor's degree in Electronics and Communication Engineering from the National Institute of Technology Silchar. He is proficient in a wide range of tech stacks that include SVM, Object Detection, ML, Backend, Computer Vision, RNN, Object Detection, Tensorflow, and Pytorch. With a strong Github portfolio and a Medium profile that receives 1k views per month, Tulasi is a highly motivated individual who is always looking for new challenges to improve his skills and knowledge.