Jeevan Revaneppa Hiretanad — AI Researcher

A dynamic and curious DSP Firmware Engineer currently involved in the LTE physical layer domain, I bring a diverse array of experience and skills to the table. Throughout my career, I've had the opportunity to build radar applications such as in-cabin sensing for the automotive industry, honing my capabilities in areas like DSP, Matlab, ASR, TTS, C, Python, Machine Learning, Deep Learning, Data Science, IoT, Embedded Systems, Computer Vision, Speech Processing, Arduino IDE, LtSpice, and Analog. I'm proud of having contributed to the Speech module for the funded project 'Humanoid', and successfully built and deployed wave2vec, GMM-HMM, and DeepSpeech models for Hindi speech recognition. I've created a Tacotron-ParallelWaveGAN based Hindi TTS model, generating human-like voice audio, and constructed a Speech-to-Speech translation module. This module effectively translates Hindi audio to English, and I have successfully ported it onto a Raspberry Pi, demonstrating its robust operation and optimal accuracy. My skill set extends beyond software, encompassing knowledge of hardware, underlining my ability to handle multifaceted tasks. As an individual, I'm known for my curiosity and zeal for learning new technologies, always striving to continuously update my knowledge. I'm an enthusiastic learner, open to starting from scratch and learning from my peers, bringing good analytical-reasoning and problem-solving skills to any challenge. I'm always excited to engage in discussions and projects related to the Speech, DSP, 4G/5G and Radar fields. I'm presently seeking opportunities in an environment where I can further enhance my knowledge and experience, contributing my skills while growing and developing professionally. Feel free to reach out for any exciting endeavors or worthwhile conversations in these areas.

Stackforce AI infers this person is a specialist in Embedded Systems and Machine Learning within the IoT and Telecommunications sectors.

Location: Hyderabad, Telangana, India

Experience: 3 yrs 9 mos