Pranav Sharma Email & Phone Number

I am a Master Graduate of Media Technology with upto 3 years of experience at Fraunhofer IIS, Germany and have s strong background as a software developer. I have expertise in spatial audio, psychoacoustics, and digital signal processing. I have developed and implemented several algorithms to perceptually analyse room impulse response for different spatial audio plugins, headphones and speakers. I have also developed VR applications and games. I’ve worked on innovative projects like developing a dynamic binaural synthesis system for virtual 5-channel surround sound over headphones and integrating plugins for Virtual Reality.During my master’s program, I completed my thesis, “Estimation of the Acoustic Decay Time of Live Signals Using Neural Networks”. This research involved a comprehensive comparison of various neural network architectures, resulting in the development of the Reverberation to Decay Net (R2DNet) model, which excels in estimating decay parameters and noise floor from mono-channel reverberant speech of just 1.024 seconds. Proficient in tools like MATLAB and Python, I have a strong academic background, excelling in subjects like Advanced Digital Signal Processing, Video Coding, and User-Centric Engineering. My professional experience as a software developer at TATA Consultancy Services further honed my teamwork and leadership skills.I have developed end-to-end DevOps projects, including a three-tier web application for object detection using OpenCV and Python. This project involved Docker containerization, Kubernetes (EKS), AWS services, Ansible for configuration management, and MongoDB for data storage. Additionally, I implemented CI/CD pipelines with AWS CodePipeline and Jenkins to automate the build, test, and deployment processes. This experience highlights my ability to integrate and manage complex technologies efficiently.My skills include:- Spatial Audio and Video Technology- Neural Networks and AI- Psychoacoustics and Audio Coding- Image and Video Processing- IoT and Multimedia Processing- DevOps- Cloud Platform - Amazon Web Services (AWS) Developer- MLflowCurrently, I’m diving into MLOps to streamline and automate machine learning workflows, which I believe will further revolutionize how we manage and deploy complex audio and multimedia applications.I am passionate about advancing in the field of media technology building end to end projects, and am keen on contributing my knowledge and creativity to innovative projects.Always open to connecting with like-minded professionals – feel free to reach out for a chat!