About

Tapan Sharma is a multimedia engineering expert with a passion for developing smart solutions that utilize data and concepts. He is currently working as a Video Engineer at 3Q GmbH, where he specializes in codecs, transcoding, streaming, and AI-focused video engineering. Tapan holds an M.Sc. degree in Communications Engineering from TU Munich and a Bachelor's degree in Electronics & Communication from NIT Hamirpur. Tapan has a strong background in Python, C/C++, C#, Java, FFMPEG, Gstreamer, Docker, Keras, Tensorflow, and perceptual video quality metrics analysis. He is also skilled in deep learning, reinforcement learning, and AI-driven engineering. Tapan has 4.28 years of relevant experience, including his past role as a multimedia software engineer at Roposo. Tapan's core expertise lies in his ability to understand data and concepts and use them to develop smart solutions. He has worked on several projects that demonstrate his expertise, including PourNet, a simulation-driven robotic pouring scenario based on Unity3D & Nvidia Flex and curiosity-driven Reinforcement Learning. Tapan also worked on the project "Robot Grasp Planning with Compliant Gripper Jaws using Deep Learning" as a research intern at TU Munich. He implemented domain randomization of camera poses for robust dataset generation within the simulation setup and transferred simulation-data trained grasping policy trained on 8.2 million datapoints on real robot demonstrating sim-to-real transfer of learned skill. Tapan's education history includes a Master of Science degree in Communications Engineering from TU Munich, a Bachelor of Technology degree in Electronics & Communication from NIT Hamirpur, and an AISSCE-10 degree from DAV Public School, New Shimla. Overall, Tapan is a highly skilled multimedia engineer with a strong background in AI, ML, Reinforcement Learning, Deep Learning, Keras, Docker, Tensorflow, Python, Software Engineering, Java, Research Science, SQL, C, CNN, and Scikit. He is passionate about using his skills and expertise to develop smart solutions that utilize data and concepts to their fullest potential.