About

Aditya Mavlankar is a highly skilled Senior Software Engineer with over 13 years of experience in various aspects of video coding, compression efficiency, and interfacing well with the transport mechanism for seamless multimedia communication. He is currently employed at Netflix, where he owns crucial projects that require cross-team alignment and collaboration. Aditya has contributed to various aspects of image and video encoding pipelines at Netflix and has recently focused on optimizing bitstreams with premium features such as 10-bit, 4K, high framerate, and high dynamic range. Aditya's specialty lies in various aspects of video coding, including compression efficiency, encoding-at-scale workflows, bitrate-resolution ladder design, codec comparisons, testing new encoding variants in the field, and deploying new encoding optimizations at scale. He is interested in various areas, including image and video compression, streaming media over packet-switched networks, P2P networks and their utility for live as well as on-demand media streaming, video calling and video conferencing, hardware-accelerated video encoding/decoding, virtual reality, and camera systems. Aditya has a Ph.D. in Electrical Engineering from Stanford University, where he conducted research on interactive TV with virtual pan/tilt/zoom functionality. He also holds a Master of Science in Communications Engineering from Technische Universität München and a B.E. in Electronics and Telecommunication from Savitribai Phule Pune University and Pune Institute of Computer Technology. Prior to working at Netflix, Aditya was a founding team member and principal engineer at Tely, where he helped grow the engineering team from four to 25. He spearheaded the design of Tely end-point software architecture, which re-organized the code base to avoid code duplication, enhance maintainability, and simplify birthing new generations of Tely hardware. Aditya has also worked as a visiting researcher at Deutsche Telekom, where he built a proof-of-concept demo for interactive TV with virtual pan/tilt/zoom functionality. Aditya's skills include C/C++, Java, multi-threaded programming, Android JNI, OpenGL, shaders using GLSL, NAT traversal using STUN, TURN & ICE, AES encryption, Android APIs for video encoding/decoding/rendering & muxing such as MediaCodec, GLSurfaceView, MediaMuxer, Networking socket programming, Android screen capture, and sharing using MediaProjection API.