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Engineering @ Meta
Engineering Leader and ML Systems Architect with 12+ years of experience bridging advanced AI research and production reality. Currently leading cloud offload systems for Meta Reality Labs, powering low-latency ML inference and photorealistic rendering for Codec Avatars and 3D environments. I operate as a highly technical leader, focusing on the intersection of computer vision, distributed systems, and edge-to-cloud AI. Key Technical Impacts: * Optimization & Infrastructure: Improved Codec Avatar throughput 10x (TensorRT) and reduced transmission latency 5x for cloud-offloaded scene understanding. * Edge & Wearable AI: Shipped on-device computer vision models for Ray-Ban Meta smart glasses. CV Foundations: Built scalable systems for 3D bounding-box generation, visual search, and catalog de-duplication. I thrive on working through ambiguous, cross-functional challenges to turn multimodal AI breakthroughs into reliable, consumer-facing products.
University of Southern California
Master of Science, Electrical Engineering (Multimedia and Creative Technologies )
January 1, 2011 – January 1, 2013
Visvesvaraya National Institute of Technology
Bachelor of Technology, Electronics and Communication Engineering
January 1, 2007 – January 1, 2011
Meta
Engineering Manager
January 1, 2019 – Present
San Francisco Bay Area
Myntra
Machine Learning Engineer
June 1, 2017 – January 1, 2019
Palo Alto, CA
DAQRI
Computer Vision Engineer
April 1, 2016 – June 1, 2017
Sunnyvale, CA
Intel Corporation
Computer VIsion Software Engineer
August 1, 2013 – April 1, 2016
Santa Clara, CA
Intel Corporation
Software Engineering Intern
January 1, 2013 – May 1, 2013
Santa Clara
TiVo
Engineering Intern
May 1, 2012 – August 1, 2012
GlobalLogic
Summer Project Trainee
May 1, 2010 – May 1, 2011
AudioSense: A hand gesture controlled audio player
January 1, 2012 – May 1, 2012
• Developed a hand gesture recognition based music playback system on a Texas Instruments DaVinci 6437 DSP using a Kinect depth camera for input • Features implemented : play, pause, shuffle, mute, skip songs audio equalization
Video Summarization
September 1, 2011 – December 1, 2011
• Implemented an algorithm to extract the important scenes from a video to produce a comprehensive synopsis • Performed analysis of video shots on the basis of the color, motion and audio levels of the shots and then a metric was developed to choose the most important shots in the video
Indoor positioning using video surveillance infrastructure
August 1, 2010 – April 1, 2011
• Designed a barcode based system using OpenCV for localization of people/objects in an indoor environment • The barcodes are read by cameras and 3D pose estimation of the barcode is performed for localizing the object
Cultural Fit Analysis
The candidate's experience spans large corporations (Meta, Intel), e-commerce (Myntra), and AR/VR startups (DAQRI), indicating adaptability to various organizational cultures. The project diversity, from academic research to product development, suggests a broad interest and ability to contribute to different types of initiatives. The progression to a management role at Meta also implies a capacity for leadership and mentorship, which can be a strong cultural asset. The target role of 'Computer Vision' aligns perfectly with the candidate's professional history and project work.
Soft Skills & Operational Fit
The candidate's career progression to Engineering Manager at Meta suggests strong leadership, project management, and team collaboration skills. The diverse project experience indicates adaptability and problem-solving capabilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.