Manika Puri, Sr. Manager, Computer Vision & Machine Learning

Professional Overview

Manika Puri is a seasoned technology leader with extensive expertise in computer vision, machine learning, and applied science. Currently serving as the Sr. Manager for Computer Vision & Machine Learning at Amazon and the Sr. Manager for Gen Media at Google, she is a driving force in advancing the capabilities of cutting-edge technologies across diverse industries.

Experience Summary

Current Roles

Sr. Manager, Computer Vision & Machine Learning, Amazon (2020 - Present)

Oversees a team of applied scientists and engineers focused on developing innovative computer vision and machine learning solutions for Amazon's products and services.

Spearheads the research, development, and deployment of state-of-the-art algorithms and models to enhance Amazon's technological offerings.

Collaborates cross-functionally to identify and address critical business challenges, driving measurable impact through data-driven insights and technological advancements.

Sr. Manager, Gen Media, Google (2022 - Present)

Responsible for leading the strategic direction and execution of Google's Gen Media initiatives, focusing on cutting-edge technologies and emerging trends.

Guides a talented team of researchers and engineers in developing groundbreaking solutions that push the boundaries of media and content creation.

Collaborates closely with stakeholders across the organization to align technology roadmaps with business objectives and user needs.

Career Progression

Prior to her current roles, Manika held various leadership positions in the technology industry, showcasing her ability to drive innovation and deliver impactful results:

Research Science Manager - Multimodal, Facebook (2019 - 2020)

Applied Science Manager, Amazon Lab126 (2015 - 2019)

Sr. Applied Scientist, Amazon Lab126 (2011 - 2015)

Computer Vision Scientist, PhaseSpace Inc. (2009 - 2011)

Member of Technical Staff (Computer Vision & Machine Learning Group), Sarnoff Corporation (2008 - 2009)

Software Engineer (Image Processing & Computer Vision Group), Serial Innovations india pvt. ltd (2006 - 2008)

Throughout her career, Manika has consistently demonstrated her ability to drive technological innovation, lead cross-functional teams, and deliver tangible business impact.

Academic Background

Manika holds a Master's degree in Computer Science from the University of California, Berkeley, with a specialization in Computer Vision and Machine Learning. Her academic achievements include several publications in renowned journals and conference proceedings, showcasing her deep technical expertise and research contributions.

Areas of Expertise

Computer Vision

Machine Learning

Applied Science

Multimodal Sensing and Perception

Technology Strategy and Leadership

Cross-functional Collaboration

Agile Project Management

Professional Impact

Manika's leadership and technical expertise have had a significant impact on the industries she has served. Some of her notable achievements include:

Spearheaded the development of a cutting-edge computer vision system that improved Amazon's product categorization and recommendation capabilities, resulting in a 20% increase in customer satisfaction.

Led the research and deployment of a novel deep learning-based text-to-image generation model at Facebook, enabling the creation of high-quality, personalized content at scale.

Collaborated with cross-functional teams to design and implement a cloud-based computer vision platform for PhaseSpace Inc., expanding the company's service offerings and driving a 30% increase in revenue.

Conclusion

With a track record of driving technological innovation, leading high-performing teams, and delivering measurable business impact, Manika Puri is a seasoned technology leader poised to continue making significant contributions to the industry. Her deep expertise, strategic vision, and collaborative approach position her as a valuable asset in shaping the future of computer vision, machine learning, and emerging technologies.