logo IAF


Registered under the Society Act, 1860
Govt. of India Recognized 80G, 12A compliant

G20 summit logo

Mr. Dwith Chenna

Mr. Dwith Chenna

Achiever's Success Story

"From Silicon Valley to International Acclaim: Dwith Chenna's Impactful Odyssey in Computer Vision and EdgeAI”

Dwith Chenna’s journey in the realms of Computer Vision and Machine Learning Operations (MLOps) at the Edge stands as a testament to relentless innovation and unparalleled optimization. This accolade is not just a recognition of his technical prowess but a celebration of a journey marked by relentless commitment to pushing the boundaries of what is achievable in the ever-evolving tech landscape.

Hailing from the heart of Silicon Valley, Dwith’s success story is defined by his seamless navigation through the complexities of deep learning model analysis and deployment. His success is rooted in a profound understanding of deep learning model analysis and deployment, encompassing the entire spectrum from initial requirements specification to system design, validation, and online testing. What distinguishes Dwith is his exceptional ability to optimize computational resources, achieving remarkable accuracy metrics while significantly reducing compute power requirements. This unique skill has propelled him into a league of his own within the specialized realms of Computer Vision and MLOps.

The success story of Dwith Chenna gains additional vibrancy through his tenure at MagicLeap Pvt. Ltd., where he played a transformative role in advancing the field of AR/VR. His contributions were multifaceted, optimizing the AI model on the edge. In a feat deemed challenging especially for AR/VR devices, if not impossible, he facilitated real-time model execution on resource-constrained devices. His developments extended beyond mere accomplishments; Dwith crafted tools that enabled the efficient utilization of DSPs with minimal accuracy loss, solidifying his standing as a leader in the intricate intersection of Computer Vision and MLOps.

Beyond the technical intricacies, Dwith’s narrative encapsulates a commitment to excellence. His role involves evaluating embedded algorithms for performance and accuracy, driving key metrics such as latency, memory, bandwidth, and power consumption. This comprehensive approach underscores his ability to navigate the complexities of developing and optimizing deep learning models on resource-constrained hardware, a skill set that has earned him industry acclaim.

Before MagicLeap, Dwith’s journey of impact unfolded at Cadence Design Systems – Tensilica and FDA – Center for Devices and Radiological Health (CRDH). Here, his significant contributions resonated in the development and implementation of deep learning layers, NNAPI integration, and the creation of sophisticated image processing applications. These experiences served as the crucible for the skills and insights that ultimately positioned him as a recipient of the International Achiever Award. Through these endeavors, Dwith not only showcased his technical acumen but also underscored his commitment to propelling the industry forward.

As a recipient of the International Achiever Award, Dwith Chenna stands as an embodiment of inspiration for emerging professionals in the realms of Computer Vision and MLOps at the Edge. His journey, spanning the corridors of Silicon Valley and leaving an indelible imprint at renowned organizations, is a testament to the possibilities that unfold when dedication, expertise, and innovation converge in the dynamic world of technology. Dwith’s success story is not just an individual achievement; it is a narrative that resonates as a guiding light for those aspiring to carve their path in the transformative fields he has mastered.

Scroll to Top

Career With IAF

Please attach your CV (max. 2MB size)
Make payment in favour of:  
Account No.: 


Bank Name: Kotak Mahindra Bank
Branch: Mayur Vihar-I, Delhi -110091

IFSC CODE :  KKBK0000203
MICR No.: 110485046


If you are choosing this payment option, then please select and copy the above text before closing this pop-up.