Dr. Puja Das is an skilled in synthetic intelligence (AI) and machine studying (ML) expertise with intensive expertise in creating large-scale advice techniques throughout apps, video games, books, music and video streaming. For over a decade, she has immersed herself in creating customized experiences to resonate with customers world wide. In her work, she has discovered to mix engineering and utilized analysis with machine studying whereas navigating challenges alongside the best way.
Profession and academic success
In a discipline the place girls are sometimes underrepresented, Dr. Das has discovered nice success after incomes a bachelor’s diploma in data expertise, a grasp’s diploma in laptop science, and a PhD in Machine Studying, the place she earned the celebrated IBM PhD Fellowship award. Her profession started as an utilized analysis scientist at Apple, the place she leveraged her data of machine studying to personalize person experiences throughout the Apple Music, Apple Books, App Retailer and Apple Arcade platforms. She has spearheaded the launch of many profitable initiatives inside Apple and performed a key function in organizing machine studying summits inside Apple, to foster collaboration.
After her work at Apple, Dr. Das led a crew in making a machine learning-based commercial advice system for Twitter (now X), pushing her exterior of her consolation zone as she managed each engineering and machine studying utilized analysis groups. After Twitter, Dr. Das took on the place of head of search and personalization at Warner Bros. Discovery, overseeing the shopper viewing experiences on Max, Discovery, HBO, and different choices. Her crew makes a speciality of personalizing the person expertise utilizing advanced AI/ML algorithms below the hood.
Dr. Das and her crew performed a key function in launching WBD’s Max as a streaming platform globally. Whereas creating trade impression and redefining the person expertise by means of personalization, she additionally continues to keep up her analysis presence by publishing and peer reviewing for worldwide conferences and journals in her discipline. This stability between sensible utility and scholarly work showcases her dedication to advancing each the trade and her discipline of research.
Challenges and altering narratives
For all her success, Dr. Das’s profession has not been with out challenges. In her expertise, she discovered that there was a shortage of function fashions in her discipline, significantly girls and minority leaders in machine studying.
“I’ve made it a personal goal,” says Dr. Das, “to contribute to changing the narrative around women and minorities in machine learning. I engage in outreach efforts, including speaking at conferences, participating in panels, and mentoring aspiring technologists. By sharing my journey and the lessons I’ve learned along the way, I hope to inspire a new generation of leaders who can see themselves reflected in the roles they aspire to hold.”
Via her work and illustration, Dr. Das is overcoming this problem in her discipline. This effort has fueled her want to ascertain an inclusive and numerous atmosphere within the tech trade, opening avenues for brand spanking new concepts and improvements and permitting unexplored views to alter the panorama. Moreover, Dr. Das has bridged gaps between knowledge scientists and trade stakeholders, merging the worlds of academia and practicality to create workable, forward-thinking options.
Making an impression in her discipline
Endurance and persistence have been driving elements behind Dr. Das’s success, attributes whose worth she hopes to impart to others. Hers is a journey between tutorial perception and sensible functions, accomplished solely by means of steady analysis, adaptability, and an understanding of the implementation of latest applied sciences. Her data as a pacesetter in AI and ML applied sciences has impacted massive firms and served to encourage the following era of girls in her discipline.
Seeking to the longer term
Transferring ahead, Dr. Das hopes to turn into extra concerned in AI’s increasing attain throughout expertise, arts, and healthcare, leveraging her intensive experience to launch her personal enterprise into the sector.
VentureBeat newsroom and editorial workers weren’t concerned within the creation of this content material.
