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In an era where the digital realm wields enormous influence, preserving online integrity is of paramount importance. In this article we cover a discussion with Deepanjan Kundu, a seasoned Machine Learning (ML) software engineering expert with over 7 years of experience, has emerged as a prominent figure in the tech industry for his pivotal role in using Machine Learning for upholding online integrity. With significant contributions at both Meta (formerly Facebook) and Google, Deepanjan's journey has left an indelible mark on the landscape of Machine Learning for Online Safety.
Online safety and responsibility focuses on protecting individuals and communities from online threats such as cyberbullying, harassment, scams, and harmful content, thereby creating a secure online environment. These principles are vital for safeguarding users, fostering trust, sustaining digital ecosystems, and meeting legal and ethical obligations in the ever-evolving digital landscape.
Deepanjan Kundu's expertise in Machine Learning forms the foundation of his impactful career. With a background in AI/ML-driven software engineering, he has dedicated over seven years to mastering the intricacies of ML algorithms, models, and applications. His passion for this field is evident in his various roles across tech giants.
Deepanjan's dedication to the cause of machine learning and online integrity extends beyond his professional roles. He has actively contributed to the tech community by serving on program committees for renowned research conferences such as ISCV, ACM CUI, SEAA DAIDE. Additionally, he has lent his expertise as a judge for research conferences like NeurIPS and for technical awards, including the Globee Awards and UK Tech Business Innovation Awards.
Deepanjan Kundu's commitment to online safety began at Google, where he took on the role of Software Engineer for the NBU (Next Billion Users) Product Neighbourly. In this capacity, he focused on enhancing content quality, ensuring that users of this innovative product enjoyed a safe and enriching digital experience.
Deepanjan Kundu's journey in advancing online safety continued when he joined YouTube, a subsidiary of Google. There, he served as a Senior Software Engineer with a specific focus on Machine Learning for YouTube Live Chat and YouTube Comments, two vital components of one of the world's largest video-sharing platforms. His mission dovetailed with Google's Responsibility Pillar, where Deepanjan worked diligently to ensure that YouTube content and interactions adhered to community guidelines and ethical standards. Over the course of 3 years, he worked tirelessly on enhancing fairness and deploying LLMs (Large Language Model) for classification and ranking, which significantly improved the quality of user interactions on these platforms.
Deepanjan's role encompassed the strategic use of machine learning to detect and address inappropriate or harmful content in real-time. Over the course of his tenure, he played a pivotal role in enhancing the safety and responsibility of user interactions. Moreover, as a Technical Lead for Language Models for Live Chat, he contributed to the development of advanced language models that enriched the quality of communication on the platform.
Deepanjan Kundu's dedication to online safety took a new direction when he transitioned to Meta (formerly Facebook). At Meta, he applied his extensive machine learning expertise to the field of Facebook Integrity. In this pivotal role, he tackled the complex challenge of ensuring that content shared across the global social media platform met the highest standards of responsibility.
During his tenure at Meta, Deepanjan continued to harness the power of machine learning. As a Technical Lead for Personalized Integrity, he leads efforts to tailor the platform's responsibility and ranking measures to individual user profiles. His diligent work in enhancing personalized integrity helped create a more trustworthy and responsible online experience for Meta's vast user base.
Deepanjan Kundu's career trajectory underscores the vital role that machine learning and artificial intelligence play in preserving online safety and responsibility. His innovative work enhances not only the user experience but also bolsters the broader digital ecosystem by promoting responsible and ethical online interactions.
As an expert in the field, Deepanjan Kundu has significantly contributed to making the digital world a safer and more responsible place for users worldwide. His dedication serves as a testament to the importance of harnessing technology to ensure that online spaces remain secure and responsible, even in an era marked by rapid digital evolution.
