Latest Updates

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• [Oct 2024] Published Evolving Attentive’s Personalized Recommendations to share the work I have been leading over the past year.
• [Sep 2024] Published Introduction to Maximum Likelihood Estimates with TowardsDataScience.
• [Sep 2024] Published What is Generative AI? with Analytics Vidhya.
• [Sep 2024] Published Unlock Hyper-Personalized Advertising with Generative AI with Analytics Vidhya.
• [Aug 2024] Published Introduction to Support Vector Machines — Motivation and Basics with TowardsDataScience.
• [Jul 2024] Talk on Sculpting Data for ML & Guarding the ML Galaxy with Jigyasa Grover at Developer Week.
• [May 2024] Serving as a Program Committee Member for CIKM 2024.
• [Apr 2024] Talk on 'Guarding the ML Galaxy' at Open Source Summit by The Linux Foundation.
• [Apr 2024] Talk on Sculpting Data for ML with Jigyasa Grover at Update Days: Implement AI.
• [Jan 2024] Serving as a Program Committee Member for SIGIR 2024.
• [Dec 2023] Serving as a Program Committee Member for TheWebConf 2024.
• [Sep 2023] Speaking at Salon de la Data 2023 on Sculpting Data for ML with Jigyasa Grover. [Nantes, France]
• [Jul 2023] Thoughts on the need for AI alignment and safety efforts published in in this The Sun article.
• [Jun 2023] Book chapter titled "Keeping it Low-Key: Modern-Day Approaches to Privacy-Preserving Machine Learning", published in Springer's book Data Protection in a Post-Pandemic Society; co-authored with Jigyasa Grover.
• [Jun 2023] Thoughts on the importance of Data as a Service published in in this BuiltIn article.
• [Jun 2023] Serving as a Program Committee Member for CIKM 2023.
• [May 2023] Speaking at Data Innovation Summit 2023 on Sculpting Data for ML with Jigyasa Grover. [Virtual]
• [Mar 2023] Interview on Sculpting Data for Machine Learning published by Hyperight.
• [Feb 2023] Thoughts on Digitization in retail industry using AI featured in this Colliers article.
• [Feb 2023] Publication titled "Sarcasm Detection using News Headlines Dataset" published in Journal AI Open.
• [Jan 2023] Serving as a Program Committee Member for SIGIR 2023 and ICWSM 2023.

Previously

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• [Nov 2022] Thoughts on AI changing Art Industry featured in this Hyperallergic article.
• [Nov 2022] Thoughts on how DALL-E works featured in this InterestingEngineering article.
• [Oct 2022] Expert commentary on AI tools for art generation featured in this Lifewire article.
• [Oct 2022] Thoughts on rising demand of Machine Learning skills featured in in this Reworked article.
• [Oct 2022] Expert commentary on Future of AI in acting featured in this Lifewire article.
• [Oct 2022] Serving as a Program Committee Member for TheWebConf 2023.
• [Sep 2022] Serving as a Program Committee Member for ICWSM 2023 September submissions.
• [Jul 2022] Serving as a Program Committee Member for ICDM 2022.
• [Jun 2022] Serving as a Program Committee Member for ICWSM 2023.
• [May 2022] Serving as a Program Committee Member for RecSys 2022 and TORS 2022.
• [Apr 2022] Speaking at PyCon 2022 on Sculpting Data for ML with Jigyasa Grover. [Salt Lake City, UT]
• [Mar 2022] Serving as a Program Committee Member for ECML-PKDD 2022.
• [Mar 2022] Speaking at RvaTech Data Summit on Sculpting Data for ML with Jigyasa Grover. [Richmond, VA]
• [Feb 2022] Speaking at Re-Work Enterprise AI Summit on how we scaled Tweet Reply ranking to handle tens of millions of QPS. [San Francisco, US]
• [Jan 2022] Book chapter titled Don't fake it till you make it!, a synopsis of trending fake news detection methodologies using Deep Learning, published in Springer's book Deep Learning for Social Media Data Analytics; co-authored with Jigyasa Grover.
• [Jan 2022] Serving as a Program Committee Member/Invited Reviewer for ICML 2022, SIGIR 2022, KDD 2022 and ICWSM 2022.
• [Oct 2021] Speaking at All Things Open on Curating Quality Datasets for Machine Learning. There would also be a signing and giveaway event for our book! [Raleigh, US]
• [Sep 2021] Speaking at LeadDev Live on Sculpting Data for ML. [Virtual]
• [May 2021] Got verified on Google and received my Knowledge Panel. Check it out!
• [Jan 2021] Co-authored Sculpting Data for ML book with Jigyasa Grover.
• [Jun 2020] Developed Machine Learning challenge and mentored participants for Twitter's TakeFlight20 programs
• [Mar 2020] Jointly giving a talk titled Curating Quality Datasets for Machine Learning with Jigyasa Grover at ML Conference 2020 [Munich, Germany] (Postponed due to COVID-19)
• [Feb 2020] Jointly giving a talk titled Curating Quality Datasets for Machine Learning with Jigyasa Grover at Data Day Mexico [Mexico City, Mexico] (Postponed due to COVID-19)
• [Jan 2020] Jointly giving a talk titled How to curate quality datasets for machine learning with Jigyasa Grover at Algorithm Conference 2020 [Austin, US] (Postponed due to COVID-19)
• [Dec 2019] Our research paper on Addressing Marketing Bias in Product Recommendations got selected for oral presentation at WSDM'20
• [Nov 2019] I am ranked in Top 20 dataset contributors on Kaggle. Checkout the datasets here
• [Oct 2019] Research Paper with Mengting Wan, Jianmo Ni and Julian McAuley accepted at WSDM'20
• [Aug 2019] Our research work on detecting spoilers in online reviews got featured in NBC and Gizmodo
• [Jul 2019] Jigyasa Grover and I won the Yuuvis SF Hackathon. We built an alexa skill to easily store, retrieve and share documents using the Yuuvis API. Our solution is featured here
• [Jul 2019] Our research work on detecting spoilers in online reviews got featured in TechCrunch, Geek.com, UCSD's newsletter/UC's newsletter, and TechXplore
• [Jul 2019] I'm joining Twitter as an ML Engineer in the Timelines Quality team
• [Jun 2019] Deeplearning.ai's Natural Language Processing in TensorFlow course on Coursera features my Sarcasm in News Headlines Dataset
• [Jun 2019] Presented my clothing size recommendation research at This Week in ML and AI (TWiMLAI) June meetup
• [May 2019] New dataset released! Checkout IMDB Spoiler Dataset
• [May 2019] Research Paper with Mengting Wan, Ndapa Nakashole and Julian McAuley accepted at ACL'19
• [May 2019] Checkout my next post on Towards Data Science titled Support Vector Machines — Soft Margin Formulation and Kernel Trick
• [Apr 2019] I am reviewing submissions for the Amazon's Machine Learning Conference (AMLC) 2019
• [Mar 2019] Checkout my next post on Towards Data Science titled A practical guide to collecting ML datasets
• [Feb 2019] Received a financial grant by Python Software Foundation to attend PyCon 2019 in Cleveland, Ohio
• [Feb 2019] I'll be a TA for the Text Mining course offered by Amazon's Machine Learning University
• [Feb 2019] I'll be serving as a program committee member for the SciPy 2019 conference
• [Feb 2019] Became a writer for the Towards Data Science online publication
• [Jan 2019] Started the Machine Learning Glossary initiative. Read about its USP here
• [Dec 2018] I'll be a TA for the Introduction to Data Science course offered by Amazon's Machine Learning University
• [Dec 2018] Explainatory post on our RecSys paper is out!
• [Oct 2018] Attending RecSys'18 in Vancouver, Canada. Live updates on Twitter!
• [Aug 2018] Clothing Fit Datasets from our RecSys paper are now available here!
• [Jul 2018] I started working for Amazon Global that enables customers to buy eligible products internationally
• [Jul 2018] Research Paper with Mengting Wan and Julian McAuley accepted at RecSys'18
• [Jun 2018] Completed Master's in Computer Science with specialization in Machine Learning from UC San Diego
• [Jun 2018] Two datasets released! Checkout News Headlines Dataset For Sarcasm Detection and News Category Dataset