Latest Updates
Previously
- [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
