Industry Leader

Principal ML Engineer & Researcher Building AI at Scale

Recognized by the US Government for outstanding contributions to Machine Learning research. Currently leading a 20+ person team at Atlassian on LLM pre-training, post-training, and generative personalization.

Partner with me Advisory & Consulting Invite to speak

1,150+ Citations

Top 1% Global Citation Impact

180K+ Dataset Downloads

20+ Conference PC Roles

10M+ QPS Systems Built

As Seen In

TechCrunch Gizmodo NBC The Sun The Sun Times of India Lifewire Reworked

Featured Work

Publication

Sculpting Data for ML

Book used in Deeplearning.ai's NLP course on Coursera & Google's TensorFlow professional certification program.

Udacity Course • 2025

Advanced LLM Inference Optimization

Comprehensive course covering model parallelism, DeepSpeed, TensorRT-LLM, and Triton Inference Server.

LinkedIn Learning • 2026

Building LLM-Powered Recommendation Systems

Designing, building, and deploying production-ready LLM-powered Recommender Systems.

What People Say

"I was able to land an MLE FAANG offer with his reviews and prep material. 10/10 recommend!"

Review via MeetAPro

"He really has a range of experience and depth of knowledge that only a select few engineers can contain in one head. Could not recommend more!"

Benjamin, MentorCruise

Latest Updates See all →

[Oct 2025] Online course on LLM Inference Optimization released on Udacity.
[Sep 2025] Starting as Principal ML Engineer / Tech Lead at Atlassian — leading LLM pre-training, post-training, and generative personalization.
[Aug 2025] Presented "Open Source Tools for LLM Face-Offs" with Jigyasa Grover at AI Dev 2025. [Amsterdam, Netherlands]
[Jun 2025] Presented "Guarding the LLM Galaxy" with Jigyasa Grover at Open Source Summit 2025. [Denver, Colorado]
[Jan 2025] Invited to serve at Meta's Research Advisory Council.
[Jan 2025] Invited to serve as a Program Committee Member at SIGIR 2025.
[Dec 2024] Expert commentary on AI alignment and safety published in The Sun.
[Oct 2024] Published Evolving Attentive's Personalized Recommendations.

Full Archive

[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 with TowardsDataScience.
[Jul 2024] Talk on Sculpting Data for ML & Guarding the ML Galaxy with Jigyasa Grover at Developer Week. [Nuremberg, Germany]
[May 2024] Serving as a Program Committee Member for CIKM 2024.
[Apr 2024] Talk on 'Guarding the ML Galaxy' at Open Source Summit. [Seattle, US]
[Apr 2024] Talk on Sculpting Data for ML with Jigyasa Grover at Update Days: Implement AI. [Prague, Czechia]
[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. [Nantes, France]
[Jul 2023] Thoughts on AI alignment and safety published in The Sun.
[Jun 2023] Book chapter "Keeping it Low-Key: Modern-Day Approaches to Privacy-Preserving Machine Learning" published in Springer.
[Jun 2023] Thoughts on the importance of Data as a Service published in BuiltIn.
[Jun 2023] Serving as a Program Committee Member for CIKM 2023.
[May 2023] Speaking at Data Innovation Summit 2023 on Sculpting Data for ML. [Virtual]
[Mar 2023] Interview on Sculpting Data for Machine Learning published by Hyperight.
[Feb 2023] Thoughts on Digitization in retail industry featured in Colliers.
[Feb 2023] Publication "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.
[Nov 2022] Thoughts on AI changing Art Industry featured in Hyperallergic.
[Nov 2022] Thoughts on how DALL-E works featured in Interesting Engineering.
[Oct 2022] Expert commentary on AI tools for art generation featured in Lifewire.
[Oct 2022] Thoughts on rising demand of Machine Learning skills featured in Reworked.
[Oct 2022] Expert commentary on Future of AI in acting featured in Lifewire.
[Oct 2022] Serving as a Program Committee Member for TheWebConf 2023.
[Jul 2022] Serving as a Program Committee Member for ICDM 2022.
[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. [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. [Richmond, VA]
[Feb 2022] Speaking at Re-Work Enterprise AI Summit on scaling Tweet Reply ranking to 10M+ QPS. [San Francisco, US]
[Jan 2022] Serving as a Program Committee Member for ICML 2022, SIGIR 2022, and KDD 2022.
[Jan 2021] Co-authored Sculpting Data for ML book with Jigyasa Grover.
[Dec 2019] Research paper on Addressing Marketing Bias in Product Recommendations selected for oral presentation at WSDM'20.
[Nov 2019] Ranked in Top 20 dataset contributors on Kaggle.
[Jul 2019] SpoilerNet research featured in TechCrunch, Gizmodo, and NBC.
[Jul 2019] Joined Twitter as an ML Engineer in the Timelines Quality team.
[Jun 2019] Deeplearning.ai's NLP in TensorFlow course on Coursera features my Sarcasm Dataset.
[May 2019] Research paper with Mengting Wan, Ndapa Nakashole and Julian McAuley accepted at ACL'19.
[Jul 2018] Research paper with Mengting Wan and Julian McAuley accepted at RecSys'18.