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.
Book used in Deeplearning.ai's NLP course on Coursera & Google's TensorFlow professional certification program.
Comprehensive course covering model parallelism, DeepSpeed, TensorRT-LLM, and Triton Inference Server.
Designing, building, and deploying production-ready recommender systems using GenAI.
"I was able to land an MLE FAANG offer with his reviews and prep material. 10/10 recommend!"
"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!"
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.