Business / Product Consulation with

Leveraging extensive experience as a Machine Learning Engineer and Researcher, I provide tailored consulting to help organizations effectively design, implement, and scale ML solutions. My expertise spans the full ML lifecycle: from identifying impactful problems and curating high-quality datasets to developing, deploying, and optimizing models in production. With a strong background in NLP, recommender systems, and applied ML, I bring both academic rigor and real-world experience to projects, ensuring practical, high-performance outcomes. I also offer educational guidance and team training to help build in-house ML capabilities and foster long-term success.

If you’re an aspiring ML professional, early-career ML engineer, experienced engineer pivoting to ML, researcher, academic, or ML enthusiast, you’ve come to the right place. I offer personalized mentorship, mock interviews, portfolio advice, guidance on ML fundamentals and research, hands-on experience strategies, the ML job market, and industry trends.

A bit about my background: I am a Principal ML Engineer & Researcher with over 10 years of experience in the AI and ML space. I am currently driving LLM pretraining, postraining, and personalization efforts at Atlassian, and have previously led Deep Learning & GenAI-powered user personalization at late-stage conversation commerce startup (Attentive), Twitter, and Amazon. I specialize in designing low-latency, large-scale Deep Learning models and shipping them to production.

I have extensively published in NLP (Large Language Model / GenAI), Deep Learning, and Applied ML domains, accumulating over 1000 citations, and currently utilize my expertise as part of the research committee at leading AI conferences like ICML, KDD, TheWebConf, and so on. Due to my extensive contributions to ML Research, I am recognized by the US Government as one of the outstanding researchers.

I campaign for a data-centric approach to AI and have co-authored a book on the topic: Sculpting Data for ML. I am also passionate about teaching and have been working on creating online ML courses with Udacity and LinkedIn Learning. My work has been featured extensively in media, notably by TechCrunch, Times of India, The Sun, Hindustan Times, Gizmodo, NBC, and Slash Film.

In my downtime, I enjoy watching sci-fi shows, exercising, gaming, and spending time with my family. I presently live in the San Francisco Bay Area. You can find out more about me @ rishabhmisra.github.io