$500 / month
2 calls per month (60min/call)
Unlimited Q&A via chat
Expect responses in 24 hours or less
I specialize in fast-tracking careers and providing technical strategies to upskill in Modern ML and GenAI. Whether you are an engineer looking to grow in the AI/ML space, a product leader defining your GenAI roadmap, a researcher looking to publish, or a founder validating technical feasibility, I provide the strategic clarity and technical oversight necessary to build production-grade AI systems that deliver measurable business impact.
My Track Record & Outcomes: My mentees have used our sessions to:
→ Secure Top-Tier Offers: Landed AI/ML engineering roles at LLM unicorn startups, FAANG, and major tech firms.
→ Bridge the Systems Gap: Successfully pivoted from pure software engineering or QA to high-impact ML and Data Engineering roles.
→ Navigate Complex Promotions: Strategically navigated Senior to Staff/Principal transitions through architectural deep-dives and behavioral interview prep.
→ Scale & Optimize Systems: Transformed research-grade prototypes into production-grade architectures (RecSys, Agentic workflows, LLM post-training).
→ Validate Technical Strategy: Helped Product Leaders and Founders make the "build vs. buy" decision on GenAI features, saving thousands in unnecessary infrastructure spend.
My Background: I am a Principal ML Engineer & Researcher with over a decade of experience in the AI and ML space. I am currently driving LLM postraining and generative 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 1.2k 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. You can find out more about me at rishabhmisra.github.io
How to get started: Please book an intro session. To ensure we make the most of our time, please include a brief overview of your current context and your primary goal (e.g., career pivot, Senior+ level promo, product roadmap validation, or architectural deep-dive) in your request message. I look forward to working with you.
5 out of 5 stars
Mr. Rishabh is a spectacular aide when it comes to feeding curiosity while also keeping you focused on the correct path to follow. He provides adequate resources as well as advice that allows people to learn at their own pace and become mostly self-sufficient. He is a great help if you want to break into the ML space.
Lite Plan • 4 months
5 out of 5 stars
Rishabh has been an amazing mentor. He has been an instrumental part of allowing me to grow my confidence as a ml practitioner. It almost seems like there is no problem he is not familiar with, from recommender systems to optimization he really has a range of experience and depth of knowledge that only a select few engineers can contain in one head. He is also attentive and quick to answer any questions. Could not recommend more!
Pro Plan • 1 month
5 out of 5 stars
I got a great offer as an applied AI engineer at a major LLM unicorn startup thanks to Rishabh! He helped me cover the breadth and depth of LLM knowledge, and I also learned a lot from him when it comes to best practices in deployment and optimization, which I didn't have extensive experience at work. the mentorship is structured and flexible in the meantime as we would decide the agenda and topics ahead of time. highly recommend!
Standard Plan • 1 month
Principal ML Architect | Researcher | Author | Speaker | Advisor
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Learn how to design, build, evaluate, and deploy production-ready recommender systems that leverage the power of GenAI for enhanced personalization, …
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Mentees who work with a mentor for 3+ months reach their goals 2x faster than those going it alone. Long-term mentorship means fewer false starts, more focused sessions, and support that builds week after week.
97% satisfaction across all mentors
Personalized feedback and growth plans
Trusted by thousands of mentees
Rishabh Misra
Principal ML Engineer / Tech Lead at Atlassian
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One-off sessions with Rishabh
One-off sessions are a great option if you're looking for specific advice on a certain topic.
Hi there, this is an open-ended session where you can ask me anything relevant, drawing from my experience. Following is my brief bio, but you …
I am a Staff ML Engineer & Researcher by profession and co-author of the book "Sculpting Data for ML." I have experience designing low-latency, massive-scale …
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 …
