60 Mins Session / Mock Interview with

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 ML pipelines from scratch. I have extensively published and reviewed papers at top ML conferences (RecSys, ACL, KDD, ICML, etc) in NLP (LLMs / GenAI) and Deep Learning domains (1000+ citations). I am also an instructor at InterviewKickstart, teaching Deep Learning and GenAI to help candidates crack their next FAANG interview.

I have taken 200+ ML interviews (Modeling / Systems / Foundational / Research) to date across all levels (MLE I to Sr. Staff MLE) at big tech (Twitter/Amazon) as well as startups. I can provide you with a successful high-level structure to follow for any ML interview. More about me @ rishabhmisra.github.io

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.