Aayush Agrawal
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Welcome to aayushmnit.com

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I am an experienced Machine Learning Engineer with a strong focus on designing and implementing machine learning-driven solutions. Passionate about cutting-edge data technologies, my expertise spans big data platforms, deep learning, optimization techniques, and business analytics.

Currently, I work as a Machine Learning Engineer on the Video Recommendations team at Meta, where I specialize in improving exploration strategies for the interest-oriented recommendations in Facebook Reels. Previously, at Microsoft, I developed data-driven products to deliver intelligent recommendations, empowering Microsoft Partners, M365 administrators, and end-users to optimize M365 service usage.

My diverse experience includes working across various industries such as agricultural technology, pharmaceuticals, retail, e-commerce, and ride-sharing, contributing innovative solutions to complex challenges.

Read more about me here.

Check out the latest draft of my book - “The Pytorch Book”. If you enjoy the content, please consider giving it a star✨ on Github.

Latest Blogs - Subscribe

Click here to check out more blogs.

Diversity in Recommendations using Personalized DPP (pDPP)

Part 3 of the diversity series: Why one-size-fits-all diversity doesn’t work, and how to personalize it per user.
Jan 1, 2026
Aayush Agrawal

Diversity in Recommendations - Determinantal Point Processes (DPP)

Part 2 of the diversity series: Moving from greedy MMR to principled probabilistic frameworks with DPPs
Dec 28, 2025
Aayush Agrawal

Diversity in Recommendations - Maximal Marginal Relevance (MMR)

Beyond Accuracy: Using Maximal Marginal Relevance to create more diverse and engaging recommendations.
Dec 25, 2025
Aayush Agrawal
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