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index.html

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term_about.txt

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I'm currently working on scalable inference at Anthropic. Previously, I was at Applied Intuition where I focused on building and scaling our data infrastructure, particularly working with Apache Spark and Apache Hudi. Before that, I worked on search infrastructure at Uber.
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I graduated from Georgia Tech in 2021, where I had the privilege of researching under Dr. Judy Hoffman, focusing on computer vision and transfer learning across CV tasks.
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I'm always excited to connect with people who share similar interests. Feel free to reach out!

term_connect.txt

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Let's connect!
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- Email: rohit.mittapalli@gmail.com
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- GitHub: rohitmittapalli
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- LinkedIn: /in/rohitmittapalli

term_easteregg.txt

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🎉 You found the easter egg!
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Here's a secret: Try pressing 'up up down down left right left right b a' anywhere on the site...

term_fun_facts.txt

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- Claude wrote every line of this webiste, even recommended me to add this to the fun facts.

term_help.txt

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Available commands:\n\nls - List files\ncat <file> - Display file contents\nclear - Clear terminal\nhelp - Show this help message\npwd - Print working directory\necho <text> - Print text\ndate - Show current date

term_interests.txt

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- Distributed systems around large language models - in a capacity constrained world how do we make LLMs run faster and more efficiently.
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- Computer vision, specifically in Autonomous vehicles
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- Tools we should be building for LLMs that are sufficiently different from tools for humans
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- Aviation (PPL 05/24)
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- Formula 1

term_skills.txt

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Technical Skills:
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- Languages: Python, Rust, Terrafrom, Java
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- Infrastructure: K8s, Apache Spark, Hudi, GCP/AWS

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