I started out as a Mechanical Engineer at KL University and ended up falling hard for software. These days I'm an Application Engineer at Amazon, where I keep backend services healthy and automate away the boring parts.
name: Krishna Sai Pala
role: Application Engineer @ Amazon
location: India 🇮🇳
focus: [ Backend, Linux, AWS, Automation, Databases ]
learning: [ Distributed Systems, Shell Scripting, LLMs ]
ask_me_about: [ Java, Python, Linux, AWS, Shell ]
fun_fact: "I could talk about Astrophysics and SpaceX for hours 🚀"- 🔭 Building and operating backend services at Amazon
- 🌱 Going deep on Linux internals, AWS, and distributed systems
- 🧪 Recently played with LLM embeddings + vector databases for fraud detection
- 👯 Open to collaborating on backend / cloud / automation projects
- 📝 I learn best by reading other people's code — then rewriting it my way
- 💬 Ask me anything about Java, Linux, AWS, Python, or shell scripting
Languages & Frameworks
Cloud, Infra & Tools
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Flags anomalous transactions using LLM embeddings and transformer models over a vector store.
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Records and replays HTTP traffic — a lifesaver when you're testing against a flaky upstream.
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Worked, tested solutions to problems from the EPI book. |
30 Days of Code and 10 Days of JavaScript — solved and annotated.
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🖥️ My dev setup & the rest of the toolbox
Daily driver
Also comfortable with
When I'm most productive
