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Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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@StudentCode-in

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akanksha-raghav/README.md
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Hey there, I'm Akanksha Waving Hand

I am an Applied AI Engineer and Backend Developer bridging the gap between scalable microservices and intelligent LLM workflows. I build reliable, production-grade AI systems focused on high throughput, cost optimization (like context caching), and measurable business impact.

Current Stack & Focus:

  • AI/ML: Gemini 2.5, LangGraph, RAG (FAISS, Azure AI Search), LoRA/QLoRA, LLM-as-a-Judge (DeepEval, RAGAS)
  • Backend: Java 21, Spring Boot, Python, FastAPI
  • Cloud/Ops: Azure, AWS, Docker, Grafana

📝 Check out my technical writing on Medium where I discuss LLM orchestration, system architecture, and scaling enterprise AI.


LinkedIn   Medium   DEV.TO   Portfolio

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Handshake 👉 akanksha-raghav.github.io

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  1. StudentCode-in.github.io StudentCode-in.github.io Public

    Forked from StudentCode-in/StudentCode-in.github.io

    Central Repository of Student Code-In website

    HTML

  2. AI-Incident-Investigation-Agent AI-Incident-Investigation-Agent Public

    This tool uses a multi-agent LangGraph pipeline to automatically investigate production incidents by analyzing logs, metrics, and deployment history.

    Python