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  • 15:37 (UTC -12:00)

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Akansha051991/README.md

💫 Hello

About Me

With 6+ years of hardening infotainment systems for Porsche, Audi, and Volkswagen, I’ve traded vehicle test benches for LangGraph & LangChain workflows. I don't just build models; I engineer "production-first" AI systems defined by the same high-stakes reliability required by world-class brands. By bridging ML classifiers with deep LangSmith observability, I’m crafting autonomous agents that are as robust, tested, and high-performance as the engines I once verified.

Core Technical Stack:

  1. AI/ML: LangGraph, LangChain, Groq, NLP, Scikit-Learn, Pandas.
  2. Testing: System, HMI, Performance, and Regression Testing (JIRA, TestRail).
  3. Environment: Python, Streamlit, Test-Bench & In-Vehicle Validation.

🌐 Socials:

LinkedIn email

📊 GitHub Stats:

✍️ Random Dev Quote


Languages and Tools:

docker gcp git mysql pandas postman python pytorch scikit_learn seaborn tensorflow

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  1. movie-recommender-system movie-recommender-system Public

    A Machine Learning movie recommender system using NLP and Cosine Similarity.

    Jupyter Notebook 1

  2. sms-spam-classification sms-spam-classification Public

    An AI tool to identify spam and phishing emails. Uses Natural Language Processing (NLP) to distinguish between legitimate marketing and malicious messages. Built with Streamlit.

    Python 1

  3. LangGraph-agentic-chatbot LangGraph-agentic-chatbot Public

    🚀 Agentic Intelligence at Groq Speed. A lightning-fast assistant using LangGraph to orchestrate a multi-tool arsenal (YouTube, Search, Wiki, Weather). Featuring persistent SQLite memory and LangSmi…

    Python 1

  4. AI_Research_Agent-LangGraph-RAG AI_Research_Agent-LangGraph-RAG Public

    An agentic RAG interface built with LangGraph and Groq for ultra-fast document analysis, web search, and YouTube synthesis.

    Python 1