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Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx3

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Palwisha-18/README.md

Hello 👋, I'm Palwisha Akhtar

  • 🧞 Applied AI/ML engineer based in Canada.
  • 🔎 Have deep interest in parallel and multicore computing. I have worked on communication detection tools for identifying inter-thread communication in shared-memory systems as well as intra-node and inter-node multi-GPU systems.

I love experimenting with different tools and languages. Here are the technologies I use or have used:

Python Django DjangoREST FastAPI Streamlit

OpenCV Pandas

PostgreSQL Redis

Docker Amazon AWS

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  1. interview_prep_buddy interview_prep_buddy Public

    AI-powered interview preparation tool providing real-time feedback using local AI models (Ollama, Whisper) for speech analysis and response evaluation 🎯

    Python

  2. wikipedia_research_assistant wikipedia_research_assistant Public

    An MCP-powered Python agent that answers natural language questions by querying Wikipedia content.

    Python

  3. django-drf-template django-drf-template Public

    Template for Django (DRF) Project

    Python 17 7

  4. time_series_analysis_lex_vs_gdp time_series_analysis_lex_vs_gdp Public

    Analyzes how a country’s GDP per capita correlates with the life expectancy of its citizens over a period of about 100+ years

    Jupyter Notebook

  5. ComScribe ComScribe Public

    Identifying Intra-node GPU Communication

    Python 1

  6. book-sentiment-analysis book-sentiment-analysis Public

    Analyse book using regex and nltk

    Jupyter Notebook