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Kaleemullahqasim/README.md

Hi there πŸ‘‹, I'm Kaleemullah Qasim!

I specialize in Large Language Models (LLMs), Prompt Engineering, and Natural Language Processing (NLP), with a particular focus on applying LLMs in the field of cybersecurity πŸ”’.

πŸ“š Academic Pursuits

  • PhD in Large Language Models and Cybersecurity: Currently pursuing my doctorate at Southwest Jiaotong University.
  • Research Interests: Dedicated to advancing knowledge in LLMs, NLP, cybersecurity, machine learning, and deep learning through rigorous research and innovation 🧠.

πŸ’» Technical Expertise

  • RAG Development: Enhancing LLM accuracy.
  • LangChain Applications: Implementing modular LLMs.
  • OLLAMA Research: Focusing on scalable LLMs.
  • Open-Source LLMs: Leading contributions and innovations.
  • LLM Fine-Tuning: Specializing in model optimization.
  • Visual Anomaly Detection: Pioneering in visual LLM applications.
  • Multimodal LLM Integration: Creating robust multimodal systems.
  • Prompt Engineering: Advancing LLM interactions.
  • Python Development: Driving automation with Python.
  • Python Developer: Enthusiastic about Python, automation, and contributing to open-source projects on GitHub 🐍.
  • Data Mining & Scraping: Proficient in extracting insights and conducting legal data scraping πŸ“Š.
  • Machine Learning & Deep Learning: Experienced in developing sophisticated models using state-of-the-art algorithms πŸ€–.
  • Programming Languages: Proficient in Python, with working knowledge of Java πŸ’Ό.
  • Writing: Regular contributor to discussions on NLP and LLMs on Medium ✍️.

🎯 Professional Objectives

  • Innovation: Driven to push the boundaries of NLP and cybersecurity through innovative research and collaborative projects πŸš€.
  • Community Contribution: Actively sharing knowledge and fostering growth within the tech community 🌐.

πŸ› οΈ Skills

  1. RAG πŸ”„: Enhancing LLM accuracy.
  2. LangChain πŸ”—: Practical LLM applications.
  3. OLLAMA πŸ’‘: Researching scalable LLMs.
  4. Open-Source LLMs 🌐: Leading LLM contributions.
  5. LLM Training πŸ“–: Model fine-tuning expertise.
  6. Visual Anomaly Detection πŸ”§: Innovating in visual LLMs.
  7. Multimodal LLMs πŸ”: Creating robust multimodal models.
  8. Prompt Engineering 🧩: Expert in advanced prompt techniques.
  9. Python Automation 🐍: Automating with Python.
  10. Data Analysis πŸ“ˆ: Insightful data extraction.
  11. Web Scraping 🌐: Ethical data collection.
  12. ML Algorithms πŸ€–: Algorithm development.
  13. Deep Learning 🧠: Using advanced frameworks.
  14. NLP πŸ“–: Specializing in language processing.
  15. Cybersecurity πŸ”’: Implementing security measures.
  16. Open-Source Collaboration 🀝: Fostering community growth.
  17. Research & Publication πŸ“š: Publishing in top journals.
  18. Project Management πŸ“‹: Leading diverse projects.

Feel free to explore my GitHub profile and connect with me on LinkedIn!

πŸ“© Reach me at: [email protected] | [email protected]

Pinned Loading

  1. ParallelFileConcatenator ParallelFileConcatenator Public

    Python 1

  2. IAmBlackHacker/Facebook-BruteForce IAmBlackHacker/Facebook-BruteForce Public

    Bruteforce attack on Facebook account using python script

    Python 1.8k 598

  3. suniven/youtube-shorts suniven/youtube-shorts Public

    Python 1 3

  4. affiliate_patterns_reco affiliate_patterns_reco Public

    Python

  5. Classifying-Ads-and-Non-Ads Classifying-Ads-and-Non-Ads Public

    Forked from anchit2000/Classifying-Ads-and-Non-Ads

    this is a test for personal use

    Jupyter Notebook

  6. Youtube_Video_Curation_Dataset Youtube_Video_Curation_Dataset Public

    Analyzing YouTube Content: From Video Descriptions to Viewer Engagement Metrics