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Hi👋, I am Kashif!

AI Engineer | Machine Learning | Generative AI

👀 This is Muhammad Kashif, an AI Engineer, Equipped with a Master of Science in Artificial Intelligence from NED University Karachi, PK and a Bachelor of Science in Computer Science from SMI Uiversity Karachi, PK, I bring four years of extensive industry experience to the table. I'm passionate about leveraging my expertise to empower organizations and drive them towards achieving AI-powered success.

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🙋‍♂️ About Me

  • 🎓 Driven to achieve excellence in Artificial Intelligence
  • 🗣️ I’m looking to collaborate with Open-Source Projects and freelance work.
  • 📫 Reach out to me @[email protected].
  • Goal for 2024 ->> To Become a Fullstack AI Engineer
  • 😎 Fun fact: I love to lift weights and play Cricket.

 

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    🎯  I’m looking to collaborate on AI Projects...

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🏆 Achievements

  • Co-developed deep learning algorithms using TensorFlow, Keras, and OpenCV for perception, mapping, and localization in Autonomous Driving, contributing to state-of-the-art point cloud processing and navigation.
  • Led the scaling and UI/UX overhaul of the Hayat app (Pakistan & Afghanistan), resulting in a 3x performance boost and resolving critical crashes and bugs, empowering frontline workers to improve MNCH service delivery.
  • Customized open-source and paid LLM models (OpenAI, Google Gemini Pro, etc.) to meet project requirements, achieving a 20% improvement in performance goals.
  • Developed scalable AI solutions using LangChain and LlamaIndex frameworks. These solutions include:
    • Smart ATS: Increased applicant screening efficiency by 2x times.
    • Nutrients Tracker: Improved user health management by leveraging Gemini Pro to track nutrients directly from the images of their meals.
    • Invoice Extractor: Automated data extraction, saving a few hours of the work week.

💻My Expertise

Python Jupyter TensorFlow OpenCV Google Cloud NumPy VSCode PyTorch

📈 My Stats

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Muhammad Kashif's Projects

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Breast cancer classification web app

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Connect 4 programmed in python using pygame.

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using Easy OCR for Optical Character Recognition in Python

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Dashboard app to perform EDA using Streamlit

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