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arkalibaig/README.md

Arkali Baig

AI Systems | Machine Learning | Python

Self-taught Machine Learning Developer from Hunza, Gilgit-Baltistan, Pakistan. I build practical end-to-end AI systems and work on real-world data problems, from raw API extraction to deployed models.

Location  ->  Hunza, Gilgit-Baltistan, Pakistan
Focus     ->  Deep Learning | Computer Vision | Local LLM Inference  
Email     ->  [email protected]

The Stack


Selected Projects

[Karakoram-Trends]  ->  ERA5 bias-corrected climate analysis of Gilgit-Baltistan
                        Corrected a 16x warming inflation caused by ECMWF 2016
                        data discontinuity. 5 stations, 31 variables, 1990-2024.
                        Dataset published on Kaggle under CC BY 4.0.

[digit_recognition] ->  CNN trained on MNIST with live Gradio interface.
                        Real-time handwritten digit classification.

[mobile-llm]        ->  Local LLM inference accessible from phone over Wi-Fi.
                        Built with Ollama and Streamlit. Privacy-first.

Karakoram-Trends | digit_recognition_cnn | mobile-llm-inference


Connect

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  1. hunza-climate-analysis hunza-climate-analysis Public

    A 25-year longitudinal analysis of climate trends in Hunza, Pakistan (2000–2025), featuring a custom web scraper and data visualization of a +2.53°C per decade warming trend.

    Jupyter Notebook

  2. Karakoram-Trends Karakoram-Trends Public

    Climate analysis of Gilgit-Baltistan (1990–2024). Resolves a +9°C "fake jump" in ERA5 satellite data to reveal a real warming rate of +0.09°C/decade and the rise of rain-over-snow elevations.

    Python