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daudibrahimhasan/README.md

if you like what I do, maybe consider, email :)

📊 this is spent my time on:

Python           307,406 lines    ████████████░░░░░░░░       60.19 %
JavaScript        91,142 lines    ████░░░░░░░░░░░░░░░░       17.85 %
TypeScript        44,575 lines    ██░░░░░░░░░░░░░░░░░░        8.73 %
Jupyter Note      24,921 lines    █░░░░░░░░░░░░░░░░░░░        4.88 %
HTML              18,044 lines    █░░░░░░░░░░░░░░░░░░░        3.53 %
CSS               10,186 lines    ░░░░░░░░░░░░░░░░░░░░        1.99 %
Kotlin             9,707 lines    ░░░░░░░░░░░░░░░░░░░░        1.90 %

Estimated: ~16739 hrs 33 mins ≈ 1.9 years non-stop (24/7)
Lines of Code: 510,691

generated with gitChrono built by @daudibrahimhasan

👨‍💻 About Me

I'm an AI Engineer and Founder of Nexasity AI, specializing in designing, building, and deploying production-grade AI systems. My work spans machine learning, large language models, backend engineering, and full-stack product development, with a focus on transforming AI research into reliable, user-facing applications. Recent projects include decision intelligence, citation verification, retrieval-augmented generation (RAG), offline AI, forecasting, developer tooling, and LLM evaluation and reliability.

Python | Machine Learning | Large Language Models (LLMs) | Artificial Intelligence | Generative AI | Prompt Engineering | Retrieval-Augmented Generation (RAG) | FastAPI

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    Offline-first Quran verse recognition app that identifies Surah and Ayah from live recitation using on-device Whisper AI.

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    A full-stack prediction engine — from raw data to a polished interactive UI — that forecasts the winner, the scoreline and the goalscorers for every match of the 2026 FIFA World Cup.

    TypeScript

  5. whyLayer whyLayer Public

    whyLayer is a decision intelligence engine that interrogates your decisions before you make them. It uses multi-LLM psychological profiling to expose hidden fears, delusions, and real motivations —…

    Python

  6. record-report-divergence record-report-divergence Public

    Code, data, and reproduction suite for 'When the Record and the Report Diverge: Structured Provenance Degrades Post-Hoc Self-Report in Claude Haiku 4.5

    Python