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Achievement: Pull SharkAchievement: Quickdraw

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nnoman-asif/README.md

💫 About Me:

🔭 I’m currently working on AI engineering across models, pipelines, and production systems.
🤝 I’m looking to collaborate on Any AI/ML project that solves real problems.
🤝 I’m looking for help with Challenging AI problems and product-minded teams.
🌱 I’m currently learning Broader, advanced AI techniques.
💭 Ask me about Related to AI.
⚡ Fun fact I learn by building.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

C C# C++ CSS3 HTML5 JavaScript LaTeX Markdown Python Azure AWS Vercel Anaconda Bootstrap Django FastAPI Flask JWT NPM NodeJS OpenCV Qt React React Native Streamlit MicrosoftSQLServer MongoDB MySQL Neo4J Postgres Redis Adobe Lightroom Canva Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Git GitHub Cypress Selenium Docker Grafana Jira Kubernetes Postman Swagger Twilio

📊 GitHub Stats:



✍️ Random Dev Quote

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    Fine-tuned Ministral 3B for CVE vulnerability analysis using QLoRA/PEFT.

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  4. neural-network-from-scratch neural-network-from-scratch Public

    A complete neural network library built from scratch using only NumPy. No frameworks - just pure math.

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  5. CNN-from-scratch CNN-from-scratch Public

    A complete CNN implementation from scratch using only Numpy, featuring Conv2D, Pooling, BatchNorm, backpropagation, and visualizations. Includes PyTorch version for comparison

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  6. YOLO26-vs-YOLO12-Benchmark YOLO26-vs-YOLO12-Benchmark Public

    Practical benchmark comparing YOLO26x (NMS-free) and YOLO12x (NMS-based) object detection models. Includes side-by-side visual comparisons, latency/memory benchmarks on CPU & CUDA, and reproducible…

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