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Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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Miranics/README.md

Miranics

Software and machine learning engineer. I build practical full-stack and AI solutions with strong foundations in reliability, support, and product delivery.

About

I build production-ready applications and reproducible ML systems. My work spans model development, data pipelines, web backends and frontends, and deployment automation. I prioritize clarity, reproducibility, and practical impact.

Areas of expertise

  • Machine Learning & Deep Learning (modeling, evaluation, deployment)
  • Full‑stack development (React, Node.js, Python APIs)
  • MLOps & Cloud (Docker, Kubernetes, CI/CD)
  • High‑performance computing (CUDA, C++) and quantum‑adjacent research

Skills

AWS
AWS
72%		 Bash
Bash
82%		 C
C
75%		 Docker
Docker
75%		 Firebase
Firebase
72%		 Flask
Flask
75%
Flutter
Flutter
70%		 Git
Git
90%		 GitHub
GitHub
90%		 GitHub Actions
GitHub Actions
80%		 JavaScript
JavaScript
85%		 Jupyter
Jupyter
85%
Linux
Linux
85%		 MATLAB
MATLAB
68%		 Matplotlib
Matplotlib
78%		 NumPy
NumPy
90%		 OpenCV
OpenCV
85%		 Pandas
Pandas
88%
Python
Python
95%		 PyTorch
PyTorch
95%		 React
React
85%		 Rust
Rust
70%		 Scikit-learn
Scikit-learn
92%		 TensorFlow
TensorFlow
95%

Here are some projects

Contact

Pinned Loading

  1. cuda-quantum cuda-quantum Public

    Forked from NVIDIA/cuda-quantum

    C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

    C++ 1

  2. platform platform Public

    Forked from hcengineering/platform

    Huly — All-in-One Project Management Platform (alternative to Linear, Jira, Slack, Notion, Motion)

    TypeScript 1

  3. ML-Cardiovascular-Disease-Risk-Prediction ML-Cardiovascular-Disease-Risk-Prediction Public

    Predicting cardiovascular disease using supervised machine learning techniques.

    Jupyter Notebook 1

  4. ML_Multimodal-User-Auth-System ML_Multimodal-User-Auth-System Public

    End-to-end multimodal machine learning pipeline for secure product recommendation. The system authenticates a user using face and voice checks before allowing a product prediction.

    Jupyter Notebook 1