# AI/ML Engineer - Aspiring Data Scientist | ML/AI Engineer | Full-Stack ML Developer
Source: https://hello.cv/unstoppablegaming
San Francisco

## Links
- LinkedIn | https://linkedin.com/in/yourlinkedinprofile
- GitHub | https://github.com/yourgithubusername

## About
Highly motivated and results-oriented professional with a strong foundation in Python, machine learning, and deep learning frameworks (PyTorch, TensorFlow). Eager to leverage expertise in computer vision, model deployment (FastAPI, Flutter), and UI/UX design (Figma, HTML/CSS) to develop innovative AI-driven solutions. Seeking a challenging Data Science, ML, or AI Engineering role to contribute to cutting-edge projects and drive impactful technological advancements.

## Education
### University Name | Computer Science / Data Science / Artificial Intelligence
3.8/4.0 | https://www.university.edu
- Machine Learning
- Deep Learning
- Computer Vision
- Data Structures & Algorithms
- Statistical Methods for Data Science

## Languages
- English

## Skills
### Programming Languages
- Python
- HTML
- CSS
### Machine Learning & Deep Learning
- PyTorch
- TensorFlow
- Computer Vision
- OpenCV
- Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transfer Learning
- Model Training & Evaluation
### MLOps & Deployment
- FastAPI
- RESTful APIs
- Docker
- Git
- Flutter (Mobile ML Deployment)
### Data Science Tools
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-learn
### Design & Prototyping
- Figma
- Adobe After Effects
- UI/UX Design Principles

## Projects
### Real-time Object Detection with FastAPI & OpenCV
https://github.com/yourgithubusername/object-detection-api
Developed an end-to-end real-time object detection system capable of identifying and localizing multiple objects within live video streams. The project integrated advanced Computer Vision techniques with a scalable API for deployment.
### Mobile-first Image Classification with Flutter & TensorFlow Lite
https://github.com/yourgithubusername/mobile-ml-app
Created a mobile application for image classification, demonstrating the deployment of machine learning models on edge devices. This project focused on optimizing model performance for mobile environments.
### AI-Powered Content Recommendation System
https://github.com/yourgithubusername/recommendation-system
Built a content recommendation engine using collaborative filtering and deep learning techniques to personalize user experiences. The system aimed to increase user engagement and content discovery.

## Source
Read this profile on Hello.cv: https://hello.cv/unstoppablegaming
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