👋 Hi, I’m @Yonathan Daniel, a Master of Science in Computer Science student at Columbia University with a strong foundation in Computer Engineering from The Pennsylvania State University. As a tech enthusiast and problem solver, I leverage my expertise in machine learning, artificial intelligence, and cloud computing to develop innovative solutions that address real-world challenges. My passion lies in building scalable and efficient systems that harness the power of data and AI to drive impactful outcomes.
👀 I hold a bachelor’s degree in Computer Engineering, where I graduated on the Dean’s List multiple semesters, and I’m currently pursuing advanced studies in areas like Natural Language Processing, Computer Vision, and High-Performance Machine Learning. With hands-on experience in backend and full-stack development, I’ve worked on projects ranging from AI-driven healthcare applications to autonomous robotics systems. My goal is to continue bridging the gap between cutting-edge technology and practical applications to create solutions that make a difference.
- Probability and Statistics
- Exploratory Data Analysis: Python, MATLAB
- Data Visualization: Matplotlib, Seaborn
- Data Manipulation: Pandas
- Relational Databases: SQL, PostgreSQL
- NoSQL Databases: MongoDB, Elasticsearch
- Database Design and Management
- Core Concepts:
- Linear Regression, Logistic Regression
- Support Vector Machines (SVM), k-Nearest Neighbors (kNN)
- Decision Trees, Ensemble Methods
- Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)
- Generative Adversarial Networks (GANs)
- Frameworks: PyTorch, TensorFlow, Keras, scikit-learn (sklearn)
- Applications: High-Performance Machine Learning, Natural Language Processing (NLP), Computer Vision
- Large Language Models (LLMs): Fine-tuning and deployment
- Big Data Tools: PySpark, BigQuery
- Cloud Platforms:
- AWS: Lambda, SageMaker, OpenSearch, API Gateway, CloudFormation, S3
- Google Cloud Platform (GCP): BigQuery, VM Management (Compute Engine)
- Programming Languages: Python, C/C++, Java, JavaScript, Go/Golang
- Data Structures and Algorithms: Design and Optimization
- Backend Development: Flask, Django
- Web Application Development:
- CI/CD pipelines with AWS CodePipeline
- Frontend integration with scalable backend services
- Containerization and Orchestration: Docker, Kubernetes, MiniKube, Elastic Kubernetes Service (EKS)
- Infrastructure as Code (IaC): Terraform, AWS CloudFormation
- Workflow Management: Git, JUnit, Slurm
📫 I’m actively looking for the 2025 Full Time positions in SWE/DS/DE
,and welcome to reach out to me through email or LinkedIn:
Email: [email protected]
LinkedIn: Yonathan Daniel
Portfolio site: here