Programming Skills

Programing Languages

As a versatile programmer, I possess a diverse set of skills that allows me to tackle a wide range of challenges. My proficiency in Java, Python, C, Swift, Assembly, Shell programming and Ocaml is a testament to my ability to work with a variety of languages, both low-level and high-level. With Java, I have the ability to create robust, scalable, and high-performance enterprise applications. My exaustive knowledge of the Python programming language allows me to efficiently develop code that is easy to read, maintain, and test. Moreover, I am familiar with the numpy library, and understand its importance in data manipulation and mathematical computation in Python. I used this powerful and widely-used library for scientific computing, machine learning and data analysis projects. I also have experience with other libraries such as SciPy, Pandas and scikit-learn. The C programming language allows me to write efficient and high-performance code that can run on various platforms. Studying Assembly allowed me to work with the hardware-level instructions of the microprocessor, while Shell programming gave me the ability to automate various tasks. My knowledge of OCaml and Swift, a functional programming language demonstrates my willingness to explore new technologies and stay current. With some experience in Javascript, HTML, and CSS I have the ability to design and build interactive and dynamic web pages. My broad skillset in these programming languages and libraries makes me a valuable asset to any team and opens up a wide range of opportunities in different industries.

Machine Learning

As someone with knowledge in machine learning, I have a strong foundation in a variety of techniques and algorithms. My understanding of neural networks, including sequential, MLP and convolutional, demonstrates your proficiency in one of the most powerful approaches to machine learning. My knowledge of K-Nearest Neighbors, Decision Trees, Logistic Regression, multi class regression and Support Vector Machines (SVMs) showcase my ability to work with a variety of supervised learning algorithms. My knowledge of regression, including linear and logistic regression, and ensemble learning, such as random forests and gradient boosting, demonstrate my ability to work with different methods of predictive modeling. Furthermore, the knowledge of ensemble learning technique shows my understanding on how to improve the performance of a single model by combining the predictions from multiple models. Overall, my knowledge in these various techniques and algorithms positions me well to tackle a wide range of machine learning problems and make valuable contributions in a field that is becoming increasingly important.

Designer Skills

Through my years of practcing alone and learning using the internet, I have become proficient in a variety of industry-standard software. Adobe Photoshop, After Effects, Premiere Pro, Final Cut, and Lightroom are all tools that I have mastered and used with ease. My proficiency in these programs allows me to create stunning visual works that stand out for their technical quality and creative vision.