Victor P.
Back-end and Systems Engineer

Skills

.NET

Sql

Microsoft Sql Server

Victor is available for hire

Meet Victor P.

All Howdy Candidates are vetted for skills and english proficiency.

Bio

A Back-end Developer with over 2.8 years of specialized experience in .Net, SQL Server, Web Service, and API Rest technologies. Holding a degree in Information Technology obtained in 2018, with dedicated study in technology since 2015, the primary focus has been on back-end development within the .Net framework. Comprehensive expertise covers multiple programming domains such as artificial intelligence, WebAPI development, Arduino projects, automation systems, computer vision, and information security.

Backend Developer
3/1/2021 - 10/1/2023

Developed proficiency in .Net and SQL Server, focusing on backend development. Gained extensive experience in designing and implementing Web Services and RESTful APIs. Demonstrated expertise in ensuring reliable and efficient data management and operations through SQL Server. Collaborated on projects requiring in-depth knowledge of web service protocols and integrations, ensuring robust and scalable backend solutions.
Apprentice
9/1/2017 - 9/1/2019

Held a position as a Computational Laboratory Assistant, focusing on data analysis and simulation. Developed proficiency in Python, R, and MATLAB, leveraging these languages to perform statistical analysis and create predictive models. Gained extensive experience with machine learning frameworks such as TensorFlow and Scikit-learn, applying these tools to construct and refine algorithms for complex datasets. Conducted simulations using software like ANSYS and COMSOL, enabling the modeling of various physical phenomena. Enhanced skills in database management with MySQL and MongoDB, ensuring effective data storage and retrieval. Collaboratively maintained and documented code using Git, while also employing Jupyter Notebooks for interactive data visualization and sharing. Successfully utilized cloud computing platforms like AWS and Azure to optimize computational workflows, along with employing Docker for containerization to manage and deploy applications consistently across various environments.