In my part-time role as a Senior Backend Developer, I lead the backend team and oversee infrastructure operations, acting as a DevOps engineer. My responsibilities include designing and implementing scalable backend systems, optimizing performance, and ensuring seamless deployment and integration processes, while promoting best practices in coding, testing, and infrastructure management.

Currently, I am leading a development team for a new product focused on computer vision solutions for data collection in retail industries. This position allows me to apply my previous experiences and collaborate with the team to create innovations that meet industry needs.

In my second position as a researcher in computer vision, I had the opportunity and encouragement to take various courses on the subject, focusing on computer vision and deep learning. During this period, I learned and applied a variety of fundamental techniques while delving into the statistical and algebraic mathematics that underpin these techniques. Some of the skills I developed include image manipulation, image classification using cascade CNN and vector space, object detection and… Show more In my second position as a researcher in computer vision, I had the opportunity and encouragement to take various courses on the subject, focusing on computer vision and deep learning. During this period, I learned and applied a variety of fundamental techniques while delving into the statistical and algebraic mathematics that underpin these techniques. Some of the skills I developed include image manipulation, image classification using cascade CNN and vector space, object detection and segmentation, as well as reconstruction of objects and scenarios through photogrammetry and NeRF. I also worked on constructing procedural simulated environments for synthetic data generation and participated in the creation, training, optimization, and quantization of deep learning models. Show less

I started my journey at the company, initially hired as a developer, but was soon assigned to work as a data engineer. I was responsible for building the entire data pipeline to enable real-time data analysis, using a range of essential tools and technologies for data infrastructure. I worked with AWS, configuring EC2, S3, and Redshift, and managed permissions with IAM along with integrations via VPN. For orchestration and containerization, I used Docker and Swarm, while Airflow was implemented… Show more I started my journey at the company, initially hired as a developer, but was soon assigned to work as a data engineer. I was responsible for building the entire data pipeline to enable real-time data analysis, using a range of essential tools and technologies for data infrastructure. I worked with AWS, configuring EC2, S3, and Redshift, and managed permissions with IAM along with integrations via VPN. For orchestration and containerization, I used Docker and Swarm, while Airflow was implemented for managing and automating data workflows. For databases, I worked with PostgreSQL, MySQL, and Redshift, consolidating a robust and scalable architecture to meet the company’s needs. Show less

As a Systems Analyst, I focused on automating tasks and integrating external and internal systems to build a comprehensive data analysis framework. My work involved creating real-time dashboards that empowered stakeholders to make informed decisions. Utilizing a variety of technologies, including Python, Django, Flask, PostgreSQL, IBM Db2, Google Data Studio, BigQuery, Pandas, Dask, Polars, and SciPy, I developed Robotic Process Automation (RPA) solutions and data pipelines. This initiative… Show more As a Systems Analyst, I focused on automating tasks and integrating external and internal systems to build a comprehensive data analysis framework. My work involved creating real-time dashboards that empowered stakeholders to make informed decisions. Utilizing a variety of technologies, including Python, Django, Flask, PostgreSQL, IBM Db2, Google Data Studio, BigQuery, Pandas, Dask, Polars, and SciPy, I developed Robotic Process Automation (RPA) solutions and data pipelines. This initiative significantly reduced costs and optimized processes, showcasing the impact of effective automation and data management strategies. Show less