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Schedule Interview NowBeing part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.
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This sandbox code was intended to customize Postgres images for ephemeral testing in Golang. One of the examples include a basic model related to IoT using Timescale as a persistence layer.
The objective of this study was to determine the best pooling architecture for an orchestrated Kubernetes environment. At that time, the most popular solutions for Postgres pooling were PgBouncer (single-threaded service) and Odyssey (multi-worker process). The architecture was tested in a provisioned and deployed in an AWS environment, isolating any potential noises from running in a local environment. Also, it was intended to provide Terraform examples of how to deploy these services straightforwardly. The results, conclusions and code, can be found at the link of the project.
For a customer's project we needed to implement encryption at the data level for certain columns. So, we decided to conduct a benchmark for studying the CPU consumption of the available crypto algorithms in Postgres.
in Developer Analyst
2002-01-01-2004-01-01