IT consulting, custom software, and data science expertise — built around your goals.
Explore Our Services Get in TouchFrom strategy to implementation, we partner with you at every stage of your technology journey.
Strategic guidance to select the right technologies and optimize your IT infrastructure for sustainable, long-term growth.
Custom-built web apps, APIs, and enterprise systems tailored precisely to your business needs and workflows.
Design, optimization, and management of relational and NoSQL databases — fast, scalable, and secure.
Advanced analytics, machine learning, and predictive modeling that transform raw data into clear, actionable insights.
We're not a body shop — we're a focused team that treats your problems as our own.
We start with your goals, not the technology. Every technical decision is grounded in measurable business value.
Academic research in neural networks, recommender systems, and self-tuning databases — combined with two decades of production software experience.
Few teams combine deep data science with strong software engineering. We do both, so your insights actually make it to production.
From discovery to deployment and beyond — we own the full lifecycle and don't hand off work to another team mid-project.
No surprises. You always know what's happening, why, and what comes next.
We learn your goals, constraints, data landscape, and existing systems before writing a single line of code.
You receive a clear scope, timeline, and fixed or capped budget — no vague estimates or surprise invoices.
Iterative delivery with regular demos and check-ins. You see progress early and can redirect as the project evolves.
We don't disappear at launch. Ongoing maintenance, optimization, and guidance are part of every engagement.
Battle-tested technologies chosen for reliability, not hype.
Queries & Code is led by Rafael Pereira — Ph.D. in Computer Science (PUC-Rio), full-stack developer, and data scientist with 20 years of hands-on experience across software development, database architecture, and machine learning.
Rafael's background spans legacy system modernization, database migration, and applied research in recommender systems using neural networks on large-volume datasets. Whether you're a startup defining your data strategy or an enterprise modernizing legacy systems, you get senior-level thinking and direct, accountable delivery.
Have a project in mind? Tell us about your goals and we'll find the best path forward — together.
Start a Conversation