👋 Hi, welcome!
I'm Tales Vieira — a Full-Stack / Solutions Engineer focused on building scalable, AI-enabled systems for regulated and data-intensive environments.
I bring a unique background combining software engineering, data science, and compliance-driven problem solving, with hands-on experience designing platforms that require auditability, integrity, and real-world reliability.
Languages
- TypeScript · JavaScript · Python · SQL
Frameworks & Platforms
- React · Next.js · Node.js · Docker · Supabase · Vercel · n8n
Focus Areas
- Full-Stack Development
- AI & Applied Machine Learning
- Automation & Integrations
- Data Integrity & Compliance-Aware Systems
A curated selection of applied engineering projects, including private and institutional systems, where I designed and implemented end-to-end solutions for complex, regulated environments.
⚠️ Note: Some projects are not publicly available due to data sensitivity and compliance constraints.
Computer Vision · NLP · Applied AI
- Automated extraction, classification, and analysis of structured and unstructured documents
- Pipelines combining OCR, computer vision, and NLP models
- Designed for investigative, compliance, and audit-sensitive workflows
Python · Computer Vision · Machine Learning
- Multi-face recognition pipeline with accuracy above 90%
- Scalable processing of large image datasets
- Focus on validation, data integrity, and real-world applicability
Backend · Automation · Data Integrity
- Development of systems and tooling for evidence integrity, audit logs, and traceability
- Automation of forensic and compliance workflows
- Emphasis on reproducibility, chain-of-custody, and secure data handling
React · Node.js · Supabase
- Authentication, role-based access control, dashboards, and reporting
- Designed for environments requiring auditability and controlled access
- Focus on scalability and operational reliability
Data Science · Dashboards · Applied Analytics
- Design of analytical pipelines and dashboards for operational decision-making
- Transformation of raw data into actionable insights
- Applied to public safety and compliance-driven contexts
I actively contribute to the global open-source ecosystem, with a focus on scalability, usability, and community adoption.
Top #2 Trending Repository on GitHub (Global)
🔗 Repository: https://github.com/f/awesome-chatgpt-prompts (ajuste se o repo for outro)
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Authored and integrated a comprehensive Use Cases framework to clarify real-world applications of the project across multiple audiences:
- Developers: code review, debugging, refactoring, documentation
- Content Creators: writing, SEO, multi-language content
- Designers & No-Code Builders: rapid prototyping, UI/UX, components
- Researchers & Analysts: data analysis, literature review, reporting
- Teams & Organizations: onboarding, standardization, knowledge bases
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Designed and implemented a full Contributing Guide, including:
- Step-by-step contribution workflow
- Quality standards and best practices
- Pull Request template to ensure consistency
- Community engagement and collaboration guidelines
Impact
- Significantly improved project onboarding and discoverability
- Lowered contribution barriers for a community of 30k+ users
- Helped bridge the gap between raw AI prompt collections and practical, real-world adoption
Skills Applied
- Technical Leadership
- System & Documentation Architecture
- Open Source Governance
- Community-Driven Development
- LinkedIn: https://www.linkedin.com/in/peritotales
- Email: talesgvieira@gmail.com
- Full-Stack / Backend Engineering roles
- Solutions & Platform Engineering
- AI-enabled systems and automation
- Open-source collaborations
- Remote-first teams (US / EU / Global)
Let’s build reliable systems for complex problems.

