Kleidson Almeida

Full Stack Software Engineer & AI Engineer with 6 years of experience building scalable, resilient, and highly available applications — from SaaS product architecture to production AI pipelines and local LLM deployments.

Career built across two complementary paths: 4+ years in freelance and independent development (2019–2024), delivering digital products and interfaces for clients and owned projects; and 2+ years in corporate environments (full-time/contract), working in QA, infrastructure, and software engineering. Specialist in the JavaScript and TypeScript ecosystem (Node.js and React.js), with strong expertise in Cloud Computing (Amazon Web Services — AWS), DevOps culture, and Generative AI engineering — including LLM integration, RAG pipelines, prompt engineering, and GPU-optimized local inference via Ollama.

Experience in microservices architecture, Docker containerization, serverless, and infrastructure automation. Bachelor's degree in Information Systems in progress (expected completion: January 2027), with prior technical training in Web Development. Certified in Prompt Engineering & Generative AI (Adapta / Nvidia). Guided by SOLID principles, Clean Code, Clean Architecture, and Test-Driven Development (TDD).

Full Stack Software Engineer | Tech Lead | AI Engineer at Korven Lab (2025-12 – Present)

End-to-end technical leadership on SaaS products — from architecture design to production deployment, monitoring, and Generative AI integration, with a focus on technical delivery and code quality.

• Deployed and benchmarked local LLMs via Ollama (Yi-Coder 9B, CodeGemma), including environment configuration, inference testing, and production-ready deployment pipelines for code-generation and automation workflows.
• Built GPU-accelerated AI inference pipelines optimized for RTX 3060 Ti hardware constraints — tuning batch size, context window, and memory allocation (DDR5) to maximize throughput and minimize latency on local model execution.
• Designed RAG (Retrieval-Augmented Generation) architectures with LangChain and vector embeddings, enabling context-aware responses grounded in product documentation and operational data.
• Applied Prompt Engineering and NLP techniques to automate internal workflows, reducing manual intervention in repetitive development and operations tasks.
• Node.js backend development with Docker, ensuring high availability and horizontal scalability to support user growth without infrastructure rewrites.
• AWS infrastructure management (EC2, S3, Lambda) with FinOps practices, reducing server operational costs by approximately 30% through rightsizing and idle resource automation.
• Translation of business requirements into conversion- and retention-oriented React.js interfaces, aligning product, UX, and performance metrics.

Infrastructure & Support Analyst at INSS — National Social Security Institute (Brazil) (2025-01 – Present)

Support and monitoring of critical computing environments in a federal agency, applying DevOps culture to automate and optimize government processes.

• Development of Python and Shell Script automation for infrastructure routines, reducing critical incident response time by approximately 40%.
• Information security and operational data integrity through backup policies, access controls, and compliance with internal standards.

QA Analyst (Quality Assurance) at Appen (2024-01 – 2024-12)

• Creation, execution, and maintenance of automated end-to-end (E2E) test plans with Selenium and Python, mitigating critical failures before production deployment.
• Zero-regression releases in feature rollouts, collaborating with global development teams in agile continuous delivery cycles.
• Test scenario documentation and defect traceability, improving release predictability in staging environments.

Full Stack Developer | UI/UX Designer at Freelance & Independent (2019-03 – 2023-12)

Development of web applications and digital products for clients and owned projects, using JavaScript/TypeScript (Node.js, React.js) with payment integrations and third-party APIs.

• UI/UX design and visual identity for digital products, with Figma prototyping focused on usability and conversion.
• Built and evolved owned SaaS platforms (Wagoo, 2AVendas, Papufy), applying event-driven architecture, serverless, OWASP security practices, and Generative AI from the MVP phase.
• Full product lifecycle ownership: requirements gathering, data modeling, implementation, cloud deployment, and post-launch monitoring.

Bachelor's in Information Systems – Unifacisa (2026-12)

Technical Course in Web Development – Microcamp

Course in UI/UX – LeWagon / Cursa

Course in Brazilian Data Protection Law Personal – ENAP