🚀 Passionate about building scalable systems and leading software development teams.

I'm a Software Engineer, Tech Lead, and Full Stack Developer with over 10 years of experience designing, building, and deploying backend, frontend, and mobile solutions. My stack includes Java, Spring Boot, TypeScript, Node.js, Angular, Flutter, React Native, and a deep focus on cloud-native architectures, testing, and CI/CD.

I’m currently expanding my work into AI, LLMs, and Data Engineering — integrating intelligent systems into microservices and backend architectures using tools like OpenAI, LangChain, and AWS SageMaker.

📌 AWS Certified Cloud Practitioner
🎯 Focused on Software Architecture, Microservices, DevOps, AI/LLM Integrations

I’m always open to collaborating on challenging projects, contributing to open source, or supporting startups and teams in building reliable, scalable tech.

Whether it’s backend architecture, AI/LLM integrations, or developer tooling, feel free to reach out — let’s build something impactful together!

• 💻 Designing and developing scalable backend and cloud architectures using Java, Spring, and AWS.
• 📱 Building cross-platform mobile apps with Flutter and React Native.
• 🤖 Researching and integrating LLMs and AI into software workflows (OpenAI, LangChain, vector databases).
• 🧠 Mentoring developers, leading engineering teams, and contributing to software architecture decisions.
• 🛠️ Contributing to developer productivity via internal tools, DevOps automation, and technical leadership.

• Agendas – Intelligent Scheduling & Patient Engagement Platform for Clinics: Developed a comprehensive scheduling and patient engagement system tailored for healthcare providers, utilizing NestJS and TypeORM. The platform offers intuitive online appointment booking, automated WhatsApp reminders, and integrated payment processing through a transparent gateway. Implemented features such as automatic rescheduling for canceled appointments and a professional locator to connect patients with suitable healthcare providers. These enhancements led to a significant reduction in no-shows and improved operational efficiency, transforming the patient experience and streamlining clinic workflows.

• DevTrack – Scalable Full-Stack Architecture for Agile SaaS Delivery: At DevTrack, a consulting and software engineering firm specializing in scalable systems for real estate, healthcare, FinTech, and logistics sectors, I led the design and implementation of a cloud-native, microservices-based architecture. Utilizing event-driven patterns with Kafka and MQTT, I developed scalable APIs and front-end applications using Angular, React, and Flutter. I also established CI/CD pipelines, structured development environments with Docker and Docker Compose, and mentored cross-functional teams, ensuring efficient agile development and high-quality code through best practices and automation.

• Robovisor - Remote Robot Control Platform with WebRTC & MQTT: Developed a secure, real-time remote robot control system using WebRTC, MQTT, Kurento, Java, NestJS, and Angular. Enabled operators to control robots remotely, monitor system status, and authenticate access through a secure, profile-based flow — allowing safe demos and live maintenance by company stakeholders.

• Housi - Digital Contract Assignment System for Real Estate: Built a custom digital signature platform tailored for real estate companies, streamlining the entire contract lifecycle. Using personalized templates and automation workflows, increased daily contract assignments from a limit of 7 to over 50 per day in the first week of rollout.

• Pronutrition – AI Agent Platform for Formula Development in the Food Industry: Created a system of AI-driven agents to generate and validate food formulas, replacing manual 5–7 day cycles with 1-day end-to-end processing. This significantly accelerated R&D timelines while preserving consistency and compliance standards.

• EAuditoria – AI-Powered Audit Workflow Automation & Compliance Intelligence: EAuditoria's RAG implementation seamlessly integrates OpenAI's language models with document processing, Pinecone vector storage, and real-time Socket.IO communication to transform audit workflows by intelligently analyzing compliance documents, generating technical reports with data visualizations, and reducing audit cycle times by 60%.

• Exploring LLM applications using OpenAI APIs, prompt chaining, and embeddings.
• Building data pipelines and AI-assisted systems.
• Studying for AWS AI/ML Specialty to improve production-grade AI deployment skills.