I am an experienced AI Technical Leader with over 10 years of expertise in software engineering and artificial intelligence. My passion lies in creating impactful, scalable AI solutions that address real-world challenges and deliver measurable value. Currently, I lead technical initiatives at CreAI, leveraging cutting-edge technologies to transform industries and drive innovation.
Previously, I was the Co-Founder and CTO of Innvox, an AI-driven sales and customer success coaching platform, where I shaped the company’s technological strategy and led its product development. My journey includes pivotal roles in companies across North and South America, where I honed my technical, leadership, and problem-solving skills.
- Programming Languages: Python, JavaScript, TypeScript, Node.js, HTML, CSS
- AI Specializations: LLMOps, NLP, Computer Vision, Speech Processing (STT, TTS, STS)
- Machine Learning & Deep Learning Frameworks: TensorFlow, PyTorch, Scikit-Learn, XGBoost
- Frameworks & Tools: Flask, Django, React, AngularJS, Node.js, Express
- Data Management: SQL, NoSQL, Pandas, NumPy, MongoDB
- Cloud Platforms: AWS, Azure, GCP
- DevOps & Infrastructure: Docker, Terraform, CI/CD Pipelines
- Automation & Workflow Optimization: UiPath, Microsoft Power Automate
- Project Management: Agile/SCRUM, JIRA, Confluence
- Quality Assurance & Testing: QA Automation, Test Management, Functional and Non-Functional Testing
- Frontend Development: Responsive Design, UX Principles
- Backend Development: RESTful APIs, Microservices Architecture
- Collaboration & Communication Tools: JIRA, Confluence, Git
- Spearheaded the development of AI models and platforms, including LLM-powered solutions and computer vision applications.
- Co-founded and led Innvox, an AI-driven platform for sales and customer success coaching.
- Designed and deployed cloud-native AI systems with high scalability and resilience.
- Led cross-functional teams in agile environments to achieve timely delivery of AI-driven projects.
- Automated complex workflows, improving efficiency and reducing manual errors across diverse industries.
- Developed and optimized machine learning pipelines for data preprocessing, model evaluation, and deployment.
- Built scalable backend systems using Node.js and integrated them with modern frontend frameworks.