Technology Leader | AI Innovator | Educator
Senior Software Architect and Engineering Manager specializing in Generative AI and AI-powered Applications, with extensive experience leading global multidisciplinary teams across Argentina, India, Philippines, and the United States.
As a GenAI Lead, I drive innovation through practical applications of Large Language Models, building teams and fostering AI adoption within organizations. My expertise spans from architectural design to hands-on implementation of cutting-edge AI solutions.
Beyond industry leadership, I serve as a Professor of Applied Artificial Intelligence at Universidad Nacional de La Matanza, where I developed and teach a comprehensive curriculum that bridges traditional computer science with modern generative AI technologies.
Leading teams and driving innovation in AI and software engineering
Leading multidisciplinary teams across Argentina, India, Philippines, and the United States, driving GenAI adoption and innovation within the .NET tribe. Built and scaled a specialized squad focused on Generative AI implementation and best practices.
Key Responsibilities & Achievements:
Head of Applied AI curriculum for 5th-year Computer Engineering students. Developed complete course materials from scratch, covering modern AI technologies including LLMs, prompt engineering, and practical applications.
Curriculum Highlights:
Specialized in developing AI-powered applications leveraging Large Language Models and multimodal generative AI. Expert in designing hybrid LLM architectures, prompt engineering strategies, and cost-optimized AI pipelines for production systems.
Technical Achievements:
Personal innovative solutions democratizing technology and AI
Free interactive real-time word cloud generator for presentations and educational purposes. Participants use their devices to submit words via a unique code, which appear instantly on the presenter's screen with size proportional to frequency.
Architecture: Client-Side Only (Serverless) optimized for Firebase Spark Plan. All business logic runs in React frontend with direct Firestore connection using WebSocket subscriptions (onSnapshot) for millisecond-level real-time synchronization. No Cloud Functions required, achieving zero operational costs.
Educational Impact: Democratizes audience engagement tools historically locked behind expensive freemium models (Mentimeter charges $15-30/month). No participant registration required, ensuring privacy and instant access. Makes professional presentation technology accessible to all educators and speakers.
Visit Website →Mobile-first instant e-commerce platform enabling ultra-fast digital catalog creation for informal sellers and entrepreneurs. Features revolutionary "Photo and Done" AI workflow eliminating manual text entry friction on mobile devices.
Architecture: Serverless hybrid AI architecture deployed on Netlify Functions. Image uploads trigger multimodal AI pipeline: Azure Computer Vision performs semantic analysis extracting visual tags and physical characteristics, then GPT-4o mini (Azure OpenAI) acts as virtual copywriter generating persuasive titles and descriptions automatically. Cloudflare R2 (S3-compatible) provides high-performance, low-cost image storage.
Educational Impact: Demonstrates practical multimodal AI integration (vision + language) solving real UX friction. Showcases cost-optimized serverless AI architecture and democratizes e-commerce for vendors without technical skills or resources. Free platform removes barriers for informal economy participants.
Visit Website →AI-powered video summarization platform built on SeasonRecapV2 (proprietary core technology) that creates narrative recaps of TV series using subtitle analysis, LLM-driven scene selection, and intelligent narrative generation. Helps viewers refresh their memory before new season releases.
Architecture: Modular design with interchangeable LLM providers, asynchronous job queues for heavy video processing, and detailed logging. SeasonRecapV2 core handles script analysis, key moment selection, and narrative calibration.
Educational Impact: Demonstrates practical LLM applications in creative content, teaching concepts like prompt engineering, tokenization, reasoning levels, and cost/token optimization.
Visit Website →Comprehensive expertise across AI, software development, and cloud technologies
Academic foundation in engineering and data science
Advanced specialization covering Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Natural Language Processing, KNIME, and Python. Focused on practical applications of AI technologies in real-world scenarios.
Comprehensive engineering education with balanced theoretical and practical components. Strong foundation in software engineering principles, computer science fundamentals, and mathematical formalisms. Emphasis on problem-solving, design capabilities, and understanding the global software industry context.
Core Competencies: Engineering principles, design methodologies, software management best practices, computer science theory, mathematical foundations, and professional software development in a globalized market.
Professional credentials and validated expertise
CEFR C2 certification demonstrating mastery in listening comprehension, reading comprehension, grammar, and vocabulary at native speaker level.
Completed: September 2024
Certified Scrum Master demonstrating fundamental understanding of Scrum framework, including concepts of applying Scrum and consistent use of terminology.
Certified: February 2025