Optimization of Chatbot & AI Agent Systems
Summary
Focused on enhancing the accuracy and user engagement of multilingual AI agent models through advanced intent detection and A/B testing, drawing from experience at Chattigo SpA.
Highly accomplished IT and higher education professional with over a decade of experience in business process analysis, systems implementation, and data-driven decision-making, uniquely blending academic leadership with advanced technical expertise. Possessing a Ph.D. and a strong background in AI, Machine Learning, and cloud technologies, I excel at translating complex institutional needs into innovative technical solutions that enhance operational effectiveness and academic quality. Proven ability to drive strategic initiatives, improve program outcomes, and develop scalable AI/ML systems that deliver measurable impact.
Adjunct Faculty – Business
Hialeah, FL, US
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Summary
Led undergraduate courses in Information Technology, Management Information Systems, and Data Mining, fostering student understanding of core business technology concepts.
Highlights
Delivered comprehensive undergraduate courses including Introduction to Information Technology, Management Information Systems, and Data Mining Methodology.
Supported students in mastering foundational and advanced concepts in business technology and systems, enhancing their practical application skills.
Capstone Instructor - M.Sc. Business Intelligence & Data Science
Quito, Pichincha, Ecuador
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Summary
Guided graduate students through M.Sc. capstone projects, focusing on data preparation, modeling, and dashboard development using advanced methodologies.
Highlights
Mentored M.Sc. graduate students in the 'Proyecto MDB' capstone module, guiding comprehensive data preparation, modeling, and dashboard development using Python, SQL, and Tableau.
Instructed student teams on applying CRISP-DM methodology and machine learning evaluation best practices for robust project execution and analysis.
Software Engineer - AI & Conversational Systems
Remote, Remote, Chile
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Summary
Engineered and maintained multilingual AI agent models and scalable ETL pipelines, significantly improving chatbot accuracy and data querying efficiency.
Highlights
Developed and maintained multilingual AI agent models with advanced intent detection, significantly improving chatbot accuracy and user engagement.
Built scalable ETL pipelines and Retrieval-Augmented Generation (RAG) workflows, enabling efficient querying over 100,000+ unstructured documents.
Managed large datasets using SQL and integrated ML workflows into containerized microservices with Docker and GitHub Actions, reducing deployment cycles.
Collaborated with product and customer experience teams to define key performance indicators (KPIs) and optimize model performance through rigorous A/B testing.
Director of Internal Assessment & Accreditation
Quito, Pichincha, Ecuador
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Summary
Led comprehensive institutional assessment and accreditation processes, managing data and collaborating with units to develop academic quality frameworks.
Highlights
Directed the design and implementation of comprehensive institutional assessment and accreditation processes, ensuring alignment with national and international standards.
Managed data collection, analysis, and reporting to inform strategic planning and data-driven decision-making processes.
Collaborated with faculty and administrative units to develop and implement academic quality frameworks and continuous improvement plans.
Rectorate's Advisor
Ibarra, Imbabura, Ecuador
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Summary
Advised the Rectorate on academic policies and strategic initiatives, leading cross-departmental projects that enhanced operational efficiency by 15%.
Highlights
Advised the Rectorate on academic policies and strategic initiatives, contributing significantly to institutional growth and academic excellence.
Led cross-departmental projects that enhanced operational efficiency by 15% across the university, optimizing resource utilization and workflows.
Supervised the successful presentation and defense of numerous undergraduate degree projects, ensuring adherence to academic standards.
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PhD
Computer Science
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BEng
Industrial Engineering
SQL (MySQL, PostgreSQL, NoSQL, MongoDB, Cassandra, BigQuery), Data Collection, Data Management, Statistical Analysis, ETL, Orchestration (Airflow), Pandas, NumPy, Business Intelligence, Data Visualization (Tableau, Power BI, Matplotlib, Seaborn), Programming (Python - 15+ yrs, SQL, Bash, R, Node.js).
LLMs & Generative AI (Prompt engineering, RAG, AI Agents, Vector Databases - FAISS, Pinecone, Fine-tuning, Evaluation), NLP & ML Techniques (Transformer architectures, Classification, Clustering, Recommendation, Reinforcement Learning), Frameworks & Libraries (PyTorch, TensorFlow, HuggingFace, LangChain, CrewAI).
Cloud Platforms (GCP - Vertex AI, BigQuery, Dialogflow), AWS (S3, Lambda), Containerization (Docker, Kubernetes), CI/CD (GitHub Actions).
Business Process Analysis & Modeling, Program Evaluation & Continuous Improvement, Institutional Accreditation & Compliance, Strategic Planning & Academic Policy Development, Stakeholder Communication & Faculty Collaboration, Learning Analytics, Educational Data Science.
Summary
Focused on enhancing the accuracy and user engagement of multilingual AI agent models through advanced intent detection and A/B testing, drawing from experience at Chattigo SpA.
Summary
Designed and implemented scalable ETL pipelines and Retrieval-Augmented Generation (RAG) workflows for efficient querying over extensive unstructured document repositories, based on work at Chattigo SpA.
Summary
Developed a comprehensive dashboard to support institutional assessment, accreditation processes, and continuous academic quality improvement, derived from university leadership experience.
Summary
Designed and implemented a robust framework for program evaluation and continuous improvement, leveraging data analysis and strategic planning principles from academic leadership roles.
Summary
Ph.D. research project focused on developing an adaptive recommender system for reading sequences, utilizing advanced machine learning and natural language processing techniques.