Responsibilities & achievements

• Designed and implemented an AI-driven virtual assistant using LLMs, RAG, agents, and Langchain to support coffee growers. • Developed LLM (Large Language Model) and Generative AI applications, leveraging Retrieval-Augmented Generation (RAG) approaches. • Worked with LLM services such as Bedrock, Langchain, and LlamaIndex to build AI solutions. • Provided consulting on Generative AI strategy for companies in the maintenance sector. • Created proof of concepts (POCs) for solutions based on LLM technologies. Tech Stack: Langchain, LLMs, Azure, OpenAI API, Azure Web, FastAPI, Python, Docker, JavaScript, Pinecone, Cognitive Service.

Responsibilities & achievements

• Built a virtual assistant for a U.S.-based tourism company using AI Agents and an RAG approach to enhance customer interactions. • Developed a content generator from PDF documents using RAG and LLM models integrated with AWS services. • Created a chatbot using a RAG approach for interacting with a company's knowledge base, leveraging AWS services like OpenSearch, Lambda, and Bedrock. • Developed Generative AI applications and utilized LLM services such as Bedrock, Langchain, and LlamaIndex. • Led chatbot and virtual assistant development projects for clients in the U.S. and Canada, focusing on AI-driven solutions. Tech Stack: Langchain, LLMs, Bedrock, AWS Vector DB, Lambda, Step Functions, S3, Docker, FastAPI, Python, Azure Cognitive Service, DynamoDB.

Responsibilities & achievements

• Developed and deployed a machine learning model for customer profiling, enhancing business decision-making processes. • Developed AI applications and deployed them using AWS cloud services to address business needs. • Designed and implemented statistical and machine learning models to support various business functions. • Managed the entire model lifecycle (MLops), overseeing data ingestion, model deployment, monitoring, and maintenance. • Led AI projects, tracking progress and managing tasks using Kanban boards. Tech Stack: Machine learning, AWS, Python, Docker, Lambda, ECR, FastAPI, SKlearn, Seaborn, Pandas.

Responsibilities & achievements

• Assisted in teaching the Machine Learning and Evolutionary Computing courses within the Computer Engineering program. • Supported course development and delivery, including lectures, assignments, and student assessments.

Responsibilities & achievements

• Developed a machine learning model to automate and optimize water purification in Medellín, significantly improving efficiency. • Created a reinforcement learning model to optimize energy consumption in water pumping systems. • Developed Machine Learning and Deep Learning models to automate and optimize operational processes. • Coordinated the Data Science team, identifying business needs, leading meetings with stakeholders, and managing project execution. • Designed and conducted tests to validate AI models and algorithms. Tech Stack: Machine learning, Azure, Python, PyTorch, SKlearn, Seaborn, Pandas, Deep Neural Networks.