Nicolas Vidal Email & Phone Number

Bogotá, Distrito Capital, Colombia

- Implement prompt engineering to evaluate the performance of generative LLM models across dimensions of understanding.- Leverage RLHF (Reinforcement Learning from Human Feedback) to improve the model's accuracy and human readability.- Assess thorough QA unit testing to evaluate the model's ReAct (Chain of thought + Action with tool usage) for each solution.- Supervise AI-generated problem-solving in coding languages like Python and Java by adhering to best practices such as OOP.- Ensure correct parameters and tool (class method) selection between the model and APIsResults:https://scale.com/leaderboard/tool_use

Cali, Valle Del Cauca, Colombia

• Implemented a comprehensive CMS interface and database structure for patient registration, patient profiling, procedure history registration, and respective procedure financial transaction logs.• Developed robust data processing pipelines for ETL operations to ensure data accuracy and completeness.• Executed customer segmentation based on clustering algorithms, aimed at extraction of insights for personalized treatment recommendations and targeted marketing campaigns.• Conducted statistical analysis on data trends and identified seasonal patterns, facilitating the strategic development of campaigns with temporal targeting, resulting in a 10% increase in sales.• Utilized natural language processing techniques to extract and structure customer information from internal unstructured data sources, integrating it into the existing CMS for utilization

Bogotá, Distrito Capital, Colombia

Responsibilities • Train, provide support, and fine-tune a specialized AI agent for extracting purchase order information using AI Builder in Power Automate.• Developed and maintained Power Automate flows for efficient data extraction, processing, and modeling.• Employed Python for web scraping, data cleaning, mining, and processing.• Designed and managed SQL databases for optimized data storage and retrieval.• Created RESTful APIs using Flask and deployed them via Docker and Kubernetes.• Proficiently cleaned and processed data using SQL.• Designed VBA macros and interfaces to streamline data collection and processing.• Leveraged Power BI for data processing, KPI calculation, and dashboard design to support managerial decisionmaking.

Cali, Valle Del Cauca, Colombia

Responsibilities• Design a mixed integer linear programming model and metaheuristic for the scheduling of university courses.• Evaluate and adapt algorithms for the development of applied course timetabling metaheuristics.• Collect and manage data in SQL databases.• Follow up and review current work methods for the scheduling and logistics of semester classes.Achievements• Implemented a semestral scheduling system that finds optimum-neighbor solutions.• Applied iterative local search and graph coloring algorithms for class scheduling.• Achieved a 99.3% improvement corresponding to the semester planning time: the previous method took 4800 minutes; with the new semi-annual planning system it went to 30 minutes.

Engineer'S Degree, Industrial Engineering

Énfasis en Ingeniería de sistemas y logística

Bachillerato Academico Bilingüe, Grado Con Honores