Mauro Librera

• Coordinated customer support, software implementations, and special technical projects for aviation maintenance and engineering software. • Worked directly with international airline clients during software onboarding, implementation, and operational use. • Provided L1 and L2 technical support, ensuring timely and effective resolution of client issues. • Participated in Agile ceremonies, including daily meetings, weekly meetings, and project status reviews, and regularly reported project progress to management. • Collaborated with development teams to report, track, reproduce, and validate software defects using Jira-based workflows. • Participated in software demonstrations and product showcases for potential international clients. • Data & Analytics: Designed and developed Power BI dashboards to analyze annual aircraft fleet maintenance costs, considering aircraft utilization, scheduled maintenance, and unscheduled/non-routine maintenance events. • Extracted data from SQL databases using Python and performed data cleaning, normalization, transformation, and structuring for analysis. • Built visual reports to support client decision-making and cost forecasting, and designed DevExpress dashboards with SQL-based visualizations. • Machine Learning & AI: Developed a machine learning model to predict aircraft utilization for the following year using historical utilization and external operational factors. • Developed a prototype machine learning tool to classify non-routine aircraft maintenance tasks according to ATA codes, using ATA definitions and previously classified maintenance tasks. • Contributed to data initialization and maintenance-task loading for two aircraft during implementation of a maintenance management system for an airline in Cabo Verde. • Regulatory & Stakeholder Interaction: Worked with ANAC personnel on inspection-system implementations and compliance requirements, and assisted in quality-related activities and audits aligned with ISO standards. • Training & Communication: Delivered internal training sessions in English and Spanish and acted as a knowledge reference point for functional and technical aspects of the system.

Seabury Solutions

• Executed engineering projects related to instrumentation and equipment obsolescence in a nuclear power plant. • Identified replacement solutions for obsolete components while considering technical and regulatory constraints. • Coordinated with specialized suppliers and multiple internal departments to define viable engineering solutions. • Surveyed installed instrumentation to assess obsolescence status and updated plant-wide equipment condition and obsolescence statistics. • Contributed to long-term reliability and asset management initiatives in a safety-critical environment.

Nucleoeléctrica Argentina S.A. – Embalse Nuclear Power Plant

• Taught programming and game development concepts to young students. • Designed educational activities combining programming logic, creativity, and teamwork. • Facilitated collaborative learning environments and helped students develop practical programming and game development projects.

CoderDojo C´ordoba

• Planned and documented aircraft repair and maintenance processes in compliance with aviation standards. • Produced CAD drawings and technical documentation to support engineering and maintenance teams. • Assisted in translating engineering requirements into executable maintenance plans. • Supported technical-office activities related to aircraft maintenance and repair.

Aviocentro

• Contributed to AI/ML training projects involving the annotation and analysis of video data. • Analyzed video content to identify relevant actions, events, objects, and contextual information. • Created and answered questions based on video content to generate structured training data for machine learning models. • Applied detailed annotation guidelines consistently across video datasets. • Focused on producing accurate, clear, and contextually relevant annotations for model training and evaluation.

E2F

• Contributed to AI training and evaluation projects for international technology clients, including Tesla and Meta. • Generated Python code and solutions from natural-language prompts according to project-specific requirements and evaluation criteria. • Analyzed coding tasks and translated natural-language instructions into functional Python implementations. • Evaluated generated outputs for correctness, relevance, and compliance with task requirements. • Applied structured annotation and evaluation guidelines to support the development and improvement of AI coding models.

Outlier