Turning Complex Challenges into Scalable Systems

Head of TMS

- Architected and led the development of the Trainer Management System (TMS), a scalable AI-training operations platform deployed across ~7 production instances, consolidating trainer performance, working-time tracking, team-lead reviews, KPIs, and operational workflows.

- Increased trainer performance reporting and review coverage by 90% by replacing fragmented operational processes with centralized performance tracking in TMS; enabled performance reports for approximately 40% of client teams.

- Increased QA review activity by 50% by introducing team-lead performance tracking, giving Delivery Managers visibility into team-lead execution and enabling more consistent quality-control workflows.

- Increased the number of KPIs tracked by Project Managers by 80% by migrating KPI management from Google Sheets to TMS, while improving KPI data reliability by 90% through centralized data collection, standardized workflows, and system-based tracking.

- Enabled 100% working-time review coverage for team leads across campaigns by centralizing trainer working-time data in TMS, replacing fragmented/manual visibility with a unified operational view.

- Integrated TMS with internal tools, analytics, and automation systems, creating a centralized platform for AI-training operations and reducing dependency on disconnected operational workflows.

- Led the platform from architecture and MVP through production deployment and organizational adoption, balancing scalability, performance, maintainability, and rapidly changing business requirements.

AI Human Data Quality Control

- Increased QC review output by 50%+ and performance-report reliability by 90% by developing the beta version of TMS as a management system for my QC operations.
- Scaled TMS from an internal QC management tool into a core Turing operations platform, contributing to its adoption across AI-training workflow

AI Human Data Trainer

- Ranked among the top 3 AI Trainers on the team, delivering 500+ AI-training tasks in under 3 months for foundational-model training and evaluation.

Software Developer

- Expanded tax-region support by 20% by implementing new collection, billing, and tax-payment capabilities across the company’s core platform, supporting 10K+ active users.

- Enabled reliable billing operations for 2K+ daily users by implementing core platform upgrades and improving transaction-processing capabilities.

- Maintained and enhanced core user-management workflows, delivering new platform features and upgrading internal core-libraries.

RPA and Software Developer

- Automated 1K+ daily billing tickets and 100+ daily tax reports through RPA bots, reducing manual processing and improving operational efficiency across client workflows.
- Led the five-month development of CAP Datalicencias, digitizing architectural project submission, review, administrative processing, and management workflows for 7K+ architects, engineers, and property owners across Lima.
- Enabled the processing and management of 1K+ architectural projects monthly by transforming fragmented internal processes into a centralized digital platform.

Research Trainee

- Developed an internal patent and publication management system for the university’s research department, streamlining research asset tracking and administrative workflows.
- Contributed to 7 granted microelectronics patents by supporting research, software development, and technical documentation.
- Co-authored 2 research publications, developing software for THz image spectroscopy and bifactor modeling in psychometrics and psychology.