Developing full-stack AI features and agentic workflows for a RegTech platform focused on regulatory compliance (KYC, document verification) using Angular and Python.

• Enhance system security through testing, validation, and hardening practices to improve platform robustness and compliance.
• Work on an AI module for document intelligence, including automatic data extraction and form pre-filling for compliance workflows.

Built an AI orchestration backend integrating APIs, Tavily and AWS Bedrock. Designed a first data pipeline for FEC Carbon analysis (S3, Lambda, AI processing). Contributed to ESG-focused data solutions for real-world use cases.

• Delivered a final pitch to stakeholders with strong positive feedback.
• Collaborated in a team of 7 engineers in an industry-driven project.

Architected and developed a cross-platform mobile marketplace for university materials, making 80+ contributions to the core codebase.

• Mentored students in software architecture, debugging, and UI/UX best practices for mobile environments.
• Integrated advanced features including Augmented Reality (AR) for product visualization and AI-driven search indexing.
• Designed and implemented a data pipeline (PostgreSQL → BigQuery → Looker Studio) to track user behavior and business metrics.

Founded and developed an AI-powered fashion recommendation platform utilizing CLIP (Contrastive Language-Image Pre-training) and vector databases for visual search.

• Scaled the project internationally, securing a spot in the entrepreneurship center of the Rhône-Alpes region (France) for further incubation.
• Successfully piloted the MVP during Innovation Week at Universidad de los Andes, onboarding 6 fashion brands as initial partners.
• Built the full-stack infrastructure using Next.js, Node.js, and Medusa.js, focusing on scalable architecture and user-centric design.
• Iterated product features based on rapid user testing and hypothesis validation in both the Colombian and French markets.