Cristopher Rivera
AI Engineer & Developer
AI Engineer specialized in building and maintaining AI agents that automate workflows and generate business impact. Experienced with n8n and automation platforms, with a focus on efficiency and systems integration.
Work Experience
AI Engineer
Remotto.ia
- Developed AI and automation solutions using n8n, enabling the creation of efficient systems for lead management and marketing automation.
- Implemented a lead scraping system with automatic scoring, improving lead quality by 30% through a systems and APIs approach.
- Contributed to the development of a candidate search and scoring system, optimizing the hiring process through data integration and clear documentation.
- Created an automatic personalized copy generator for marketing strategies, increasing campaign response rates by 25%.
Side Projects
Mechanix - AI-Powered Workshop Management
Led the development of a startup for automotive repair shops that uses AI to optimize operations management, achieving successful deployments in 5 shops.
Challenge
Local automotive repair shops struggled with manual, error-prone processes for managing operations, customer records, service history, and billing.
Solution
Built a full-stack platform leveraging AI to streamline shop operations, automating workflows for scheduling, invoicing, inventory, and customer management.
Impact
- Successfully deployed in 5 automotive repair shops.
- Reduced operational overhead and billing errors significantly across all deployments.
- Enabled shop owners to focus on service quality instead of administrative tasks.
Calpic.ia - AI Calorie Counter
Developed an intelligent calorie-counting application using React and OpenAI, improving the user experience through process automation.
Challenge
People struggle to consistently track their nutrition due to complex apps and manual data entry, making it hard to meet dietary and health goals.
Solution
Created an intelligent application powered by OpenAI that automates calorie and macronutrient tracking through natural language and image recognition, making nutrition logging effortless.
Impact
- Improved user experience through end-to-end process automation.
- Drastically reduced the time needed to log meals compared to traditional apps.
- Helped users build consistent dietary habits with a frictionless tracking experience.