Ivan APEDO

Contributing to the development and training of advanced AI models for real-world applications.
Helping cutting-edge generative AI models write better code. My works include AI-generated code evaluation, coding problems solving & optimization, prompts optimization for Large Language Models (LLMs).

Deal with complex DSA/algorithmic problems & SWE projects which are used to deliver quality data for LLM Training at Datacurve AI. Code debugging and refactoring based on user criteria and reviewer feedback.

Working on cross-platform mobile applications for Android and iOS using Flutter, enhancing user experience and functionality, collaborated with cross-functional teams to align project goals, led the integration of third-party APIs, improving the app’s feature

Engineered secure public APIs, adopting microservices architecture that improved scalability, optimized SQL queries, reducing database query and enhancing overall application performance, redefined and rearchitected legacy features, streamlined backend processes, reducing server load times and cutting costs

VIC project - Development of a solution aimed at supporting banks in processing their customers' credit requests

Working on building a platform for a rapid delivery of judicial documents for first instance courts