Joshua Dela Cruz

Key Skills

Software

Mercor

Top Subject Matter

Enterprise business data

including customer

Operational Domain Expertise

Top Data Types

Computer Code Programming

Text

Document

Top Task Types

Computer Programming/Coding

Text Summarization

Classification

Freelancer Overview

AI and Data Classification Engineer (AI Automation Engineer at Microsoft). Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Text and labeling workflows including Classification.

Labeling Experience

Python Vibe Coding Specialist

MercorComputer Code ProgrammingComputer Programming Coding

Review and refine AI-generated prompts, responses, and code Validate algorithms and software concepts for technical accuracy Provide structured feedback on solution quality and clarity Tag and organize content by topic, difficulty, or language Support benchmarking efforts to assess model capabilities

Review and refine AI-generated prompts, responses, and code Validate algorithms and software concepts for technical accuracy Provide structured feedback on solution quality and clarity Tag and organize content by topic, difficulty, or language Support benchmarking efforts to assess model capabilities

2025

LLM Document Summarization & Metadata Extraction Engineer

TextText SummarizationClassification

Developed and deployed LLM-powered internal tools to automate document analysis, summarization, classification, and metadata extraction. Worked with structured and unstructured financial documents, leveraging OpenAI APIs and in-house AI models for information extraction and summarization tasks. Implemented Retrieval-Augmented Generation (RAG) pipelines for efficient document querying and summarization in research workflows. • Designed scalable solutions for summarizing large volumes of internal financial documents. • Automated extraction of key metadata fields using LLMs and embeddings. • Enhanced document repository searchability through embedding-based retrieval techniques. • Improved analyst productivity by reducing manual effort in document review and summarization.

Developed and deployed LLM-powered internal tools to automate document analysis, summarization, classification, and metadata extraction. Worked with structured and unstructured financial documents, leveraging OpenAI APIs and in-house AI models for information extraction and summarization tasks. Implemented Retrieval-Augmented Generation (RAG) pipelines for efficient document querying and summarization in research workflows. • Designed scalable solutions for summarizing large volumes of internal financial documents. • Automated extraction of key metadata fields using LLMs and embeddings. • Enhanced document repository searchability through embedding-based retrieval techniques. • Improved analyst productivity by reducing manual effort in document review and summarization.

2022 - 2024

Education

Work History