Lisa Adongo

Key Skills

Software

Mercor

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Image

Text

Video

Top Label Types

Audio Recording

Bounding Box

Classification

Computer Programming Coding

Data Collection

Mapping

Text Summarization

Freelancer Overview

I am a data-driven Software Developer with 4+ years of technical experience spanning backend systems, data analytics, and AI training workflows. My background includes hands-on development using Python (Pandas, NumPy), SQL (MySQL), and data visualization tools such as Metabase and Tableau, with strong expertise in data cleaning, structured analysis, and performance reporting. Beyond analytics, I have experience supporting database-backed systems, structured debugging, and reviewing technical outputs for correctness and consistency in AI training environments. My work involves identifying patterns in user and support data, maintaining structured logs, and translating insights into measurable system improvements. I am currently expanding my expertise in Rust systems programming, focusing on ownership, borrowing, error handling, and foundational concurrency concepts. With a strong analytical mindset and attention to detail, I bring both technical depth and quality-driven evaluation skills to AI, backend, and data-focused projects in fast-paced environments.

Labeling Experience

Data Labeler and AI Training Contributor

MercorTextClassification

As a Data Labeler and AI Training Contributor, I analyzed and annotated structured and unstructured text data to support machine learning projects. My tasks involved evaluating content for accuracy and consistency while following detailed annotation guidelines. I consistently maintained high labeling standards through careful quality assurance processes. • Collaborated remotely with teams to refine annotation procedures. • Logged and tracked quality metrics to ensure project consistency. • Evaluated various technical outputs for compliance with guidelines. • Used Python and Excel for analytical labeling tasks.

As a Data Labeler and AI Training Contributor, I analyzed and annotated structured and unstructured text data to support machine learning projects. My tasks involved evaluating content for accuracy and consistency while following detailed annotation guidelines. I consistently maintained high labeling standards through careful quality assurance processes. • Collaborated remotely with teams to refine annotation procedures. • Logged and tracked quality metrics to ensure project consistency. • Evaluated various technical outputs for compliance with guidelines. • Used Python and Excel for analytical labeling tasks.

2025 - 2025

Education

Work History