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Mario Solís

Mario Solís

AI and Software Engineer (Freelancer) - Data Labeling & AI Workflow Creation

Argentina flagBariloche, Argentina
$25.00/hrIntermediateLabel StudioImg LabLabelbox

Key Skills

Software

Label StudioLabel Studio
Img Lab
LabelboxLabelbox
LabelImgLabelImg

Top Subject Matter

Compliance/Automotive Damage Detection
Natural Language Processing/Data Preparation
Legal Services & Contract Review

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding Box
Text Generation
Segmentation
Polygon

Freelancer Overview

AI and Software Engineer (Freelancer) - Data Labeling & AI Workflow Creation. Brings 12+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Google Cloud Vision API, Internal, and Proprietary Tooling. Education includes Doctor of Philosophy, Instituto Balseiro (2024) and Master of Science, Instituto Balseiro (2016). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Text Generation.

IntermediateEnglishSpanish

Labeling Experience

AI and Software Engineer (Freelancer) - Data Labeling & AI Workflow Creation

ImageBounding Box
I developed an AI workflow using the n8n framework and Google Cloud Vision API for the Buffalo website, which automates compliance through website scraping and data extraction. I also built several pipelines and AI agents designed for information extraction and OCR tasks, integrating image detection and labeling steps for various use cases. Additionally, for DeRentas S.A., I implemented a pipeline to detect car damages using Vision AI with bounding boxes for an automated future app workflow. • Designed and deployed image analysis workflows involving object localization and detection • Performed bounding box annotation on car images to identify damages • Automated image ingestion and labeling through API integrations • Utilized Google Cloud Vision API and proprietary pipelines for labeling tasks

I developed an AI workflow using the n8n framework and Google Cloud Vision API for the Buffalo website, which automates compliance through website scraping and data extraction. I also built several pipelines and AI agents designed for information extraction and OCR tasks, integrating image detection and labeling steps for various use cases. Additionally, for DeRentas S.A., I implemented a pipeline to detect car damages using Vision AI with bounding boxes for an automated future app workflow. • Designed and deployed image analysis workflows involving object localization and detection • Performed bounding box annotation on car images to identify damages • Automated image ingestion and labeling through API integrations • Utilized Google Cloud Vision API and proprietary pipelines for labeling tasks

2025 - Present

Data Scientist and AI Trainee - Text Dataset Annotation & AI Training

TextText Generation
As a Data Scientist and AI Trainee, I participated in the development of AI agents that required large-scale data analysis and preparation for machine learning using AutoGen and Retrieval-Augmented Generation (RAG) techniques. My responsibilities included cleaning and annotating datasets to train AI models, particularly for natural language and knowledge extraction tasks. I also contributed to the exploratory data analysis and labeling of text data for supervised learning workflows. • Annotated and prepared textual datasets for AI training • Implemented data cleaning procedures for machine learning readiness • Applied RAG for information extraction and text generation • Used AutoGen and Python libraries for data preprocessing and annotation

As a Data Scientist and AI Trainee, I participated in the development of AI agents that required large-scale data analysis and preparation for machine learning using AutoGen and Retrieval-Augmented Generation (RAG) techniques. My responsibilities included cleaning and annotating datasets to train AI models, particularly for natural language and knowledge extraction tasks. I also contributed to the exploratory data analysis and labeling of text data for supervised learning workflows. • Annotated and prepared textual datasets for AI training • Implemented data cleaning procedures for machine learning readiness • Applied RAG for information extraction and text generation • Used AutoGen and Python libraries for data preprocessing and annotation

2023 - 2024

Education

I

Instituto Balseiro

Doctor of Philosophy, Physics

Doctor of Philosophy
2018 - 2024
I

Instituto Balseiro

Master of Science, Physics

Master of Science
2015 - 2016

Work History

U

Upwork

Freelance AI and Software Engineer

Buenos Aires
2025 - Present
Q

Quantit

AI Engineer

Buenos Aires
2024 - 2024