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G

Gala Torres

AI Knowledge Systems & Data Structuring — SIAP Medical SaaS Platform

Argentina flagescobar, Argentina
$20.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

Medical Domain Expertise
SaaS Knowledge Systems
Conversational AI

Top Data Types

TextText

Top Task Types

Classification
Data Collection
Prompt Response Writing SFT

Freelancer Overview

AI Knowledge Systems & Data Structuring — SIAP Medical SaaS Platform. Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Text and labeling workflows including Classification, Data Collection, and Evaluation.

ExpertEnglishSpanishPortuguese

Labeling Experience

AI & Technical Learning — Independent Training and Applied Work

TextPrompt Response Writing SFT
Worked independently on prompt engineering, LLM evaluation workflows, and dataset structuring for business-focused AI systems. Designed and labeled datasets used for supervised fine-tuning and prompt-based AI training. Supported evaluation and continuous development of business AI assistants. • Focused on instruction and response dataset creation. • Labeled examples for prompt tuning and refinement. • Built evaluation datasets for LLM benchmarking. • Applied SFT principles in real-world business contexts.

Worked independently on prompt engineering, LLM evaluation workflows, and dataset structuring for business-focused AI systems. Designed and labeled datasets used for supervised fine-tuning and prompt-based AI training. Supported evaluation and continuous development of business AI assistants. • Focused on instruction and response dataset creation. • Labeled examples for prompt tuning and refinement. • Built evaluation datasets for LLM benchmarking. • Applied SFT principles in real-world business contexts.

Not specified

AI Response Quality Assurance (QA)

Text
Conducted quality evaluation and auditing of AI-generated responses for factuality, logic, and completeness. Provided corrective feedback and adjustments to training datasets and prompts. Improved dataset quality to enhance model accuracy and hallucination detection. • Assessed AI model outputs for quality assurance. • Applied evaluation workflows for response reliability. • Contributed to continuous improvement initiatives. • Focused on information accuracy and reduction of errors.

Conducted quality evaluation and auditing of AI-generated responses for factuality, logic, and completeness. Provided corrective feedback and adjustments to training datasets and prompts. Improved dataset quality to enhance model accuracy and hallucination detection. • Assessed AI model outputs for quality assurance. • Applied evaluation workflows for response reliability. • Contributed to continuous improvement initiatives. • Focused on information accuracy and reduction of errors.

Not specified

Technical Data Collection & Dataset Preparation

TextData Collection
Processed SaaS interface screenshots, logs, and raw data into labeled training datasets for AI and knowledge assistants. Developed automation scripts to extract structured data suitable for various AI training workflows. Organized extracted technical information into datasets for further annotation and training use. • Automated data transformation using Node.js and PowerShell. • Labeled data for multiple SaaS systems and interfaces. • Focused on raw-to-structured data pipeline design. • Supported downstream annotation and prompt engineering processes.

Processed SaaS interface screenshots, logs, and raw data into labeled training datasets for AI and knowledge assistants. Developed automation scripts to extract structured data suitable for various AI training workflows. Organized extracted technical information into datasets for further annotation and training use. • Automated data transformation using Node.js and PowerShell. • Labeled data for multiple SaaS systems and interfaces. • Focused on raw-to-structured data pipeline design. • Supported downstream annotation and prompt engineering processes.

Not specified

AI Sales Agent Training & Optimization — Aesthetic Clinics / E-commerce

TextClassification
Labeled and audited user conversations to train and optimize AI sales agents for clinics and e-commerce. Created intent classification schemes to enhance customer response automation and increase sales conversions. Developed advanced prompt logic and decision frameworks for agent training datasets. • Focused on intent identification and flow optimization. • Applied QA to improve selling agent accuracy. • Labeled datasets specific to e-commerce and clinic verticals. • Performed dataset corrections for continuous agent improvement.

Labeled and audited user conversations to train and optimize AI sales agents for clinics and e-commerce. Created intent classification schemes to enhance customer response automation and increase sales conversions. Developed advanced prompt logic and decision frameworks for agent training datasets. • Focused on intent identification and flow optimization. • Applied QA to improve selling agent accuracy. • Labeled datasets specific to e-commerce and clinic verticals. • Performed dataset corrections for continuous agent improvement.

Not specified

AI Knowledge Systems & Data Structuring — SIAP Medical SaaS Platform

TextClassification
Designed and structured technical knowledge bases for medical and SaaS workflows to support RAG AI systems. Transformed complex business documentation into structured data for improved AI retrieval accuracy. Built operational datasets to reduce hallucinations in internal AI assistants. • Developed documentation pipelines for knowledge base construction. • Structured over 15 modules covering protocols, workflows, and operations. • Optimized for retrieval-augmented generation (RAG) environments. • Focused on accuracy, completeness, and clarity in labeled data.

Designed and structured technical knowledge bases for medical and SaaS workflows to support RAG AI systems. Transformed complex business documentation into structured data for improved AI retrieval accuracy. Built operational datasets to reduce hallucinations in internal AI assistants. • Developed documentation pipelines for knowledge base construction. • Structured over 15 modules covering protocols, workflows, and operations. • Optimized for retrieval-augmented generation (RAG) environments. • Focused on accuracy, completeness, and clarity in labeled data.

Not specified

Education

U

untref

licenciatur, sociologia

licenciatur
2020 - 2024

Work History

F

freemind

freelancer

miami
2019 - Present