Leofer S.

Key Skills

Software

Label Studio

Top Subject Matter

Financial intent classification and conversational assistant training data

Top Data Types

Text

Top Task Types

Fine-tuning

Classification

Freelancer Overview

AI Developer & Financial Data Analyst (Labeling conversational datasets for LLM fine-tuning). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio. AI-training focus includes data types such as Text and labeling workflows including Fine-tuning and Classification.

Labeling Experience

AI Developer and Financial Data Analyst - Independent

Label StudioTextClassification

Designed and implemented machine learning models for financial transaction classification and market data pattern detection. Built conversational data processing workflows to produce structured JSON assets for downstream model training. Integrated financial service APIs for secure, reliable real-time data retrieval and optimized data access. • Applied machine learning and data processing techniques for financial use cases • Developed structured JSON pipelines suitable for LLM workflows • Implemented API integrations and ensured data consistency and security • Validated and optimized SQL queries across relational databases.

2020 - Present

AI Developer & Financial Data Analyst (Labeling conversational datasets for LLM fine-tuning)

Label StudioTextFine-tuning

Performed conversational dataset labeling and preparation for supervised fine-tuning workflows. Produced structured JSON/JSONL training files and validated API and SQL logic used by function-calling assistants. Evaluated assistant responses for tone, completeness, and professionalism using consistent quality rubrics. • Labeled over 1,000 financial samples by intent categories (e.g., spending insight, budgeting, card support) • Classified transactions using MCC-based categories and validated backend function routes (e.g., get_user_summary, get_transactions) • Built automated annotation pipelines outputting structured JSON for LLM training • Applied labeling consistency metrics and quality controls for the final dataset

2020 - Present

Education

Work History