Max Fidler

Key Skills

Software

AWS SageMaker

Google Cloud Vertex AI

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Task Types

Computer Programming Coding

Data Collection

Question Answering

Text Generation

Freelancer Overview

I am a multidisciplinary software developer and machine learning engineer with over five years of experience in full-stack development, data analysis, and AI model implementation. My background includes designing and deploying NLP models, real-time fintech systems, and scalable backend services using FastAPI, Node.js, and cloud-native infrastructure on AWS. In AI training and data labeling, I specialize in developing structured data annotation pipelines, evaluating LLM performance across multilingual datasets, and curating high-quality labeled data for supervised learning. My work bridges software engineering and machine intelligence, allowing me to deliver precise, context-aware datasets that improve model accuracy and robustness. I bring a combination of analytical precision, technical versatility, and cross-functional collaboration to every project.

Labeling Experience

Multilingual Text and Fintech Transaction Labeling for AI Model Training

Aws SagemakerTextEntity Ner ClassificationRelationship

Participated in large-scale data labeling and model evaluation for multilingual text and financial transaction data. Labeled and validated entities, intents, and relationships across thousands of samples to train natural language understanding models for real-time categorization of financial transactions. Designed and reviewed synthetic text prompts and responses for fine-tuning large language models (LLMs). Ensured data quality through multi-tier validation and compliance with project accuracy thresholds (>98%).

Participated in large-scale data labeling and model evaluation for multilingual text and financial transaction data. Labeled and validated entities, intents, and relationships across thousands of samples to train natural language understanding models for real-time categorization of financial transactions. Designed and reviewed synthetic text prompts and responses for fine-tuning large language models (LLMs). Ensured data quality through multi-tier validation and compliance with project accuracy thresholds (>98%).

2023 - 2025

Education

Work History