Tony T.

Key Skills

Software

No software listed

Top Subject Matter

Enterprise IT – ITSM Integration & Secure Authentication

Education Technology – Academic Scheduling & AI Routing

Software Engineering – LLM Output Evaluation & QA Automation

Top Data Types

Text

Top Task Types

Computer Programming/Coding

RLHF

Fine-tuning

Red Teaming

Function Calling

Evaluation/Rating

Text Generation

Question Answering

Freelancer Overview

As an Applied AI Engineer, I specialize in the rigorous evaluation, routing, and integration of LLM outputs for enterprise production systems. My core expertise lies in context engineering, model behavior assessment, and output quality control. I have directly engineered automated LLM-driven QA workflows to audit massive, 30,000-line architecture pull requests for security vulnerabilities and state-management edge cases. Furthermore, I actively evaluate model performance using qualitative reviews, latency measurements, and task success rates derived from live production traffic. My technical foundation spans backend infrastructure and low-level performance, including Python, FastAPI, TypeScript, and CUDA C. Because I build retrieval-augmented generation (RAG) pipelines and enforce multi-tenant data isolation, I possess a deep understanding of how models process complex context windows. This combination of hands-on architectural experience and direct model evaluation allows me to generate highly accurate training data, establish strict guardrails, and meticulously assess AI reasoning for complex software engineering tasks.

Education

Work History