Freelancer

Key Skills

Software

Scale AI

Clickworker

Data Annotation Tech

Top Subject Matter

Software Engineering – Programming & Code Review

Artificial Intelligence – LLM Evaluation & Prompt Engineering

Information Technology – Web & Backend Development

Top Data Types

Text

Image

Video

Top Task Types

Evaluation/Rating

Prompt + Response Writing (SFT)

RLHF

Freelancer Overview

I am a Software Engineer and Full-Stack Developer with 5+ years of experience building, testing, and optimizing production-grade software systems across web, backend, and AI-enabled applications. My expertise includes Java, Spring Boot, REST APIs, SQL, React, Angular, Python, and modern software engineering practices. Throughout my career, I have designed scalable backend services, implemented secure authentication and authorization systems, optimized database performance, built CI/CD pipelines, and developed enterprise applications supporting large-scale business operations. I have also worked extensively with technical documentation, API design, code reviews, testing methodologies, debugging, and system architecture. In addition to software development, I have experience working with AI-powered applications, prompt engineering, agentic workflows, and technical evaluation of software solutions. My background includes analyzing complex engineering problems, creating reference implementations, defining verification criteria, and assessing code quality against functional requirements. I am comfortable evaluating AI-generated outputs, identifying defects, validating correctness, and developing real-world software engineering tasks used to benchmark AI systems. My combination of software engineering expertise, analytical thinking, and AI-focused experience enables me to contribute effectively to AI training, data annotation, model evaluation, and quality assurance initiatives.

Labeling Experience

AI Evaluation & Prompt Engineering Project

TextEvaluation/Rating

Evaluated AI-generated responses for accuracy, completeness, relevance, and adherence to instructions across software engineering and technical domains. Reviewed code outputs, identified logical and functional issues, validated solutions against requirements, and provided structured feedback to improve model performance. Worked with prompt engineering techniques, response ranking, quality assessment, technical reasoning, and verification workflows. Applied expertise in Java, Spring Boot, SQL, APIs, and full-stack development to assess AI-generated code and technical content. Maintained high attention to detail while following evaluation guidelines and ensuring consistency in review standards.

2025 - Present

Education

Work History