Rahul Patel

Key Skills

Software

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Freelancer Overview

I have over 6 years of experience as a full-stack developer, working extensively with secure, scalable systems and high-quality data management. My background includes designing and implementing RESTful APIs, integrating real-time databases like Firebase, and building data-driven applications for government and commercial clients. I am skilled in Java, Spring Boot, Angular, and cloud platforms such as AWS and GCP, with hands-on experience in test-driven development and automated CI/CD pipelines to ensure data integrity and accuracy. My work at the Canada Revenue Agency and on projects like serverless trivia games and real-time delivery platforms has given me a strong foundation in handling sensitive data, applying RBAC security, and ensuring compliance with privacy standards. I am passionate about delivering reliable, high-quality solutions and am eager to contribute my technical and analytical skills to data labeling and AI training data projects.

Labeling Experience

LLM Prompt Evaluation and Code Quality Annotation

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Worked on evaluating and annotating large language model outputs across technical and coding-related prompts. Responsibilities included reviewing model-generated responses for correctness, factual accuracy, reasoning quality, and adherence to instructions. Performed binary and rubric-based evaluations, classified outputs by error type, and provided structured feedback to improve model reliability. Leveraged strong software engineering background in Java, Kotlin, and full-stack development to assess code-related responses, detect logical flaws, and verify edge-case handling. Ensured consistency with evaluation guidelines, maintained high accuracy standards, and contributed to improving AI performance on real-world programming and system design tasks.

Worked on evaluating and annotating large language model outputs across technical and coding-related prompts. Responsibilities included reviewing model-generated responses for correctness, factual accuracy, reasoning quality, and adherence to instructions. Performed binary and rubric-based evaluations, classified outputs by error type, and provided structured feedback to improve model reliability. Leveraged strong software engineering background in Java, Kotlin, and full-stack development to assess code-related responses, detect logical flaws, and verify edge-case handling. Ensured consistency with evaluation guidelines, maintained high accuracy standards, and contributed to improving AI performance on real-world programming and system design tasks.

2025

Education

Work History