Uday G.

Key Skills

Software

Appen

Don't disclose

Clickworker

Top Subject Matter

AI output evaluation and quality assurance for annotated data workflows

LLM agent workflows and AI process automation

Dataset evaluation and quality control for AI outputs

Top Data Types

Text

Audio

Computer Code Programming

Top Task Types

Function Calling

Evaluation/Rating

Computer Programming/Coding

Freelancer Overview

AI Data Specialist — Appen (Sep 2025 – May 2026). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Don't disclose. Education includes Bachelor of Science, Presidency University Bangalore (2025) and Pre-University, MES Kishora Kendra (2021). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Function Calling.

Labeling Experience

AI Data Specialist — Appen (quality benchmarking)

AppenText

Performed AI output evaluation activities, emphasizing relevance, accuracy, and user intent alignment. Ensured consistency across evaluation/annotation-related workflows under defined quality benchmarks. Supported data quality requirements needed for reliable AI model or dataset performance. • Verified output relevance to task intent • Evaluated correctness/accuracy against criteria • Ensured consistency across projects • Followed strict quality benchmarks

2025 - 2025

AI Engineer Intern — ShadowFox (Jan 2025 – Feb 2025)

Don't discloseFunction Calling

Built and deployed custom AI agents and LLM workflows using prompt engineering and API integration. Implemented structured AI processing steps intended to support design-to-delivery pipeline behavior. Contributed to automation of business processes through LLM-driven workflows. • Designed prompt-driven agent behaviors • Integrated AI tools into pipeline workflows • Automated business processes with API calls • Deployed and iterated LLM workflow components

2025 - 2025

AI Data Specialist — Appen (Sep 2025 – Dec 2025)

AppenText

Evaluated AI-generated outputs for relevance, visual accuracy, and alignment with user intent across multiple projects. Applied strict quality benchmarks to ensure consistent annotation/evaluation outcomes. Focused on verifying whether outputs met predefined criteria for downstream use. • Assessed relevance and intent alignment • Checked visual accuracy against expectations • Ensured adherence to quality benchmarks • Maintained data quality and consistency standards

2025 - 2025

Education

Work History