Aananth K.

Key Skills

Software

Don't disclose

Top Subject Matter

Technology and software development domain

business analysis and technical documentation

Business analysis

Top Data Types

Text

Video

Top Task Types

RLHF

Freelancer Overview

Technical Business Analyst supporting AI content evaluation via specification-accuracy and gap-detection work. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Technology, PRIST University. AI-training focus includes data types such as Text and Video and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

Business Analyst performing hands-on evaluation of AI-generated video outputs

Don't discloseVideo

Prompted and evaluated AI video generation outputs for adherence to instructions and overall visual quality. Assessed prompt adherence, motion quality, scene consistency, and visual coherence to determine whether outputs met desired requirements. Fed back quality issues using clear documentation standards consistent with technical evaluation. • Checked text-to-video outputs for instruction adherence • Evaluated motion dynamics and continuity across scenes • Assessed scene coherence and visual accuracy • Used systematic quality assessment for feedback writing

2022 - 2026

Business Analyst using LLM/video/code AI tools for structured evaluation and feedback generation

Don't discloseTextRLHF

Used multiple LLM and multimodal AI tools daily to analyze, write, reason, document, and troubleshoot, building practical understanding of model behavior and failure modes. Conducted evaluation of AI outputs across business and technical domains, emphasizing accuracy, clarity, and quality through comparative assessment and hallucination detection practices. Provided structured feedback aligned with RLHF-style improvement goals through prompt engineering and output-quality evaluation. • Verified AI-generated code, queries, and analytical explanations using SQL/BI workflows • Ranked and assessed responses for accuracy, completeness, and logical structure • Authored high-quality technical documentation across 17+ industry domains for evaluation readiness • Detected errors, gaps, and inconsistencies to improve output reliability

2022 - 2026

Technical Business Analyst supporting AI content evaluation via specification-accuracy and gap-detection work

Don't discloseText

Performed AI-output evaluation and quality checks by applying analytical and critical thinking to detect requirement gaps, data inconsistencies, and errors in AI-generated content. Focused on accuracy, completeness, and logical rigor aligned with hallucination detection and reasoning-flaw identification. Used technical writing standards to assess whether outputs met functional specification expectations. • Evaluated technology-domain responses for correctness and consistency • Checked for missing requirements and integration/data issues • Identified gaps and inaccuracies for feedback improvement • Applied critical thinking patterns transferable to model evaluation

2021 - 2022

Education

Work History