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Priyanshu Y.

I am an AI Trainer with hands-on experience evaluating, improving, and fine-tuning large language models through DataAnnotation. My work involves assessing AI-generated responses for correctness, reasoning, coding quality, and adherence to user instructions, while providing detailed feedback to improve model performance.

N/A, India

Key Skills

Software

Other

Data Annotation Tech

Top Subject Matter

AI-powered media analytics and report generation (LLM/Multimodal workflows)

Enterprise LLM workflows: semantic search + FAQ generation + NL-to-query assistance

Top Data Types

Text

Video

Document

Top Task Types

Question Answering

Text Generation

RLHF

Fine-tuning

Data Collection

Prompt + Response Writing (SFT)

Freelancer Overview

I have worked with dataAnnotation for the past 3 months and have a very strong profile there, where I train AI agents to failure by regressive prompting until they provide a response that does not align with the problem statement.

Labeling Experience

R&D Engineer – VoIP & AI (LLM pipeline integration for enterprise QA and ticket analytics)

Other

Text

Text Generation

Developed LLM-based tools that ingest organizational text data and generate structured outputs using modern language models. Implemented semantic retrieval over knowledge bases to support question answering and automated FAQ creation at business scale. Built a natural-language-to-query assistant that converts user questions into JQL for surfacing engineering progress and metrics. • Built a Customer FAQ Generator using Claude Sonnet to ingest Jira tickets, perform semantic search over Confluence, and auto-generate structured FAQs. • Created an NLP dashboard that converts natural language queries into JQL and displays live per-engineer ticket progress and sprint metrics. • Integrated secure and production-grade systems work to support deployment of AI features in a router firmware environment. • Delivered organization-wide adoption across all business units serving 500+ employees.

2025 - Present

Software Developer Intern – YouTube Brand Compass (AI insights, chatbot, and generated reports)

Text

Question Answering

Created an AI-assisted content intelligence web application that uses large language models and multimodal analysis to generate insights for creators. Integrated retrieval and generation workflows to transform analyzed video/channel inputs into structured outputs and downloadable reports. Implemented end-to-end data processing and API-driven generation enabling AI recommendation and chatbot interactions. • Built “Brand Compass” using Gemini and GPT-4 via AWS Chalice and React. • Implemented REST APIs for ingestion, analysis workflows, report generation, and chatbot interactions. • Engineered scalable media processing using yt-dlp, YouTube Data API v3, AWS S3, and GCP Cloud Storage. • Produced downloadable PDF reports with AI-driven recommendations and actionable analytics.

2024 - 2024

Education

National Institute of Technology Karnataka Surathkal

Master of Computer Applications, Computer Applications

Master of Computer Applications

2022 - 2025

Dyal Singh College, University of Delhi

Bachelor of Science (Honours), Computer Science

Bachelor of Science (Honours)

2019 - 2022

Work History

DataAnnotation Tech

AI Trainer

Jaunpur

2026 - Present

Airoha Technologies

R&D Engineer (VoIP and AI)

N/A

2025 - Present