Nshan Yegyan

Key Skills

Software

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Top Task Types

Classification

Text Summarization

RLHF

Computer Programming/Coding

Function Calling

Freelancer Overview

I am an experienced AI and ML Technical Product Manager with over 7 years of hands-on work building and scaling data-intensive, AI-enabled products, including platforms for data labeling, annotation, and human-in-the-loop (HITL) workflows. My background includes leading the development of an Agentic AI Platform at SuperAnnotate AI, where I partnered closely with engineering and research teams to design robust data annotation tools and orchestrate AI model evaluation and deployment. I have a deep understanding of AI model integration, evaluation loops, and quality control in production environments, as well as expertise in experimentation, metrics, and automation to improve labeling efficiency and data quality. I am skilled in collaborating across cross-functional teams, translating complex technical requirements into clear, user-focused solutions, and have worked extensively with LLMs, agent-based systems, and modern data infrastructure. My approach combines technical know-how with a strong focus on measurable outcomes and continuous improvement for AI training data pipelines.

Labeling Experience

HINTL PM

SuperannotateComputer Code ProgrammingClassificationText Summarization

Led AI enablement and training for internal teams and enterprise customers for RLHF. Delivered workshops on LLMs, AI agents, MLOps, evaluation frameworks, and AI product best practices. Trusted advisor on enterprise AI adoption, risk management, and scaling AI systems.

Led AI enablement and training for internal teams and enterprise customers for RLHF. Delivered workshops on LLMs, AI agents, MLOps, evaluation frameworks, and AI product best practices. Trusted advisor on enterprise AI adoption, risk management, and scaling AI systems.

2025

Education

Work History