Firman P.

Key Skills

Software

Don't disclose

Top Subject Matter

Multilingual AI output evaluation (Indonesian/Sundanese/English) and technical communication clarity

LLM-assisted technical communication evaluation and quality review (Indonesian/Sundanese/English)

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

Object Detection

Transcription

Freelancer Overview

NOC Manager. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Telkom University (2010). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

NOC Manager using LLMs for technical reporting and evaluating output quality (2020–Present)

Don't discloseText

Led an operational environment requiring precise technical reporting and stakeholder-ready recommendations, aligning closely with evaluating clarity, accuracy, and helpfulness in AI-generated responses. Continuously used LLMs (ChatGPT, Gemini, Claude) for technical and communication work, applying strong instincts to check nuance, cultural/linguistic correctness, and overall output quality. Coordinated cross-functional delivery and incident communication, reinforcing requirements for consistent standards and guideline-following. • Evaluated and communicated technical nuance for non-technical stakeholders • Ensured accuracy and clarity of reports and recommendations • Applied QA-like scrutiny to LLM-assisted technical communication • Managed timelines/resources/stakeholder updates with quality expectations

2020 - Present

Network Administrator supporting multilingual technical reporting and evaluation using LLM-assisted writing (2016–2020)

Don't discloseText

Performed quality evaluation and refinement of communication and technical outputs by translating and interpreting technical issues for varied audiences across Indonesian, Sundanese, and English. Used LLMs daily to support technical writing, problem-solving, and clear explanatory responses while applying judgment for nuance, accuracy, and tone. Leveraged linguistics and translation background to ensure outputs were culturally and linguistically appropriate for intended readers. • Reviewed and improved clarity and helpfulness of technical explanations • Assessed nuance and tone in multilingual communication • Applied structured QA instincts under time-sensitive operational contexts • Translated and localized technical network/system information for stakeholders

2016 - 2020

Education

Work History