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Tanveer Hussain

Tanveer Hussain

AI Prompt Engineer: Production-Scale Prompt Design and A/B Classification Labeling

Pakistan flagIslamabad, Pakistan
$25.00/hrIntermediateOpencv AI Kit Oak

Key Skills

Software

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)

Top Subject Matter

Production prompt engineering for AI workflows and LLM-based agents
Multilingual audio transcription and translation automation
Education market lead classification and scoring

Top Data Types

TextText
ImageImage

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification

Freelancer Overview

AI Prompt Engineer: Production-Scale Prompt Design and A/B Classification Labeling. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Clay.com. Education includes Bachelor of Science, Institute of Space Technology, Islamabad (2023) and Intermediate, Superior College (2019). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Translation, and Localization.

IntermediateEnglish

Labeling Experience

Data Labeling and Classification Engineer—Education Market Segmentation

TextClassification
Designed classification prompts to automate the categorization and scoring of education market leads with prompt-based labeling at scale. Built consistent structured outputs using Clay.com’s data automation platform to effectively segment and qualify leads. Ensured continuous improvement by integrating feedback-driven prompt tuning cycles. • Engineered and deployed classification prompts for lead segmentation. • Automated label generation and scoring of educational market datasets. • Maintained high-quality, structured JSON outputs for downstream systems. • Tuned prompts to adapt to evolving client criteria and market definitions.

Designed classification prompts to automate the categorization and scoring of education market leads with prompt-based labeling at scale. Built consistent structured outputs using Clay.com’s data automation platform to effectively segment and qualify leads. Ensured continuous improvement by integrating feedback-driven prompt tuning cycles. • Engineered and deployed classification prompts for lead segmentation. • Automated label generation and scoring of educational market datasets. • Maintained high-quality, structured JSON outputs for downstream systems. • Tuned prompts to adapt to evolving client criteria and market definitions.

2025 - Present

AI Prompt Engineer: Production-Scale Prompt Design and A/B Classification Labeling

TextPrompt Response Writing SFT
Engineered and deployed production AI system prompts for LLMs, with structured output schemas and multi-variation A/B testing. Designed and maintained robust classification prompts on platforms such as Clay.com and n8n workflows, ensuring high-quality and consistent model outputs. Developed and iteratively improved prompt instructions for use with GPT-4, Claude, and DeepSeek for diverse client automation needs. • Created and managed system prompts for production AI agents. • Led A/B prompt variation testing for prompt performance optimization. • Constructed and maintained classification and scoring prompts on Clay.com and within n8n AI workflows. • Developed structured output formats (JSON, classification) for automated data labeling pipelines.

Engineered and deployed production AI system prompts for LLMs, with structured output schemas and multi-variation A/B testing. Designed and maintained robust classification prompts on platforms such as Clay.com and n8n workflows, ensuring high-quality and consistent model outputs. Developed and iteratively improved prompt instructions for use with GPT-4, Claude, and DeepSeek for diverse client automation needs. • Created and managed system prompts for production AI agents. • Led A/B prompt variation testing for prompt performance optimization. • Constructed and maintained classification and scoring prompts on Clay.com and within n8n AI workflows. • Developed structured output formats (JSON, classification) for automated data labeling pipelines.

2025 - Present

Subtitle Transcription and Translation Labeling for Multilingual Meetings

Text
Developed and maintained a real-time Zoom subtitle translation pipeline using Whisper for audio parsing and ChatGPT for live translation. Managed end-to-end text labeling, segmentation, and quality control for accurate Chinese ↔ Japanese transcription and localization. Implemented automated pipeline quality checks to ensure precise, production-ready subtitles. • Built and operated subtitle transcription and translation system for multilingual meetings. • Integrated audio-to-text and live translation modules for high accuracy. • Collected and labeled dataset for automated subtitle evaluation. • Conducted continuous QA and correction of labeled data during operation.

Developed and maintained a real-time Zoom subtitle translation pipeline using Whisper for audio parsing and ChatGPT for live translation. Managed end-to-end text labeling, segmentation, and quality control for accurate Chinese ↔ Japanese transcription and localization. Implemented automated pipeline quality checks to ensure precise, production-ready subtitles. • Built and operated subtitle transcription and translation system for multilingual meetings. • Integrated audio-to-text and live translation modules for high accuracy. • Collected and labeled dataset for automated subtitle evaluation. • Conducted continuous QA and correction of labeled data during operation.

2023 - 2025

Education

I

Institute of Space Technology, Islamabad

Bachelor of Science, Electrical, Electronics and Communications Engineering

Bachelor of Science
2019 - 2023
S

Superior College

Intermediate, Pre-Engineering

Intermediate
2017 - 2019

Work History

U

Upwork

Freelance Automation Engineer & AI Developer

Islamabad
2025 - Present
U

Upwork

Freelancer — Electrical Engineering & Python

Islamabad
2023 - 2025