For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
Munawar Ahmed

Munawar Ahmed

Database Architect / AI Trainer | Turing

PAKISTAN flag
Lahore, Pakistan
$30.00/hrIntermediateDon T Disclose

Key Skills

Software

Don't disclose

Top Subject Matter

Database architecture
Cloud infrastructure
Data governance

Top Data Types

TextText
DocumentDocument

Top Task Types

Prompt Response Writing SFT
Classification
RLHF
Fine Tuning
Evaluation Rating

Freelancer Overview

Database Architect / AI Trainer | Turing. Brings 13+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, FAST National University of Computer and Emerging Sciences (NUCES) (2017) and Bachelor of Business Information Technology, University of the Punjab (2014). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT).

IntermediateUrduEnglish

Labeling Experience

Head of Data / Senior Data Architect and DBA | YAP

TextPrompt Response Writing SFT
Designed and authored internal technical documentation that directly supported supervised fine-tuning (SFT) dataset creation for AI training workflows. Applied advanced prompt engineering and quality review methods using LLM platforms and AI-assisted development tools. Facilitated experimentation, prompt iteration, and AI code review for architecture and regulatory documentation tasks. • Created structured technical content for integration into SFT datasets. • Regularly used AI tools (Claude, GPT-4, Copilot, Cursor) to iterate on document and code prompts. • Evaluated AI outputs in documentation and code review for accuracy and alignment. • Supported SFT and RLHF infrastructure design linking production data infrastructure with AI pipelines.

Designed and authored internal technical documentation that directly supported supervised fine-tuning (SFT) dataset creation for AI training workflows. Applied advanced prompt engineering and quality review methods using LLM platforms and AI-assisted development tools. Facilitated experimentation, prompt iteration, and AI code review for architecture and regulatory documentation tasks. • Created structured technical content for integration into SFT datasets. • Regularly used AI tools (Claude, GPT-4, Copilot, Cursor) to iterate on document and code prompts. • Evaluated AI outputs in documentation and code review for accuracy and alignment. • Supported SFT and RLHF infrastructure design linking production data infrastructure with AI pipelines.

2022 - Present

Database Architect / AI Trainer | Turing

TextPrompt Response Writing SFT
Contributed to the supervised fine-tuning (SFT) of Google Gemini models by generating domain-specific technical prompts, iterations, and ratings. Evaluated AI-generated outputs for factual accuracy, logical coherence, and alignment with expert reasoning in the reinforcement learning from human feedback (RLHF) cycle. Regularly developed multi-turn prompt-response pairs, addressed model failure modes, and maintained high quality standards across all completed task types. • Generated technical SFT prompts in database architecture, SQL engineering, cloud infrastructure, and policy compliance domains. • Assessed outputs using rating rubrics for logical, factual, and human alignment criteria. • Iterated on prompts and responses across comparative, summarization, Q&A, and technical synthesis formats. • Identified and benchmarked model hallucinations and logical inconsistencies for Gemini RLHF feedback.

Contributed to the supervised fine-tuning (SFT) of Google Gemini models by generating domain-specific technical prompts, iterations, and ratings. Evaluated AI-generated outputs for factual accuracy, logical coherence, and alignment with expert reasoning in the reinforcement learning from human feedback (RLHF) cycle. Regularly developed multi-turn prompt-response pairs, addressed model failure modes, and maintained high quality standards across all completed task types. • Generated technical SFT prompts in database architecture, SQL engineering, cloud infrastructure, and policy compliance domains. • Assessed outputs using rating rubrics for logical, factual, and human alignment criteria. • Iterated on prompts and responses across comparative, summarization, Q&A, and technical synthesis formats. • Identified and benchmarked model hallucinations and logical inconsistencies for Gemini RLHF feedback.

2025 - 2025

Education

F

FAST National University of Computer and Emerging Sciences (NUCES)

Master of Science, Computer Science

Master of Science
2014 - 2017
U

University of the Punjab

Bachelor of Business Information Technology, Information Technology

Bachelor of Business Information Technology
2010 - 2014

Work History

Y

Yap

Head of Data / Senior Data Architect and DBA

Dubai
2022 - Present
A

Afiniti

Lead Database Engineer

Islamabad
2019 - 2022