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H
Hamid S.

Hamid S.

Led early-stage work on Papyri Muzik: defined emotion-based algorithm and tagging schema; contributed to model training

Nigeria flagLagos, Nigeria

Key Skills

Software

Don't disclose

Top Subject Matter

AI fruit
Agile methodology Project Management
Responsible AI in education

Top Data Types

AudioAudio
TextText
ImageImage

Top Task Types

Emotion RecognitionEmotion Recognition
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Led early-stage work on Papyri Muzik: defined emotion-based algorithm and tagging schema; contributed to model training . Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Arts, University of Ibadan (2020). AI-training focus includes data types such as Audio and Text and labeling workflows including Emotion Recognition and Prompt + Response Writing (SFT).

Labeling Experience

Product Manager for Edu Papyri at PapyrAI: defined PRD, AI-enabled learning flows, and AI behavior requirements informed by user research.

TextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Translated educational AI capabilities into accessible product experiences by defining requirements that drive how training data and model behaviors should align with user needs. Authored PRD content covering data privacy, student classroom user flows, and edge cases to guide safe AI deployment in education. Conducted extensive user research to validate product direction before development investment, informing what AI responses should support learners. • Role is product-facing but includes AI capability translation into system behaviors and requirements. • Labeling-style contribution inferred from defining training/behavior-alignment specs (no explicit dataset labeling stated). • No specific labeling platform or annotation software was mentioned. • Education/EdTech domain focus with responsible AI governance considerations.

2025 - Present

Led early-stage work on Papyri Muzik: defined emotion-based algorithm and tagging schema; contributed to model training planning.

AudioAudioEmotion RecognitionEmotion Recognition

Defined an emotion-based algorithm for AI music generation and proposed a tagging schema to support downstream model training and retrieval. Contributed to model training planning by translating product requirements into usable AI data specifications for the system. Focused on mapping expressive musical attributes to consistent labels for effective supervised learning. • Experience is described as early-stage AI model training planning within a product workflow. • Inferred labeling work involves creating and structuring tags/labels for training data. • No specific annotation tool was mentioned in the resume. • Domain context is AI-driven music generation for education/product experimentation.

2025 - 2025

Education

U

University of Ibadan

Bachelor of Arts, Classics

Bachelor of Arts
2016 - 2020

Work History

P

PapyrAI Technology

Product Manager

Cardiff
2025 - Present
A

AFROCRITIK Media

Research Assistant

Lagos
2024 - Present