Friday A.

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

AI customer support for Web3 crowdfunding

AI-adjacent platform engineering (authentication, rate limiting) for marketing workflows

Technical logic validation and step-by-step reasoning verification

Top Data Types

Text

Document

Computer Code Programming

Top Task Types

Prompt + Response Writing (SFT)

RLHF

Red Teaming

Text Generation

Text Summarization

Classification

Question Answering

Evaluation/Rating

Freelancer Overview

Founder & Product Engineer – PennyFundMe (Testnet MVP). Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Bayero University Kano (2010). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Prompt + Response Writing (SFT) and Function Calling.

Labeling Experience

Founder & Product Engineer – GoViralPromo (MVP Live)

OtherFunction Calling

Built a viral marketing platform with blockchain authentication and gasless transactions, which required implementing AI-adjacent system components such as rate limiting and authentication logic. While the resume does not explicitly state data labeling, the project scope included engineering components that would support AI-assisted features. Delivered end-to-end architecture and deployment using modern web technologies. • Shipped full-stack architecture including security and rate limiting • Integrated blockchain authentication and gasless transaction flows • Implemented contest/referral/leaderboard mechanics for platform behavior • Deployed production components via Vercel

2025 - Present

Founder & Product Engineer – PennyFundMe (Testnet MVP)

OtherPrompt + Response Writing (SFT)

Developed an AI-powered customer support system using WebSockets as part of a decentralized crowdfunding MVP, implying creation of AI interaction flows and training/response logic. Integrated real-time support behavior that required preparing conversational prompts and responses. Built the system to operate within a production application environment for end users. • Implemented real-time AI support functionality via WebSockets • Designed AI agent/customer-support interaction patterns for live use • Supported deployment and iteration as part of the testnet MVP • Worked within a Web3 product context using Next.js and TypeScript

2023 - 2025

Education

Work History