Tunmise A.

Key Skills

Software

Toloka

Telus

Surge AI

OneForma

Mindrift

Data Annotation Tech

Top Subject Matter

Fintech Domain Expertise

P2P lending

fraud detection

Top Data Types

Text

Document

Image

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Freelancer Overview

AI Product Manager | Lendriva (P2P Lending Fintech). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Postgraduate Diploma, Brunel University London (2022) and Bachelor of Science, Olabisi Onabanjo University (2015). AI-training focus includes data types such as Text and labeling workflows including RLHF and Prompt + Response Writing (SFT).

Labeling Experience

AI Product Manager | Lendriva (P2P Lending Fintech)

TextRLHF

Led AI-assisted product initiatives on credit scoring, fraud detection, and underwriting automation using LLM/AI-driven workflows within a regulated fintech context. Defined and monitored KPIs and funnels for data-backed feature prioritisation, supporting model quality and decision performance improvements. Coordinated with engineering, UX, compliance, legal, and growth teams to deliver compliant AI-enabled releases while aligning user journeys with KYC/AML requirements.• Designed borrower/lender journeys impacting AI data inputs and outcomes across onboarding, KYC/AML, and risk profiling.• Planned and tracked OKRs and loan performance metrics using Mixpanel and Amplitude to evaluate AI feature effectiveness.• Directed API-first integrations (payments, identity verification, credit bureaus) to ensure relevant data availability for AI decisions.• Managed backlogs and release cycles in Jira using Agile/Shape Up to iterate on AI-assisted capabilities.

2025 - Present

Product Manager | PaidHR (HR & Payroll SaaS)

TextPrompt + Response Writing (SFT)

Drove AI-powered feature prototyping for HR/payroll SaaS, automating payslip generation, tax calculations, and payroll anomaly detection using Copilot, LLMs, and RPA tooling. Supported creation of data governance and privacy standards to ensure enterprise readiness for AI-enabled payroll workflows. Developed product analytics dashboards to monitor integration health, churn signals, and NPS improvements that inform AI automation iterations.• Built webhook and REST API frameworks enabling secure data flows required for AI-assisted payroll processing.• Used AI/LLM-driven automation to reduce operational workload across payroll workflows and anomaly detection.• Enforced NDPR/GDPR-aligned data governance for AI-enabled HR/payroll data handling.• Prioritised backlog using RICE and MoSCoW frameworks and ran sprint ceremonies supporting iterative AI feature delivery.

2024 - 2025

Education

Work History