Ogungboye P.

Key Skills

Software

Other

Top Subject Matter

Mathematics & Computational Modeling

Data Science for business problems

AI sales outreach automation

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Function Calling

Freelancer Overview

Data Science & Analytics Applied Research (2019–2022). Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, OpenAI API, and N8n. Education includes Bachelor of Technology, Ladoke Akintola University of Technology. 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 & CEO — Phos Lab

Prompt + Response Writing (SFT)

You founded and led an AI automation agency that builds done-for-you client acquisition systems using LLM-powered components. Your responsibilities included designing outreach agent pipelines, prompt-driven asset generation, and intelligent lead intake and qualification workflows. This work is closely tied to preparing prompt/response behavior and agent interactions that function as training scaffolding for effective AI automation in production. • Architected end-to-end AI lead generation pipelines with Apollo, Instantly, and N8n. • Built AI outreach asset libraries (cold email sequences, DM scripts, follow-ups, call scripts). • Developed AI-powered intake, lead qualification, and response personalization workflows. • Achieved scale outcomes including 500+ qualified leads per month and up to 80% overhead reduction.

2023 - Present

AI Automation Consultant & Engineer — Freelance

Function Calling

You designed and deployed LLM-integrated automation workflows for AI-driven sales outreach. The work involved building prompt-driven agents and pipelines that generate and qualify leads at scale. Although no human annotation was described, the system development included structured AI interaction logic typical of LLM orchestration for agentic workflows. • Implemented OpenAI API integrations within N8n workflows. • Engineered custom prompts for sales agent behavior. • Created AI content generation pipelines and automated lead scoring. • Deployed autonomous outreach/qualification workflows to reduce manual overhead.

2022 - 2023

Data Science & Analytics Applied Research (2019–2022)

OtherPrompt + Response Writing (SFT)

In applied research and analytics work, you built machine learning models and data-driven approaches that support later AI automation systems. You used Python-based modeling (regression, classification, and clustering) and leveraged data transformations to solve business-oriented problems. While the resume does not explicitly mention labeling tools, your work reflects creation of training-oriented datasets and modeling pipelines that require prompt and response design for LLM-driven components. • Built regression, classification, and clustering models using Python. • Applied mathematical analysis and statistical methods to real-world business problems. • Supported downstream AI systems with structured data science pipelines. • Combined modeling outcomes with prompt/LLM workflow needs for automation.

2019 - 2022

Education

Work History