Adeolu S.

Key Skills

Software

AWS SageMaker

Appen

Clickworker

Dataloop

Google Cloud Vertex AI

Mercor

Micro1

Telus

Surge AI

Top Subject Matter

Technology – Code Generation, API Evaluation & Safety Red Teaming

Autonomous Systems – Computer Vision, Sensor Fusion & LiDAR Tagging

E-commerce – Automated Product Categorization, API Search & Recommendations

Top Data Types

Image

Video

Text

Top Task Types

Segmentation

Classification

Text Generation

Question Answering

Text Summarization

Object Detection

RLHF

Fine-tuning

Transcription

Red Teaming

Evaluation/Rating

Polyline

Cuboid

Entity (NER) Classification

Point/Key Point

Polygon

Computer Programming/Coding

Data Collection

Function Calling

Bounding Box

Prompt + Response Writing (SFT)

Freelancer Overview

Results-driven Mobile Developer (Flutter) and Software Engineer bringing 8+ years of professional experience across complex software workflows, technical research, and quality-focused execution. Holds a Bachelor of Software Engineering from the Federal University of Technology, Akure. Expert at bridging the gap between mobile architectures, API integrations, and high-quality LLM data annotation. Specialized in evaluating complex code generation, debugging mobile/web frameworks, and validating structured datasets in high-stakes domains. Core Domain Expertise & Technical Skills: Technology & Code Generation (Flutter/Dart, Mobile & Web): Deep expertise in mobile development using Flutter, Dart, and related technical stacks. Experienced in Code Red Teaming, debugging LLM outputs, verifying API integrations, and evaluating multi-language code generation for technical accuracy. Finance & Fintech: Skilled in parsing and labeling structured transaction logs, identifying anomalies for mobile fraud detection algorithms, and training risk-analysis models on financial regulatory compliance. Healthcare & HealthTech: Proficient in labeling semi-structured electronic health records (EHR), Named Entity Recognition (NER) for medical data, and maintaining strict compliance standards for digital health applications. Detail-oriented, technically rigorous, and committed to delivering high-quality training datasets that eliminate model hallucinations and optimize AI performance.

Education

Work History