Abdurrahman K.

Key Skills

Software

No software listed

Top Subject Matter

AI conversational assistant for payments (LLM intent parsing)

AI-powered aviation training platform backend

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Senior Backend Engineer, Mono — AI-driven WhatsApp payment assistant backend implementation. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Federal University of Agriculture, Abeokuta (FUNAAB) (2024). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Prompt + Response Writing (SFT), Computer Programming, and Coding.

Labeling Experience

Senior Backend Engineer, Mono — AI-driven WhatsApp payment assistant backend implementation

Don't discloseTextPrompt + Response Writing (SFT)

Led backend implementation of an AI-driven WhatsApp payment assistant, where conversational intent had to be parsed from user messages. Integrated LLM-based intent parsing into payment workflows, supporting reliable downstream processing of finance-related requests. Coordinated with AI and frontend teams to translate conversational flows into robust backend APIs for the assistant.•Built LLM-based intent parsing integration tied to WhatsApp user messages.•Designed secure and idempotent payment workflows for conversational triggers.•Implemented webhook-driven and queue-based processing pipelines to ensure reliability, retries, and consistency.•Improved observability (structured logging, metrics, alerting) to reduce payment-related failures.

2024 - Present

Senior Software Engineer, Amtil Inc. — Backend work supporting AI-powered aviation training

Don't disclose

Developed backend capabilities for AI-powered aviation training platforms, supporting AI training features at the application level. Refactored a large portion of a legacy codebase to improve performance and maintainability of the AI training product. Added automated testing and CI pipelines to reduce production bugs affecting the training experience.•Led backend architecture and major feature implementations for AI-powered aviation training platforms.•Refactored ~75% of legacy codebase to improve performance and maintainability.•Implemented automated testing and CI pipelines, reducing production bugs by 40%.•Collaborated with QA and product teams to deliver high-quality releases.

2023 - 2024

Education

Work History