Ai S.

Key Skills

Software

Other

Label Studio

Appen

Clickworker

Mercor

Top Subject Matter

LLM-powered automated code refactoring and developer automation

LLM integrations and AI-enabled backend automation

Top Data Types

Text

Image

Computer Code Programming

Top Task Types

Function Calling

Classification

Entity (NER) Classification

Text Generation

Object Detection

RLHF

Freelancer Overview

Founder / AI Tools R&D — CodeCrusher Lab (Remote). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Kabarak University (2010) and Master of Science, University of Colorado Boulder. AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming, Coding, and Function Calling.

Labeling Experience

Founder / AI Tools R&D — CodeCrusher Lab (Remote)

Built and open-sourced AI developer tooling to automate code refactoring across multi-repo codebases using LLM workflows. Focused on agentic LLM orchestration that analyzes and modifies source code with iterative quality improvements. Worked on multilingual AI platform prototypes to support African developer use cases and reduce manual developer effort. • Automated code transformation/refactoring across repositories • Designed multi-step agentic LLM workflows • Implemented feedback loops to improve output quality over time • Developed CLI/web tooling for analyzing and modifying repositories

2023 - Present

Senior Backend Engineer / AI Systems Engineer — Codegx Technologies (Nairobi)

OtherFunction Calling

Architected and shipped AI-enabled backend systems and automation pipelines that integrated LLM systems into production workflows. Delivered developer tooling that reduces manual engineering overhead by 30–40% across teams. Contributed to scalable APIs and automation that support LLM-driven backend operations in fintech and governance contexts. • Designed automation pipelines incorporating LLM-based processing • Reduced manual engineering overhead across product teams • Mentored engineers and led architecture reviews for AI systems • Supported production deployments of AI-integrated backend services

2018 - Present

Education

Work History