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I'm an Applied Machine Learning & GenAI Engineer with ~6 years of experience delivering AI-powered products across computer vision, recommender systems, RAG/agentic applications and full-stack platforms. I own the ML lifecycle end-to-end—from problem framing and data pipelines to experimentation, evaluation and deployment—translating messy ideas into reliable, real-world solutions. I've led LLM training and evaluation work at Turing for leading AI providers & clients, building data-labeling workflows, evaluation tools and high-quality datasets used to train and refine frontier models, and previously shipped ML APIs and models into production for web and mobile products. I'm comfortable working fully remote with international teams (including PST overlap) and enjoy turning complex, ambiguous ideas into practical GenAI solutions that people actually use.…I'm an Applied Machine Learning & GenAI Engineer with ~6 years of experience delivering AI-powered products across computer vision, recommender systems, RAG/agentic applications and full-stack platforms. I own the ML lifecycle end-to-end—from problem framing and data pipelines to experimentation, evaluation and deployment—translating messy ideas into reliable, real-world solutions. I've led LLM training and evaluation work at Turing for leading AI providers & clients, building data-labeling workflows, evaluation tools and high-quality datasets used to train and refine frontier models, and previously shipped ML APIs and models into production for web and mobile products. I'm comfortable working fully remote with international teams (including PST overlap) and enjoy turning complex, ambiguous ideas into practical GenAI solutions that people actually use.

Abdulrash Eedoricha

AI Engineer, Data Scientist, Full Stack Developer, +2

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I'm an Applied Machine Learning & GenAI Engineer with ~6 years of experience delivering AI-powered products across computer vision, recommender systems, RAG/agentic applications and full-stack platforms. I own the ML lifecycle end-to-end—from problem framing and data pipelines to experimentation, evaluation and deployment—translating messy ideas into reliable, real-world solutions. I've led LLM training and evaluation work at Turing for leading AI providers & clients, building data-labeling workflows, evaluation tools and high-quality datasets used to train and refine frontier models, and previously shipped ML APIs and models into production for web and mobile products. I'm comfortable working fully remote with international teams (including PST overlap) and enjoy turning complex, ambiguous ideas into practical GenAI solutions that people actually use.…I'm an Applied Machine Learning & GenAI Engineer with ~6 years of experience delivering AI-powered products across computer vision, recommender systems, RAG/agentic applications and full-stack platforms. I own the ML lifecycle end-to-end—from problem framing and data pipelines to experimentation, evaluation and deployment—translating messy ideas into reliable, real-world solutions. I've led LLM training and evaluation work at Turing for leading AI providers & clients, building data-labeling workflows, evaluation tools and high-quality datasets used to train and refine frontier models, and previously shipped ML APIs and models into production for web and mobile products. I'm comfortable working fully remote with international teams (including PST overlap) and enjoy turning complex, ambiguous ideas into practical GenAI solutions that people actually use.

Available to hire

I’m an Applied Machine Learning & GenAI Engineer with ~6 years of experience delivering AI-powered products across computer vision, recommender systems, RAG/agentic applications and full-stack platforms. I own the ML lifecycle end-to-end—from problem framing and data pipelines to experimentation, evaluation and deployment—translating messy ideas into reliable, real-world solutions.

I’ve led LLM training and evaluation work at Turing for leading AI providers & clients, building data-labeling workflows, evaluation tools and high-quality datasets used to train and refine frontier models, and previously shipped ML APIs and models into production for web and mobile products. I’m comfortable working fully remote with international teams (including PST overlap) and enjoy turning complex, ambiguous ideas into practical GenAI solutions that people actually use.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Python Developer & AI Research Team Lead at Turing

August 1, 2022 - September 1, 2025

Led LLM training and evaluation for leading AI providers via Turing, generating high-quality prompts, ideal responses and multi-turn dialogues across coding, reasoning and general knowledge tasks. Reviewed and ranked model outputs for correctness, clarity, safety and policy compliance, providing structured feedback that fed into preference-learning style training loops and model iteration. Built data-labeling workflows and evaluation tools, surfaced edge cases and UX gaps to improve reliability of annotation and evaluation at scale. Researched and fact-checked complex topics, breaking long-form content into structured datasets to reduce hallucinations and improve answer quality. Shipped ML APIs and models into production for web and mobile products; collaborated with international teams to turn messy ideas into reliable GenAI solutions.

Machine Learning Engineer at Zkyte Technologies Limited

January 1, 2021 - May 1, 2022

Designed and implemented ML systems end-to-end: data exploration, feature engineering, training, evaluation and deployment into customer-facing applications. Exposed models as well-documented APIs so mobile and web teams could integrate ML features without needing to understand the underlying models. Retrained and updated models on evolving datasets to keep performance aligned with changing business requirements and user behavior. Evaluated and adopted tools such as PyTorch, scikit-learn and Intel OpenVINO to accelerate prototyping and deployment across different use cases, including edge scenarios. Collaborated with non-ML stakeholders to select feasible approaches, communicate trade-offs and ensure ML outputs were understandable and trustworthy.

Software Engineer / Assistant Technical Manager at Vainworld Limited

August 1, 2018 - December 1, 2020

Researched, designed, implemented and managed web and mobile applications, creating product surfaces later used for AI and data-driven features. Gathered and analyzed stakeholder requirements, translating them into technical specifications and delivery roadmaps. Coordinated with design, engineering and business teams to scope features, plan releases and ensure shipped functionality aligned with goals. Provided technical leadership on architecture, code quality and development practices to keep projects maintainable as they grew.