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I am an experienced AI developer with 10+ years of expertise in AI-powered design systems, specializing in AI-driven background generation and print label design workflows. I build AI-powered tools to automate design tasks and ensure print specifications like bleed, trim, and safe zones are respected. I excel at translating user notes into production-ready backgrounds and guiding AI image generation for physical products. I advocate for robust toolchains (including RAG) to deliver high-quality, consistent results across large-scale print production, collaborating with cross-functional teams to integrate AI features into production pipelines.…I am an experienced AI developer with 10+ years of expertise in AI-powered design systems, specializing in AI-driven background generation and print label design workflows. I build AI-powered tools to automate design tasks and ensure print specifications like bleed, trim, and safe zones are respected. I excel at translating user notes into production-ready backgrounds and guiding AI image generation for physical products. I advocate for robust toolchains (including RAG) to deliver high-quality, consistent results across large-scale print production, collaborating with cross-functional teams to integrate AI features into production pipelines.

Abraheem Irheem

AI Engineer, Data Scientist, Full Stack Developer, +3

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I am an experienced AI developer with 10+ years of expertise in AI-powered design systems, specializing in AI-driven background generation and print label design workflows. I build AI-powered tools to automate design tasks and ensure print specifications like bleed, trim, and safe zones are respected. I excel at translating user notes into production-ready backgrounds and guiding AI image generation for physical products. I advocate for robust toolchains (including RAG) to deliver high-quality, consistent results across large-scale print production, collaborating with cross-functional teams to integrate AI features into production pipelines.…I am an experienced AI developer with 10+ years of expertise in AI-powered design systems, specializing in AI-driven background generation and print label design workflows. I build AI-powered tools to automate design tasks and ensure print specifications like bleed, trim, and safe zones are respected. I excel at translating user notes into production-ready backgrounds and guiding AI image generation for physical products. I advocate for robust toolchains (including RAG) to deliver high-quality, consistent results across large-scale print production, collaborating with cross-functional teams to integrate AI features into production pipelines.

Available to hire

I am an experienced AI developer with 10+ years of expertise in AI-powered design systems, specializing in AI-driven background generation and print label design workflows. I build AI-powered tools to automate design tasks and ensure print specifications like bleed, trim, and safe zones are respected.

I excel at translating user notes into production-ready backgrounds and guiding AI image generation for physical products. I advocate for robust toolchains (including RAG) to deliver high-quality, consistent results across large-scale print production, collaborating with cross-functional teams to integrate AI features into production pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Lead AI Engineer at Nike

January 1, 2021 - Present

Designed and developed AI-powered label generation systems for Nike's e-commerce platform, ensuring print specifications (bleed, trim, safe zones) and reducing design errors by 30%. Automated branded merchandise creation using custom user notes, speeding design cycles by 25%. Led development of a background-generation system producing print-ready outputs, cutting iteration time by 35%. Implemented real-time AI-driven design customization tools for personalized product labels. Improved design-to-production throughput by 40%. Mentored junior engineers in best practices for prompt engineering and generative design systems.

Senior AI/ML Engineer at Urbint

July 1, 2019 - December 1, 2020

Designed an AI-driven risk surveillance platform processing over 200 CCTV feeds in real time using GCP Cloud Run, Pub/Sub, and Cloud Functions. Fine-tuned LLMs for chatbot-style recommendations and generated synthetic datasets using LangChain and OpenAI for domain adaptation. Delivered a computer vision and NLP document parsing platform using Vision API, NLP API, AI Platform, and GKE, supporting large-scale multi-tenant deployment. Achieved 85% test coverage across ML pipelines using Pytest and Cypress, ensuring production reliability. Led secure, multi-tenant, HIPAA-compliant cloud architecture design on GCP and mentored new team members.

AI/ML Engineer at Optum

July 1, 2017 - June 1, 2019

Developed chronic disease risk prediction models using claims and EHR data with Scikit-learn and TensorFlow, improving predictive accuracy by 25%. Built FHIR and HL7-compliant APIs using Flask and FastAPI to integrate ML models into clinical workflows. Implemented ETL pipelines with PySpark and Airflow while ensuring HIPAA compliance and data governance. Designed NLP pipelines for clinical note classification to enhance clinical decision support. Deployed retrainable ML services using Azure ML, MLflow, and Kubernetes.

Data Engineer at Stealth Mode Startup

December 1, 2016 - June 1, 2017

Designed scalable data ingestion pipelines for large-scale annotation data used in computer vision models. Developed Python-based ETL workflows integrating internal APIs and third-party data sources. Automated data validation and transformation processes using CI/CD pipelines to ensure data integrity. Collaborated with product teams to optimize data flows for a SaaS e-commerce analytics platform, improving performance and reporting accuracy.