Available to hire
I’m Kareem Maize, a Senior AI Software Engineer focused on designing and deploying scalable AI platforms for retail and enterprise. I build AI-powered shopping experiences, vision systems, and intelligent automation that bridge research and product outcomes, delivering measurable impact for customers and businesses.
I lead cross-functional teams, mentor engineers, and drive architectural decisions to ensure reliable, high-quality software. My work spans generative AI, computer vision, real-time inference, and governance to uphold responsible AI practices across platforms.
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Work Experience
Lead AI Engineer at Walmart Inc
September 1, 2022 - PresentLed architecture and deployment of Sparky, Walmart’s generative AI shopping assistant used by millions via the Walmart app. Built a conversational understanding layer with retail-tuned LLMs to interpret natural language queries and orchestrate multi-step tasks (e.g., event planning, seasonal recommendations, bundled shopping journeys). Optimized the recommendation engine with transformers, CNNs, and attention networks to improve accuracy. Designed ranking and RL-based recommendations to boost relevance. Implemented automated data validation and anomaly detection workflows, reducing input data errors by 42% and improving model stability. Built ETL pipelines with PySpark and Pandas for feature engineering. Integrated FastAPI microservices to serve models in real time, cutting API latency by 40% vs Flask. Improved CTR by 12% and basket size by 9%. Enhanced Sparky’s accuracy with hybrid DL methods and optimized inference, cutting query latency by 1.4s. Led to a 35% rise in user engagem
Senior AI Software Engineer at Sam’s Club
March 1, 2019 - August 1, 2022Designed and launched AI-powered exit verification technology integrated with the Scan & Go app to replace manual receipt checks, reducing member exit times by up to 23%. Built end-to-end services with Node.js, Python (Flask), and React to connect vision APIs, payments, and member accounts in real time, ensuring seamless mobile/in-store experiences. Developed RESTful APIs and microservices on AWS with millions of daily transactions, achieving 99.99% uptime and sub-second responses. Collaborated with data scientists to integrate CV models for cart item recognition, improving object detection accuracy by 22% through better labeling and inference optimization. Led migration from monolithic to microservices, boosting deployment velocity by 40% and enabling independent scaling of vision, payments, and auth components.
Full Stack Engineer at HCL Tech
October 1, 2011 - February 1, 2019Developed recurrent and convolutional neural network models for anomaly detection and NLP automation; built predictive maintenance and anomaly detection using time-series analysis and Bayesian optimization, reducing incident resolution time by 35%. Implemented data integrity frameworks with schema validation and outlier analysis. Deployed NLP-based ticket classification and anomaly detection across client accounts, improving MTTR. Led AI Force, a patented generative AI platform automating critical IT operations and software engineering tasks for global enterprise clients. Introduced MLOps practices to improve reproducibility and reduce deployment latency; contributed to legacy modernization from COBOL/C++ to Java.
Education
Bachelor’s Degree in Computer Science at Saint Vincent College
June 1, 2007 - September 1, 2011Qualifications
Industry Experience
Retail, Software & Internet, Professional Services
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Expert
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