Kareem M.
Lead AI Engineer
Experience
Sep 2022 - Present
3 years 3 monthsLead AI Engineer
Walmart Inc
- Led architecture and deployment of Sparky, Walmart’s generative AI shopping assistant, used by millions of customers via the Walmart app
- Engineered a conversational understanding layer using retail-tuned LLMs that interprets natural language queries and orchestrates multi-step tasks (e.g., event planning, seasonal recommendations, and bundled shopping journeys)
- Optimized deep neural architectures in Sparky’s recommendation engine using transformers, CNNs, and attention networks to increase accuracy
- Designed ranking and recommendation algorithms with deep learning and reinforcement learning to improve relevance
- Implemented automated data validation and anomaly detection workflows, reducing input data errors by 42% and improving model stability
- Built ETL workflows and feature engineering pipelines using PySpark and Pandas, reducing data preparation time
- Integrated FastAPI microservices to serve deep learning models in real time, reducing API response latency by 40% compared to Flask endpoints
- Refined recommendation ranking models, increasing click-through rate by 12% and basket size by 9%
- Enhanced Sparky’s recommendation accuracy through hybrid deep learning techniques and optimized inference pipelines, reducing query response time by 1.4 seconds
- Achieved a 35% rise in user engagement and an 18% boost in feature adoption within six months
Mar 2019 - Aug 2022
3 years 6 monthsSenior AI Software Engineer
Sam’s Club
- Designed and launched AI-powered exit verification technology – replacing manual receipt checks and reducing member exit times by up to 23%
- Engineered and deployed a large-scale computer vision–driven exit verification system, integrating it with the Scan & Go app to automatically validate customer purchases, eliminating manual receipt checks
- Developed end-to-end services using Node.js, Python (Flask), and React to connect vision recognition APIs, payment systems, and member accounts in real time, ensuring seamless synchronization between mobile and in-store experiences
- Built and optimized RESTful APIs and microservices hosted on AWS (Lambda, S3, EC2) to handle millions of daily transactions with 99.99% uptime and sub-second response times
- Collaborated with data scientists and ML engineers to integrate computer vision models for cart item recognition; improved accuracy of object detection by 22% through better data labeling, preprocessing, and inference optimization
- Led migration from monolithic architecture to microservices, improving deployment velocity by 40% and enabling independent scaling of vision processing, payment verification, and customer authentication modules
Oct 2011 - Feb 2019
7 years 5 monthsFull Stack Engineer
HCL Tech
- Developed recurrent and convolutional neural network models for anomaly detection and NLP automation, reducing incident classification errors
- Built predictive maintenance and anomaly detection algorithms using time-series analysis and Bayesian optimization, reducing incident resolution time by 35%
- Developed data integrity and audit frameworks with schema validation and outlier analysis, increasing data reliability across client environments
- Reduced IT operations incident resolution time by 35% via AI-Force predictive maintenance automation, saving enterprise clients $2.5 million annually
- Deployed NLP-based ticket classification and anomaly detection systems, decreasing mean time to resolution
- Implemented MLOps practices across client accounts, improving model reproducibility and reducing deployment latency
- Developed legacy modernization accelerators converting COBOL and C++ codebases into Java architectures, cutting modernization timelines by over 40%
- Led development of AI Force – a patented generative AI platform automating critical IT operations and software engineering tasks for global enterprise clients
Summary
Senior Lead AI Engineer specializing in designing and deploying scalable AI platforms for retail and enterprise, with expertise in generative AI, computer vision, and intelligent automation. Recognized for delivering impactful, customer-facing products and leading cross-functional teams to bridge research and engineering for robust business outcomes.
Languages
English
IntermediateEducation
Jun 2007 - Sep 2011
Saint Vincent College
Bachelor’s Degree · Computer Science · United States
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