I'm a Senior AI/ML Engineer with 10+ years of software engineering experience, focused on prompt engineering, LLM and image generation workflows, and production-grade AI systems. I design AI-powered features for web applications, including generative AI background design pipelines that meet real-world printing specifications such as bleed, trim, and safe zones. I build RAG-enabled workflows, structured prompt systems, and evaluation pipelines to ensure consistent, print-ready image outputs. I translate user custom notes into reliable AI-generated assets for physical products, collaborating with product stakeholders to deliver high-quality visuals and reliable design features across packaging and events.

Jeffrey Conradi

I'm a Senior AI/ML Engineer with 10+ years of software engineering experience, focused on prompt engineering, LLM and image generation workflows, and production-grade AI systems. I design AI-powered features for web applications, including generative AI background design pipelines that meet real-world printing specifications such as bleed, trim, and safe zones. I build RAG-enabled workflows, structured prompt systems, and evaluation pipelines to ensure consistent, print-ready image outputs. I translate user custom notes into reliable AI-generated assets for physical products, collaborating with product stakeholders to deliver high-quality visuals and reliable design features across packaging and events.

Available to hire

I’m a Senior AI/ML Engineer with 10+ years of software engineering experience, focused on prompt engineering, LLM and image generation workflows, and production-grade AI systems. I design AI-powered features for web applications, including generative AI background design pipelines that meet real-world printing specifications such as bleed, trim, and safe zones.

I build RAG-enabled workflows, structured prompt systems, and evaluation pipelines to ensure consistent, print-ready image outputs. I translate user custom notes into reliable AI-generated assets for physical products, collaborating with product stakeholders to deliver high-quality visuals and reliable design features across packaging and events.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Fluent

Work Experience

Senior AI/ML Engineer / Team Lead at Hyatt Hotels Corporation
June 1, 2022 - December 1, 2025
Supported the development, administration, and maintenance of enterprise AI/ML platforms, ensuring scalability and reliability for clinical and operational ML workloads. Orchestrated training, deployment, and inference pipelines within Dataiku targeting Azure and Kubernetes clusters to enable large-scale data science and real-world delivery. Developed and maintained MLOps workflows for reproducibility, version control, and model lifecycle management while ensuring compliance with enterprise governance standards. Managed containerized environments using Docker and Kubernetes and provided hands-on platform support to data scientists and ML engineers. Monitored platform performance, cost, security, and regulatory compliance; assisted with HL7 and FHIR data integration; built scalable feature engineering and model-tracking workflows. Contributed to architecture reviews, project requests, and knowledge transfer through training and documentation.
Senior Full Stack Engineer at Urbint
December 1, 2020 - June 1, 2022
Designed end-to-end surveillance and risk analysis system integrating 200+ CCTV cameras, performing real-time data processing on Google Cloud. Generated custom datasets using LangChain, Python, and OpenAI with self-instruction and prompt-evolving methodologies. Fine-tuned LLMs to develop a chatbot-style recommendation system. Implemented end-to-end tests with Cypress and Pytest achieving up to 85% coverage. Built a CV+NLP document parsing platform leveraging Google Cloud serverless solutions and AI services, with custom model building using AI Platform + model registry + GKE to enable horizontal scalable ML deployment. Architected GCP architecture with emphasis on security, privacy, end-to-end data flow, and multi-tenant design. Mentored teammates in onboarding processes and DevOps collaboration.
AI/ML Engineer at Cisco
May 1, 2016 - October 1, 2020
Developed a recommendation engine identifying feedback and user reactions from CRM and social media with NLP (NER, NLU, NLG). Implemented keyword extraction and document classification for service requests using unsupervised LDA. Classified Cisco products into categories to support sales. Clustered features of products based on text data and summary fields with NLP and K-means clustering.
Software Engineer at Stealth Mode Startup
June 1, 2011 - June 1, 2014
Optimized SaaS solution with UI/UX research for e-commerce; built data annotation platform for AI projects; built custom API endpoints with Python and implemented CI/CD.
ML Data Engineer at Stealth Mode Startup
June 1, 2011 - June 1, 2014
Designed and implemented scalable ETL pipelines processing transactional and behavioral e-commerce data to improve ML data readiness by 40%. Built feature engineering workflows supporting product recommendation and object detection models, accelerating experimentation cycles by 35%. Developed RESTful APIs in Python to serve ML inference endpoints for real-time personalization. Architected a microservices-based data processing system handling high-volume user traffic with 99.9% uptime. Containerized ML workflows with Docker and CI/CD pipelines, reducing deployment time by 40%. Built internal data annotation platform for CV model training. Optimized SQL transformations to improve batch processing efficiency by 30%. Collaborated with cross-functional teams translating business requirements into scalable ML solutions.
Senior AI Full Stack Engineer at Urbint
December 1, 2020 - June 1, 2022
Architected real-time AI risk detection system integrating 200+ CCTV streams using Google Cloud (GKE, Cloud Run, Pub/Sub), reducing incident detection time by 40%. Designed scalable ML pipelines for computer vision and NLP workloads improving processing throughput by 35%. Built CV + NLP document intelligence platform increasing automated document classification accuracy by 30%. Fine-tuned LLM-based recommendation models using LangChain and OpenAI APIs improving predictive relevance by 30%. Implemented model versioning and lifecycle management improving deployment reproducibility by 35%. Achieved 85%+ test coverage using Pytest and Cypress. Designed secure, multi-tenant cloud architecture meeting enterprise privacy and compliance standards.
Senior AI/ML Engineer at Hyatt Hotels Corporation
June 1, 2022 - December 1, 2025
Designed and implemented an AI-powered image generation workflow that transforms user custom notes into production-ready background designs, improving output consistency by 35%. Engineered prompt engineering frameworks for generative AI models including Google AI Studio and advanced image generation models, ensuring backgrounds complied with bleed, trim, and safe zone specifications for print and physical products. Developed structured prompt templates and constraint-aware workflows to enforce real-world printing specifications, reducing design rejection rates by 40%. Built RAG-enabled pipelines to incorporate product-specific label dimensions, packaging metadata, and printing guidelines into image generation prompts, increasing specification compliance by 32%. Created evaluation and validation frameworks to automatically assess generated backgrounds for print-readiness, resolution, aspect ratio, and safe zone alignment, achieving 98% production acceptance. Optimized image generation l

Education

Bachelor's degree in Computer Science at University of Nevada
September 1, 2007 - May 1, 2011
Master’s Degree in Computer Science at University of Nevada
August 1, 2014 - May 1, 2016
Bachelor's degree in Computer Science at University of Nevada
September 1, 2007 - May 1, 2011
Master's Degree in Computer Science at University of Nevada
August 1, 2014 - May 1, 2016
Bachelor's degree in Computer Science at University of Nevada
September 1, 2007 - May 1, 2011
Master’s Degree in Computer Science at University of Nevada
August 1, 2014 - May 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Professional Services, Media & Entertainment, Retail, Travel & Hospitality