Hi. I'm Joseph. I Build AI for People.
Intelligent systems for complex problems
I'm an AI Engineer at T-Mobile, building direct-to-consumer AI experiences within the IntentCX team. My work centers on creating intelligent, production-ready systems that make every customer interaction more natural, personal, and efficient. I'm driven by the belief that artificial intelligence can meaningfully enhance how people connect with technology. From designing conversational agents to deploying multimodal models at scale, I focus on turning cutting-edge AI into intuitive, impactful products that truly serve people. My goal is not just to push the boundaries of what's possible—but to make those innovations accessible, reliable, and human-centered.
Professional Experience
My journey in AI research and development
AI Engineer
- Bridge AI and CX → Designing, training, and optimizing AI/LLM systems (e.g., intent detection, agentic workflows) that directly improve customer experience interactions at scale
- Operationalizing AI → Owning the lifecycle from prototyping to production deployment: benchmarking, evaluation, monitoring, and iteration in real-world CX systems
- Cross-functional collaboration → Partnering with data scientists, engineers, and product managers to integrate AI solutions into existing platforms, ensuring seamless user experiences and measurable business impact
AI/ML Engineer Intern
- Developing a cross-platform GPU benchmarking suite to evaluate ML training and inference performance across NVIDIA CUDA and Apple M-series devices, measuring metrics like FLOPS, memory bandwidth, and latency
- Engineered a reproducible pipeline with statistical rigor, generating detailed Markdown reports and storing performance metrics in a historical SQLite database for long-term trend analysis
- Identified hardware bottlenecks through tests on memory fragmentation, framework overhead, and latency, enabling actionable insights for optimizing ML infrastructure efficiency
Founder
- Architected and deployed autonomous AI agents using LangChain, achieving a 40% improvement in task completion rates and directly supporting customer-driven AI research initiatives
- Spearheaded research initiatives bridging cutting-edge model development with robust, open-source infrastructure improvements
- Designed scalable agent memory systems using vector databases and implemented robust evaluation frameworks that reduced hallucination rates by 85%, ensuring responsible and predictable LLM deployments
Computer Vision Researcher Engineer
- Built and optimized an end-to-end computer vision pipeline for image segmentation and classification, processing 5000+ images with 99% accuracy
- Implemented post-training fine-tuning strategies that reduced segmentation error by 30% and improved model robustness
- Engineered scalable data pipelines, cutting image retrieval latency by 40% and boosting inference speed by 25%
- Developed reinforcement learning-based feedback loops, increasing segmentation consistency by 35% through iterative model updates
Technical Expertise
My technical expertise spans across these key areas, enabling me to build end-to-end AI solutions from research to production.
Featured Projects
A selection of my most impactful work in AI and machine learning.
Let's Work Together
I'm always interested in challenging projects and collaborations. Whether you have a specific project in mind or just want to discuss possibilities, I'd love to hear from you.
josephyared0@gmail.com
linkedin.com/in/josephyared
Phone
206-218-4825
