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I am a Machine Learning Engineer and Data Scientist with over 10 years of experience delivering AI solutions across the full ML lifecycle. I specialize in generative AI, NLP, deep learning, and model optimization, with a strong record of success in scaling distributed training and deploying hardware-aware models on major cloud platforms like AWS, GCP, and Azure. I am passionate about integrating AI into enterprise systems to drive measurable business impact across various industries including telecommunications, real estate, and consumer technology. Throughout my career, I have led teams and projects centered on large language models and conversational AI, pioneered on-device AI model optimizations for mobile products, and developed scalable cloud infrastructures for real-time AI services. I enjoy collaborating across multiple teams to bridge the gap between cutting-edge research and production-level deployment, ensuring AI innovations translate into world-class products that enhance user experiences globally.…I am a Machine Learning Engineer and Data Scientist with over 10 years of experience delivering AI solutions across the full ML lifecycle. I specialize in generative AI, NLP, deep learning, and model optimization, with a strong record of success in scaling distributed training and deploying hardware-aware models on major cloud platforms like AWS, GCP, and Azure. I am passionate about integrating AI into enterprise systems to drive measurable business impact across various industries including telecommunications, real estate, and consumer technology. Throughout my career, I have led teams and projects centered on large language models and conversational AI, pioneered on-device AI model optimizations for mobile products, and developed scalable cloud infrastructures for real-time AI services. I enjoy collaborating across multiple teams to bridge the gap between cutting-edge research and production-level deployment, ensuring AI innovations translate into world-class products that enhance user experiences globally.

Ryan Jackson

AI Engineer, Data Scientist, Full Stack Developer, +1

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I am a Machine Learning Engineer and Data Scientist with over 10 years of experience delivering AI solutions across the full ML lifecycle. I specialize in generative AI, NLP, deep learning, and model optimization, with a strong record of success in scaling distributed training and deploying hardware-aware models on major cloud platforms like AWS, GCP, and Azure. I am passionate about integrating AI into enterprise systems to drive measurable business impact across various industries including telecommunications, real estate, and consumer technology. Throughout my career, I have led teams and projects centered on large language models and conversational AI, pioneered on-device AI model optimizations for mobile products, and developed scalable cloud infrastructures for real-time AI services. I enjoy collaborating across multiple teams to bridge the gap between cutting-edge research and production-level deployment, ensuring AI innovations translate into world-class products that enhance user experiences globally.…I am a Machine Learning Engineer and Data Scientist with over 10 years of experience delivering AI solutions across the full ML lifecycle. I specialize in generative AI, NLP, deep learning, and model optimization, with a strong record of success in scaling distributed training and deploying hardware-aware models on major cloud platforms like AWS, GCP, and Azure. I am passionate about integrating AI into enterprise systems to drive measurable business impact across various industries including telecommunications, real estate, and consumer technology. Throughout my career, I have led teams and projects centered on large language models and conversational AI, pioneered on-device AI model optimizations for mobile products, and developed scalable cloud infrastructures for real-time AI services. I enjoy collaborating across multiple teams to bridge the gap between cutting-edge research and production-level deployment, ensuring AI innovations translate into world-class products that enhance user experiences globally.

Available to hire

I am a Machine Learning Engineer and Data Scientist with over 10 years of experience delivering AI solutions across the full ML lifecycle. I specialize in generative AI, NLP, deep learning, and model optimization, with a strong record of success in scaling distributed training and deploying hardware-aware models on major cloud platforms like AWS, GCP, and Azure. I am passionate about integrating AI into enterprise systems to drive measurable business impact across various industries including telecommunications, real estate, and consumer technology.

Throughout my career, I have led teams and projects centered on large language models and conversational AI, pioneered on-device AI model optimizations for mobile products, and developed scalable cloud infrastructures for real-time AI services. I enjoy collaborating across multiple teams to bridge the gap between cutting-edge research and production-level deployment, ensuring AI innovations translate into world-class products that enhance user experiences globally.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

Work Experience

Senior Machine Learning Engineer at Apple Inc

April 1, 2024 - Present

Contributed to the next-generation conversational AI for Siri, improving user experience and enabling more natural interactions on millions of devices. Led a team of over 15 ML engineers advancing large language models, multi-turn dialogue capabilities, and intelligent agent design. Delivered optimized, low-latency models using quantization, pruning, and distillation for on-device deployment, and built automated MLOps pipelines with Kubernetes and CI/CD for reproducible and scalable workflows. Developed advanced evaluation frameworks with reinforcement learning from human feedback and large-scale A/B testing. Optimized distributed training and inference pipelines using AWS Sagemaker, Ray, Horovod, and hardware accelerators, ensuring high availability and cost efficiency. Partnered cross-functionally to integrate ML models into Siri’s production systems with fault tolerance and hybrid edge-cloud orchestration.

Machine Learning Engineer at Yardi Systems, Inc

April 1, 2024 - August 29, 2025

Led AI-powered solution design and deployment to transform property management operations using generative AI, NLP, and deep learning techniques within cloud-native architectures. Developed LLM-based automation for text processing, multi-turn chatbots with context awareness, and deep learning pipelines for OCR and information extraction, reducing manual workload and processing times significantly. Engineered Kubernetes-based real-time model serving on GCP with Docker and Pub/Sub for millions of customer records. Applied computer vision models for property image classification and object detection to improve listing quality. Automated end-to-end ML pipelines with GitLab CI/CD, feature engineering, and hyperparameter tuning. Collaborated with product and UX teams to integrate AI insights into SaaS products across property search, maintenance scheduling, and tenant engagement.

Data Scientist at Verizon Communications Inc

March 31, 2018 - August 29, 2025

Supported network planning and capital optimization by maintaining and enhancing geospatial analytics models to identify optimal network infrastructure placement. Analyzed large-scale network datasets using SQL, Hive, PySpark, and Python to extract actionable insights for multiple business units. Created interactive dashboards and visualizations for stakeholder decision-making. Led a $2B+ capital budgeting analysis project including development of allocation models and traceable data pipelines. Employed geospatial tools for data integration to inform infrastructure strategy. Designed and optimized ETL workflows for data ingestion and transformation using Airflow, Hadoop, and AWS S3. Collaborated with engineering, finance, and operations teams to validate models and integrate predictive analytics into investment planning.