[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-241327-105":53,"doc-detail-241327-en":126},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","michaelmedfordresume","MichaelMedfordResume","","Professional resume for Michael Medford, Ph. D., detailing AI systems engineering leadership and end-to-end experience across scalable data infrastructure, workflow orchestration, and LLM-driven automation. Highlights include building event-sourced and Temporal-based orchestration engines, enabling auditable AI workflows, and integrating shared business context for agentic execution. Prior roles cover AI-assisted software development adoption, large-scale imaging data infrastructure, operational reporting automation, database security and architecture roadmaps, and production microservices for indexing and synchronization within major platforms.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":16,"@type":70,"position":76},"https://docshare.wps.com/template/resumes/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/michaelmedfordresume/241327/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/michaelmedfordresume/241327.png","ImageObject",442,249,{"name":88,"@type":89},"Riley","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-01","2026-09-12",true,{"@type":98,"interactionType":99,"userInteractionCount":79},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What are Michael Medford’s core areas of expertise?","Question",{"text":108,"@type":109},"He focuses on scalable data infrastructure, workflow orchestration, and LLM-driven automation for complex technical domains.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What did he build at DillyAI?",{"text":113,"@type":109},"He architected and built a core engagement engine on an event-sourced Temporal framework and implemented LLM-driven workflows with auditable verification pipelines.",{"name":115,"@type":106,"acceptedAnswer":116},"How did he improve engineering and data workflows in earlier roles?",{"text":117,"@type":109},"He led adoption of AI-assisted development practices, redesigned engineering processes for throughput, built data infrastructure for large-scale imaging datasets, and automated operational reporting to reduce manual time.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},241327,1790354762,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":15,"category_name":16,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":79,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":73,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":139,"read_time":9},1374391975076,"https://ap-avatar.wpscdn.com/avatar/14000253ca4ec9f6853?x-image-process=image/resize,m_fixed,w_180,h_180&k=1783305029341752051","Michael Medford, Ph. D  \nI am a founding engineer and engineering leader building AI systems for corporate accounting. I specialize in scalable data infrastructure, workflow orchestration, and LLM-driven automation for complex technical domains. My background in astrophysics and scientific computing has enabled me to design reliable systems that transform ambiguous, data-intensive workflows into scalable software platforms.  \nSkills  \nWork Experience  \n\n| [MichaelMedford@gmail.com](MichaelMedford@gmail.com) · 973.600.0340 · [www.MichaelMedford.com](www.MichaelMedford.com) · [github.com/MichaelMedford](github.com/MichaelMedford) |\n| --- |\n| Python, Go, SQL, Distributed Systems, Workflow Orchestration, LLM & Agentic Workflows, RetrievalAugmented Generation, Platform Architecture, PostgreSQL, Kafka, OpenSearch, Airflow, Prefect, Temporal, Docker, Kubernetes, AWS, GCP, Operational Automation, Data Infrastructure, Cloud Architecture |\n\nFounding Engineer & VP of Engineering  \nDillyAI · June 2026-Present  \n• Architected and built the core engagement engine on an event-sourced Temporal framework, orchestrating LLM-driven workflows through auditable verification pipelines  \n• Constructed AI-automated engineering workflows enabling massively parallel agentic development of production code, including document concurrency enforcement, human-driven architecture design, and automated cloud-based execution  \n• Established a company-wide information system connecting product, sales, marketing and engineering, giving AI agents shared context across the business  \nStaff Software Engineer-Data Systems  \nKoBold Metals · April 2025-May 2026  \n• Led organizational adoption of AI-assisted software development practices, including introducing local AI tooling workflows, redesigning engineering processes around increased development throughput, and mentoring engineers on AI-native development patterns using Cursor and agent-based workflows.  \n• Designed and operationalized the Korecam360 data infrastructure powering ingestion, synchronization, and retrieval of large-scale core imaging datasets across KoBold’s exploration platform, enabling machine learning workflows, historical backfills, and downstream visualization systems.  \n• Built the Drillshift Daily Updates application after observing operational bottlenecks during fieldwork in Zambia, reducing drill superintendent reporting workflows from multiple hours each morning to approximately 15 minutes through automated workflow coordination and real-time operational reporting.  \nStaff Software Engineer-Subject Matter Expert in Datastores  \nInsight M · July 2024-March 2025  \n• Developed a two-year organizational roadmap to improve data architecture and security, including a staging and development data strategy, a data transformation pipeline for enhanced business intelligence dashboards, and a data retention overhaul, saving the company six figures annually  \n• Optimized database processes by refactoring high-cost computational components, reducing runtime expenses, and enhancing system resiliency with comprehensive test coverage  \n• Enhanced data infrastructure by implementing a database event alert pipeline, launching an internal application for query plan analysis to improve query efficiency, and introducing the company's first postmortem template to foster learning from software retrospectives  \nStaff Software Engineer  \nAumni, a JPMorgan Chase Company · November 2022-June 2024 Promoted from Senior Engineer, July 2023  \n• Redesigned our backend architecture with management, product and engineering to enable flow in stream-aligned teams  \n• Developed a migration plan to maintain 100% uptime while refactoring our Ruby on Rails monolith into a set of independent services within the JPMorgan ecosystem  \n• Designed, documented and deployed to production an independent microservice for indexing millions of documents into OpenSearch in only 6 weeks  \n• Overhauled the infrastructure and tooling for developer data synchronization","cbCaihKnnOtwz94l","https://ap.wps.com/l/cbCaihKnnOtwz94l","pdf",85618,"English","# Skills\n# Work Experience\n## Founding Engineer & VP of Engineering\n## Staff Software Engineer\n## Research Experience\n# Education\n# Public Software Packages\n# Awards","[{\"question\":\"What are Michael Medford’s core areas of expertise?\",\"answer\":\"He focuses on scalable data infrastructure, workflow orchestration, and LLM-driven automation for complex technical domains.\"},{\"question\":\"What did he build at DillyAI?\",\"answer\":\"He architected and built a core engagement engine on an event-sourced Temporal framework and implemented LLM-driven workflows with auditable verification pipelines.\"},{\"question\":\"How did he improve engineering and data workflows in earlier roles?\",\"answer\":\"He led adoption of AI-assisted development practices, redesigned engineering processes for throughput, built data infrastructure for large-scale imaging datasets, and automated operational reporting to reduce manual time.\"}]","MichaelMedfordResume | PDF",1789173738]