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Jaime.E.Espinosa@gmail.com

Summary <BR>Product Management for platforms engineering products for Artificial Intelligence, Big Data, & Cloud - in Seattle<BR>A product manager, a cloud platform engineer, and an AI practitioner. Unique breadth and depth in both engineering and business. Taken a number of products from concept to market, often first to market. <BR>Experience<BR>Sabbatical – Seattle, WA 1/2018 – 3/2019<BR>Microsoft Corporation, Redmond, WA 8/2016 – 10/2017<BR>Principal Technical Product Manager, Microsoft 365 – managed through Valorem Consulting<BR> AI + Data Platforms for Sales: Recommendation engine. Reinforcement Learning. Optimization methods.<BR> Drove 5 sales-and-marketing products that continuously optimize revenue using machine learning<BR> “Business Value Programs” - Presentation generator, Content manager, Value calculator, Live demo generator, Customer CRM <BR> Defined overall vision and product plan, managed 4 program managers, lead data science group, <BR> Designed: the overall product UI and parts of the back-end architecture, data management / feature selection, and machine learning <BR> Built prototypes for machine learning, and developed some production code – generally helping when/where needed<BR> Managed user adoption and its impact on total sales revenue, adding 1/3 of monthly sales, $4B+ in 1st year<BR> Implemented a revenue optimization engine: genetic algorithm on sales content, using sales-people as mutex, & fitness on revenue<BR>Modular Intelligence LLC, Seattle, WA 3/2016 – 8/2016<BR>Co-founder / CTO<BR> Compute Platform for IOT: Data-path networking, and CPU scheduling for remote processing tasks<BR> Built proof-of-concept and sought funding for a product that brings “serverless” services to IOT devices<BR> Wrote a library and service enabling firmware developers to bring workloads onto cloud for processing and analytics<BR>Zillow Group, Inc., Seattle, WA 11/2015 – 3/2016<BR>Senior Technical Program Manager, Business Intelligence and Analytics<BR> AI + Data Platforms for Real-estate: Data platform and data service <BR> Owned Zestimates, tasked with surveying and mapping its architecture, migrating to cloud, and bug discovery<BR> Drove 11 data-scientists, 3 data-engineers, and 9 developers to build a unified data platform – during usage downtime<BR> Architected the roadmap for moving Zestimates from on-prem to the cloud; milestones, ownership, and a strategic plan <BR> Orchestrated emergency mitigation for ETL, service, and product disruptions and errors – issues escalated to Zillow’s founders<BR> Load-balanced team’s workload to fulfil internal team’s request by establishing an intake process, clear priorities, and transparency<BR>Microsoft Corporation, Redmond, WA 3/2013 – 11/2015<BR>Product Manager, Azure Cloud, App Service - Platforms for Web Apps, Mobile Apps, API Apps, Azure Functions<BR> Compute Platforms for Cloud: Serverless and App Platform as a Service - distributed system products<BR> Brought First-to-market Serverless product - Azure WebJobs (rebranded to Azure Functions)<BR> Developed the prototype, business model and drove buy-in through 3 layers of leadership and across XXXXXX groups as lead PM<BR> Developed a vibrant community of users with steady growth of 20% month-to-month, because we obsessed over our customers<BR> Built pricing model, monetization scheme, profitability, costing, customer segmentation, and competitive analysis<BR> Drove the marketing plan, branding, public relations, communication strategy, and versioning / iteration plan<BR> Managed the end-to-end vision and implemented it through influence and partnerships with different teams in Microsoft <BR> Teams included: Visual Studio, Azure App Service, Azure Scheduler, ASP.NET, Azure SDK, and Azure User Experience <BR> Led the team of product managers, engineers, designers, and writers to build a cohesive end-to-end product in 4 months<BR> Architected the product plan for next phases of Azure’s serverless strategy <BR> Drove an infrastructural re-architecture of the Azure App Service platform to improve reliability and scalability<BR> Released a new system architecture to increase parallelism, improve scaling, and gain higher availability, gaining a “9” in SLA<BR> Added a scalable traffic routing security layer, and established release processes to ensure customers were not negatively impacted ML + Data Platforms for products: Analysis & business intelligence modeling and its Data Engineering<BR> Built and lead the internal Analytics team to enable data-driven business and product decisions <BR> Influenced the way Azure did market targeting, system health, growth hacking, and routinely working with the Microsoft C-level team<BR> Built a data warehouse and performed data analysis to derive operational and business insights – used as POC for larger org<BR> Drove the implementation of internal analytics tools – providing a “product science” service for other PM’s and the leadership<BR> Developer platforms for products: <BR> Drove internal architectural and infrastructure optimizations, and business management projects<BR> Presented and participated in weekly meetings with four tiers of management to identify opportunities, risks, and craft marketing<BR> Capacity management: Ensuring data centers can handle customer growth. Joined pre-GA and helped drive business into maturity<BR> on the front end of the web serving data centers – after constructing a failure model <BR> Drove Remote Debugging and Remote Profiler features and services<BR> Coordinated work across groups: Microsoft Security, Visual Studio, Azure SDK, App Service to network data-paths & integrate tools <BR> Drove “Testing in Production” – testing as a service product <BR> Designed and released a testing platform; productized from hackathon and funded after building a compelling business case<BR> Enabled our users to optimize their applications, through A/B testing, flighting releases, and data-collection and analysis <BR>Program Manager<BR> Leading teams: software engineers, technical writers, and program managers<BR> Scrum master for Azure Web App business group - driving all projects’ schedule and priority<BR> Drove 20+ product cycles, release schedules, and features triage for an Azure App Service product group, (~15 PMs, ~40 Devs)<BR> Managed Documentation and Marketing for various product groups<BR> Managed separate teams of up to 20 writers and 30 PM’s across the Web, Mobile, Logic and API product groups of Azure Apps<BR> Worked with the marketing team to coordinate and target the message to generate demand and reach the business goals<BR>Northwestern University, Evanston, IL 6/2010 – 9/2013<BR>Ph.D. Student and Research Assistant in Systems Engineering – a generalist breadth and depth program Compute Platforms: Serverless distributed system research – compute as a commodity<BR> Research on Cloud Computing, focused on distributed computation<BR> Parallelization of Heterogeneous Computing Environments Through Simulation (of many core processors)<BR> Researched methods for an MPI multicore accelerator using a hypervisor to override communication paths <BR> Developed virtual I/O devices for our hypervisor: Palacios Virtualization Platform (http://www.v3vee.org/palacios)<BR> Research on Internet of Things / Wireless Sensor Networks<BR> Collaborated in various WSN papers to help make IOT development easier, by developing platforms, http://absynth-project.org/<BR> Designed and built a “Power Harvesting Module” with flexibility to harvest from any source to any WSN (IOT) device hardware<BR> Built a big data system with for acoustic fingerprints for “BatPhone”, a mobile-phone-based WSN (http://empathicsystems.org)<BR> Adviser: Peter Dinda, Ph.D. – Head of Systems Engineering at Northwestern University<BR>Intel Corp., Research and Development Group, Hillsboro, OR 5/2005 – 6/2009<BR>Program Manager<BR> Leading teams: physicists, hardware engineers, statisticians, material scientists. Quality & Reliability<BR> Launched processor products, driving them across qualifying and manufacturing<BR> Developed strategies and managed tactics to ensure schedules were met – driving individual teams at each stage <BR> Worked with customers to understand their needs, find solutions for their immediate objectives, and keep product moving forward<BR> CPU products owned and brought to market:<BR> Itanium (True 64-bit, natively parallelized architecture): Tukwila (4 cores) (93xx), Poulson (8 cores) (95xx)<BR> Bonnell (Atom): Silverthorne (Z5xx), Diamondville (N2xx, 2xx, 3xx), Pineview (first Intel SOC) (N4/5xx, D4/5xx)<BR>Data Scientist<BR> AI Platform for hardware: AI research and implementation for CPU design and manufacturing. Statistical analysis.<BR> Introduced and proliferated data-driven business and design decisions across various CPU groups <BR> Implemented physical, parametric, statistical and behavioral models for Monte Carlo simulation <BR> Influenced various groups by providing analysis of the impact new methods have versus established methods<BR> Modeled key elements of process manufacturing, product features, and use conditions to construct full product models<BR> Implemented AI tools for optimization by combining particle swarm optimization, fuzzy control logic, & genetic algorithms <BR> Worked on many-model monte-carlo simulator. Adopted by CPU and chipset product groups to improve yield by ~7%<BR>Software Developer<BR> Developer Platform: Scientific tools<BR> Managed, architected, implemented, and evangelized the use of our scientific modeling products<BR> Worked on next generation technology and design, from the top-level chip architecture down to the quantum physical level<BR> Engaged with clients and partners to define the requirements, user interface tests, math formulae, and implemented it into product<BR> Researched and applied new technologies to develop proof-of-concept solutions, and implemented these into a developer platform<BR> Designed and implemented an API and infrastructure to enable developers to expand model libraries and simulation engines<BR> Built a development platform for coding, distributing, and maintaining an expanding suite of scientific software tools <BR> Evangelized software products and business methods to promote adoption<BR> Presenter Speaker at conferences and lead courses subject<BR> Published a number of internal Intel Publications (Academic white-papers)<BR>Consultant work <BR> Miscellaneous projects: <BR> Control system for a robotic arm using machine learning– for a medical research group at Indiana University (‘05)<BR> Implemented a combination of genetic and particle swarm optimization (machine learning) algorithms for motor control<BR> Built a tool to help optimize the step response of a robotic arm for speed and precision as the user defines new goals <BR> Designed the customer a GUI to manipulate Matlab parameters and implemented AI to achieve fast and precise motor control <BR> Three-dimensional triangulation of infrared source – for solar panels company (‘05)<BR> Built a sensor array to triangulate in real-time an infrared source in 3D space (sun) and built a tracking system for solar panels <BR> Heads-up-display (HUD) for Dodge Viper – for a Dodge racing team (‘04)<BR> Lead engineer and product manager to team of 5; responsible for the vision, design, schedule, and budget<BR> Designed and built a heads-up-display that interfaces with the car’s internal computer in real-time through kernel modifications<BR> Designed a miniature optical projector, including ray-tracing for corrective optics in solid state, packaged in small formfactor<BR> Personal Projects <BR> FPGA w/in FPGA: Implemented a look-up-table array and configurable inter-connectivity that can represent any circuit (’06)<BR> Built proof of concept prototype of self-configurable circuits as method for fault-tolerant circuits, using machine learning (’07)<BR> Pet Project: Use AI to find lost dogs, training on owner-uploaded picture set and gamifying lone-dog picture taking (‘18) <BR> Making my house as smart as possible – experimenting with different technologies, approaches, and crazy ideas (’14-present)<BR>Foam Fabricators, Inc (GE and automotive Supplier), New Albany, IN 7/2000 – 8/2002<BR>Engineer, expandable polystyrene (plastic) manufacturing <BR> Data Platform for Quality: data acquisition, automated analysis, and report generator<BR> Built the quality lab from the ground up with a tight budget, and trained staff on tools and methods<BR> Implemented a sensor network and embedded system ‘broker’/hub to post to a central repository<BR> Automated data acquisition, analysis, and reporting to all comply with Six-Sigma and QS9000 requirements<BR>Purdue University 5/2002 – 5/2005<BR>Undergraduate Research Assistant in Machine Learning <BR> Research on real-world applications of AI (focused on Optimization methods and evolutionary alg.)<BR>Education<BR>Ph.D.<BR>Systems Engineering<BR>Northwestern University<BR>ABD<BR>M.S.<BR>Computer Science<BR>Northwestern University<BR>2012<BR>B.S.<BR>Computer Engineering<BR>Purdue University<BR>2004<BR>B.S.<BR>Electrical Engineering<BR>Purdue University<BR>2004<BR>B.S.<BR>Applied Mathematics<BR>Indiana University<BR> Fluent in Spanish, French, and English About me<BR>I am first and foremost a Product Manager. I am also a cloud and platform engineer, and an artificial intelligence practitioner. <BR>As a Product Manager, my customers have primarily been developers, engineers, and scientists. I’ve helped grow businesses and broken new ground. While working in startup mode, I have worn every hat in a product’s lifecycle, and had the chance to go really deep. I have brought 31 products to market, XXXXXX of their kind, and 3 products went the extra mile and went on to change markets. The rest were next-version products, features, or internal.<BR>As a cloud and platform engineer, I brought to market the first serverless product. I helped build Microsoft’s platform cloud service for web, mobile, and API apps. And, I have helped audit and shape various platform’s distributed system architectures. 2 platforms with over a million users, and 3<BR>As an artificial intelligence practitioner, I have implemented AI to products in: CPU design and manufacturing at Intel, real-estate and economics at Zillow, business sales and marketing at Microsoft, and whenever possible within Product design and execution.<BR>I am passionate about product management, cloud platforms, and artificial intelligence. I am curious by nature, love to learn, and work out complex problems. I lead through transparency, empathy, and integrity. I love instill passion, empower people, and have fun while making an impact.<BR>I am open and happy to tell you my story… it’s long... but interesting!<BR>Intros:<BR>Driven many products and features using customer empathy, data analysis, product sense, and creative solutions. Loves getting things done by being resourceful, and has fun by thinking big and breaking it down.<BR> Jaime Espinosa<BR>XXXX@XXXX.XXX<BR> Jaime Espinosa<BR>Seattle, WA 98103<BR> www.linkedin.com/in/jeespinosa<BR>2/3<BR>1/3<BR>

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