Recruited to leverage AI in prior authorizations, addressing critical challenges in development velocity, code quality, and product scalability. Brought in for proven expertise in resolving these complex issues.# Key Achievements:## Architectural Transformation & Innovation- Led migration to an asynchronous, event-based system, enhancing global team collaboration and dramatically reducing time required to integrate systems and coordinate releases.- Implemented standards and tools (FHIR, OpenAPI, protobufs), setting the stage for rapid client onboarding.- Established CI/CD pipelines and GitOps practices, accelerating deployment cycles from multiple weeks to multiple times per day.## Product Development Leadership- Revitalized a year-long stalled project in just 11 weeks, meeting an aggressive deadline while establishing new company standards. Resulted in 1000% faster processing times and a rapidly and continuously increasing accuracy rate.- Revolutionized data pipeline practices: - Engineered DAG-based pipelines enhancing data provenance and traceability. - Developed modular, testable transformations using Dagster, Python, SQLite, GPT4, and graph algorithms.- Architected a scalable, multi-tenant prior auth service using Elixir, RabbitMQ, Postgres, Kubernetes, and Azure Cloud, capable of dynamically scaling to the saturation point of our Azure hosted LLM.## Strategic Leadership and Client Success- Crafted and executed a strategic hiring plan, optimizing team composition and capabilities.- Established cross-functional product-oriented team to accelerate communication and delivery- Provided critical on-site client support within first month, resolving complex integration issues outside immediate expertise. Resulted in getting the client back online, saving the business relationship with our only client.- Consistently bridged technical and business needs, translating complex architectures into tangible client benefits and operational efficiencies.

My organization through which I do my consulting work.

I came in to pivot Belay from a B2C social investing app (think Instagram for stocks) to a B2B2C strategy where we market and sell insurance on stocks using a proprietray hedging algorithm.I leaned out and rebuilt my tech team for its new purpose while working with the CEO to research several partnership and hedging strategies to enable the financial product to exist. Those data-streaming financial algorithms are housed in a multi-tenant, distributed architecture and delivered through a high security, low latency realtime API for brokerage partners. To onboard partners with limited technical bandwidth, the team developed a white-labeled site optimized for rapid deployment and integration into existing infrastructure without sacrificing our considerable security and compliance requirements. Completed in just 6 weeks, we were able to execute a partnership on the brink of collapse due to their resource constraints.In another 8 weeks, we built a fully custom experience to help validate market fit with end users directly. I worked extensively with the CEO and COO to develop a marketing strategy that leveraged our existing network to drive traffic to the new product, further integrating tracking and discount codes to provide the fine-grained control necessary to measure the effectiveness of our marketing efforts.Developmentally, my very small team was able to meet the business' needs by employing the following principles:1. Deeply understanding the business and its goals, and truly collaborating with the business to ensure we're building the right thing3. Doing the risky work first4. Ensuring our development methods always adhered to the tenants of the Agile Manifesto. No dogma. No excess.5. Building a culture that supports and demands continuous improvement and learning6. Automating everything that can be automated7. Leaning in to hard things until they became easy8. Building an observability system that allowed our small team to track down issues rapidly

In the last few years, I’ve: Helped a startup remotely manage fleets of solar inverters using an insecure binary protocol from the 70s, piggybacked on an encrypted, private cellular network. I architected, built, secured, and scaled it. (ConnectDER)Constructed an ML data processing pipeline adhering to complicated business & regulatory rules. Lead and trained the organization on Kubernetes. Our project was the largest and first to land in production, and used to extoll the power of what a truly agile approach could bring to their large enterprise. Prepared a presentation on how to increase efficiency and speed of delivery for the rest of their international company of over 55k. (IQVIA)Contracted to lead a combined team to rearchitect an in-house software platform that powered virtually all of the business, while simultaneously adding new features. An upgrade the engine while in flight scenario. That completed, I applied my entrepreneurial background to help them work on product vision for the next 6mo to a year to adjust to the COVID crisis. (Non profit)Lead the Operations team to securely deploy the DoD's JEDI project to the Azure cloud. I inherited a manual, flaky process and automated it while managing ever-growing security requirements, and a nebulously defined deployment environment. Deployment went from a full day to less than 2 hours, and runnable by a new team with 1 week experience. All in about 3 months.The languages were different (Ruby, Python, Javascript, Elixir). The platforms were different (Google Cloud, AWS, Azure, on prem Kubernetes). The industries were different (Power, Pharma, Gov’t). The companies were different (a startup, a 55k multi-national enterprise, a large non profit, the US gov't). The sizes of the teams were different (solo, 10, 20, and more). The results were the same.All projects shipped on time. Where permitted, each company brought me back for future work, asked me to join full time, or both.

When I joined SnipSnap, they had already done an effective job of garnering users for their app. Coupon-loving users, however, are not the best candidate for revenue generation. So my mission was to help take the company in a new direction. I was to create a tool that would allow non-technical retailers to:• create coupons for:• SnipSnap• GoogleWallet• Apple Passbook• The Web• promote their coupons• via visually customizable email and website embed codes• on ad networks, by dynamically creating banner images for each coupon• distribute them via custom, responsive landing pages that had to be optimized for both desktop and mobile delivery• gather detailed, accurate reporting on the performance of those couponsOur first campaign went live just 5 weeks after my start date.

Chaikin Analytics' core IP has to do with providing stock analysis with nearly 5000 stocks on the primary American exchanges. That IP is delivered via apps for iPhone, iPad, and Android platforms. Additionally, a subscription newsletter is offered. Every component of the architecture had been outsourced. I have been brought in to provide a new web presence, as well as manage the consolidation and repair of the existing systems and infrastructure.Technologies:Web: Ruby on Rails 3, AngularJSData: MySQL, Solr, PostgresInfrastructure: Chef, Amazon EC2, RDS, HAProxy, Linux, Git, Windows, TomcatBackend: .net, java, ruby

PackLate.com provides instantly confirmed reservations on more than 25,000 vacation rental properties in over 30 countries around the world (numbers as of June 2012). PackLate contracts with property managers globally, builds out technology infrastructure, and works with global travel wholesalers, airlines, and online travel agencies (OTA's) to empower our demand partners to deliver real time vacation rental bookings to their customers.Since joining PackLate.com, I've overseen a 250% growth in our inventory, managing the added infrastructure burden while also continuing to adapt the system to the unique constraints of new property managers. My team created OnlineFrontDesk.com, an initiative that dramatically reduced our customer service burden for our guests. While keeping the business growing, we've still managed to modernize (Rails 2 -> 3, Ruby 1.8.7 -> 1.9.3) and upgrade the technology platform to more modern, scalable.Technology Stack Highlights:Ruby 1.9.3, Ruby on Rails 3, 3.2, EngineYard, Heroku, Chef, RDS, MySQL, MongoDB, Redis, Resque, DelayedJob, Solr, S3, Jenkins CI, RSpec, VCR

Self-employed consulting in ruby and .net

WishGenies is a social gift recommendation Facebook application. We find users with similar interests, and create ad hoc communities of interest, for the purpose of helping someone come up with great gift idea.I am the sole owner, so I have been in charge of both development and marketing for the venture. Uses rails 3.1, mongodb, heroku, compass/sass, twitter bootstrap, facebook graph api, delayed job, map_reduce, among other technologies

I was brought in to completely rearchitect yellowbook.com. I was given a brand new team, and just 1.5 months to release. I tackled the problem by:- Establishing a culture of learning within the team. I created relevant learning assignments for each developer, who was then responsible for teaching the rest of the team.- Employing Agile methodologies to accurately estimate tasks, and pair programming to ensure code quality, and improve ramp up times- Mandating that all code be checked in with full test coverage.- Creating a custom MVC platform on top of ASP.net (MS MVC had not been released)- Implementing an AOP platform to orthogonally handle the prodigious and dynamic logging requirementsNot only did we meet our time frame, we were able to subsequently turn off half of our production hardware and maintain the same level of performance. Shortly thereafter, I wanted to highlight the growing importance of mobile to the company, and so the team created a mobile web version of Yellowbook.com in just one month (in addition to our other deliverables). This led to being given responsibility to create and maintain iOS and Android apps as well.Still with capacity to spare, we took over the search api, and promptly increased its speed, updated its structure for clarity, improved documentation and customer support, and expanded the metrics it tracked.Later, I felt that the company was missing the growing importance of social, and so we baked Facebook integration in to our ratings and reviews initiative. Today, I’m told that Facebook refers more traffic to Yellowbook than even Google.During my tenure, we never received additional headcount, other than a few remote mobile specialists. We achieved ever higher productivity by writing cleaner code, and employing ever more sophisticated build and testing automation.

.net, vb.net, c#, sql server 2000, xml, xsl, webservices, html, css