Part of the Continuous Integration and Packaging / Platform team.• Responsible for the design, project planning, and early implementation of S3 as a git mirror using git archives and bundles to support Square’s ~6K+ builds a day.• Participated in Square’s GitHub vs GitLab evaluation/POC for their CI capabilities as part of SCM migration off BitBucket.• Tech Stack: Ruby/Rails, AWS, CloudFormation, Looker, SignalFx, BitBucket, CentOS7, Home-grown CI - Kochiku, Artifactory, Gemstash

Sisense empowers developers, data engineers, and business analysts to simplify data and transform it into powerful analytics. • Led the project to migrate from Heroku to Kubernetes with zero downtime. This project laid the groundwork for future growth and optimization. Blog: https://www.periscopedata.com/blog/9-lessons-learned-migrating-from-heroku-to-kubernetes-with-zero-downtime• Drove various CI/CD initiatives to streamline the release process. E.g. We achieved eng-wide productivity gains by unblocking engineer’s machines by running rspecs in parallel remotely for every PR (reducing time taken to merge a PR by ~4x).• Developed a feature to cancel long running queries on demand in a distributed system environment (golang/java services) using redis as a pub/sub system.• Led the project to introduce a highly-available key mgmt store, Vault. This project improved security by allowing easy rotation of encryption keys.• Tech Stack: Ruby on Rails, Golang, Java, AWS, Redshift, Postgres, Redis, HAProxy, CI (Concourse), Infrastructure (Heroku, Kubernetes, Docker), Key Management (Vault), Monitoring (Datadog, Prometheus, New Relic)

Townsquared is an online social network for connecting small businesses.• One of the first lead engineers at TS in SF as we scaled the engineering team to 3 times its size and built a transparent, collaborative, and performant culture in the team. Early work involved transitioning knowledge from a remote team, and building infrastructure/processes/team locally.• Drove the development of a highly performant microservice (Recommender System) that generated millions of recommendations for businesses based on spatial data, business affinity, and other attributes. In its final form, the node js service used MapReduce/Spark to allow parallelism and scalability in design.• Drove various product initiatives: contact uploads (switched to native Google APIs), contact matching, invite system (improved k-factor by 10x), connections system, email generation, auto messaging, sign in/up, A/B testing, data Infrastructure, analytics, and google APIs.• Drove various backend engineering initiatives: service monitoring, logging using Loggly, local and production deployment scripts (automation), delayed jobs (improved performance), publish subscribe system, and config management.• Tech Stack: Ruby on Rails, NodeJS, MySQL, Postgres, MongoDB, Redis, Spark/MapReduce (briefly), RabbitMQ, AWS (EC2, S3, RDS, EMR, CloudWatch), Chef, Ansible, Microservices, 3rd party APIs (Google, Mandrill, CloudSponge, Factual).

Leadership- Hired (15+), trained, managed (3 direct reports, 6+ indirect reports, local and remote), and mentored a team of engineers to create a culture of innovation, collaboration and accountability.- Strategically prioritized development roadmaps for various internal and external releases with a goal to satisfy business needs and identify and mitigate risks for customers. - Progressively streamlined processes for build & release automation, training, escalation, cross-functional team communication and support. - Created rapid application prototypes with focus on feature evaluation, code reuse, and timing.Individual Contributor• Developed the core framework for a multi-tenant SaaS product from concept to production including areas such as authentication, authorization, caching, localization, navigation, services, and tools. Result was a superior product offering for the customers, doubled revenue to $45M+, and a streamlined SDLC. • Led a team of engineers to develop a set of metadata processors that would dynamically generate web, voice, and mobile user interface to perform multi step transactions (90%+ adoption rate). Interface-driven development allowed for overriding behaviors at various levels to perform customization.• Created a hybrid app using PhoneGap to use device features such as the barcode scanner for the first time for inventory mgmt. App is available on Google Play store and Apple App store. • Applied best practice design patterns such as repository, unit of work, dependency injection, and PRG to create a scalable product.• Applied principles of Domain Driven Design (DDD) to model a complex application domain. Designed solutions for a training module, a multi-step approval process, and an ad hoc reporting module.• Tech Stack: C#, ASP.NET 4.5, MVC 5, DI, MEF, WCF, REST, ORMs (EF 6, NHibernate), LINQ, XML, Razor, HTML5, CSS3, JavaScript, JQuery, VXML, TFS, SQL Server, Couchbase, Telerik, Voxeo Prophecy, Android, iOS, Phonegap.

• Led the R&D team to create a multi-layer template-based solution using ASP.NET, from the existing Classic ASP legacy code. Used various design patterns such as Specification, Unit of Work, and Repository.• Led the R&D team to create a new temperature excursion module from start to finish with a highly ambiguous set of requirements. Created a Data warehousing solution to provide reporting across trials.• Designed a new database with improved naming conventions, normalized table design, and optimized indexes (tested over a million records). Used Redgate API to create tools for syncing data across databases.• Designed and developed various clinical trials with quality code (low defect count) in a fast paced environment for randomization, subject enrollment, inventory management, security, reporting, and notifications.• Tech Stack: C#, ASP.NET 4.0, Enterprise Library, NHibernate, LINQ, AOP, XML, HTML, CSS, SQL Server.