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I'm an applied researcher in machine learning and founder of a research institute where I teach related subjects to ML and build heavy ML powered products. chronological: Applied research endeavors have been around natural language processing and reinforcement learning. I have worked as head of machine learning at several startups with consumer facing products. Background in computer science with concentration in web and networking. Previously, I have built a online school and streaming service such as DraperTV, I have contributed to a dozen of python packages and ruby gems. I like working with teams that have diverse set of skills. Harder challenges are usually starting point for learning something new, which gets me excited about all sorts of topics to build or teach on.

SalesforceAWS (Amazon Web Services)Security softwareDevOpsRelational DatabasePythonNLP (Natural Language Processing)Computer VisionWeb DevelopmentJavaScriptMachine LearningNoSQLRuby on RailsRuby

I've been working with Ruby on Rails since 2007, and haven't looked back. Everything from simple apps, to large scale apps with mobile counterparts, I've had my hands in nearly every stage and level of the development stack. My experience ranges from back-end development to nearly all client-side development using both React.js and Vue.js.  I have several years of experience in design and UX both for web, mobile, and tablet applications. I currently work as a software engineer for Doximity, and a panelist for the Ruby Rogues podcast.  Feel free to explore some open source work I am involved with. I created and maintain the open-source project GitReflow which won the 2015 Fukuoka Ruby Award judged by Ruby's creator Matz.

SalesforceRubyJavaScriptTest driven developmentGitRuby on RailsHTML/CSS

I've been working as a software engineer for 8+ years, mainly focused on web application development and some systems development, in NYC and Boston. Have had full-time roles at 4 startups and 1 corporation. I come from a strong computer science background, having graduated from Carnegie Mellon University. My experience lies both in computer science fundamentals and shipping projects end-to-end as a full stack generalist - frontend, backend, data, and SRE. Having worked at startups, I've learned to be versatile, doing some minor product and project management as well. In addition, I've launched 3 full stack side projects. With 4 years of experience mentoring other engineers, I've conducted 50+ technical interviews and have been interviewed 20+ times. I enjoy helping others - it's fulfilling to help others level up while also helping my own continuous learning! Some potential areas I can help with: - brushing up on computer science fundamentals - preparing for software engineering interviews (data structures and algorithms coding problems, system design, behavioral) - pair programming on a project, recommending best practices for frontend, backend, data, and SRE - code review - debugging - testing - resume review - career strategy consultation

SalesforcePython 3Go (Golang)DockerRubyStartup EngineeringJavaScriptReact NativeNode.jsJavaHTML/CSSApache KafkaSQLReactInterview PreparationRuby on Rails