Technologies:
- Professional: C#, WCF, Javascript, jQuery, AWS (S3, EC2, SQS), Matlab, C++, see résumé for others
- Hobby: Python, Ruby on Rails, machine learning, data analysis
Email: rj+jobs@rjcantrell.com
About: Consultant for 6 years on highly-scalable enterprise systems, startup developer (including machine-learning-derived financial modeling) for 2 years. Served as what is now called "product manager" for software benefiting most Americans most days of the week. Currently building a reinforcement-learning AI for fun. Open to full-time and part-time roles, local and remote!
Kabbage is a proven, funded working-capital platform serving small and medium businesses with blazing-fast access to cash via a no-human-interaction underwriting engine based on continuous streams of sales/business data from the customer's online marketplaces and other sources. Currently seeking .Net engineers in Atlanta to build the data-acquisition and money-transfer systems, as well as data scientists in SF to sort through the collected data and learn new insights about the SMB market. Great pay and perks, unique culture, and a chance to see the successful-startup sausage being made if you've not yet worked in a smallish tech startup.
Feel free to ask me if you have any questions -- rj (full stop) cantrell (addition symbol) hackernews (monkey tail) gmail (full stop) com. If you send your resume directly, please tell them RJ sent you.
Willing to relocate: Depends on the location. Seattle, Portland, Vegas, and other west coast cities appeal to me. Worried about going broke in San Francisco.
Technologies: C#, ASP .Net, MVC, WebAPI, REST, MVVM, WPF, AWS, F#, Matlab, R, Java, millions of others from consulting years ;)
Resume: available upon request
Email: rj+jobs@rjcantrell.com
Hi! I'm RJ and I feel that whatever's worth doing is worth doing AWESOMELY. For the last 2.5 years, I've been re-training in data science and using those skills (plus those gained in some simple ML research projects from college) to help write a fully-automated money-lending application, as well as the financial model under it (informed by hundreds of data points gathered from dozens of sources), and the distibuted, scalable systems which integrate with third-party APIs to gather that data, and the website that exposes it to the world. I'm pretty awesome, but worked with enough geniuses to stay humble, showing me how much more there is to learn and how much more awesome we can all help each other to become.
I like brains (real and artificial), so my current side projects are to record and analyze brain-wave data from an EEG, and to build a neural-network-based genetic algorithm to power a Street Fighter AI. That last one may be a bit overzealous, but it's where my interest lies.
Other Skills: Machine learning (regression, classification, clustering, neural networks), product design, API design, data acquisition/cleanup/modeling/analysis, team management, pretty good at Street Fighter.
About me: Spent six years at a consulting firm owned by Microsoft, writing logistics and package-tracking software for two of the big three US mail-delivery services. Consulting means variety, and this broad experience plus passion for technology means I am a quick learner and quick to deliver value.
More recently, I worked two years at a burgeoning financial startup on a OAuth/REST API and their custom automated credit-underwriting engine, where I developed machine-learning techniques in addition to traditional expert-derived classification of risk. Not averse to UX/front-end work, but it's not my greatest strength.
[1] I'm currently located in Atlanta, but looking to move. My wife and I are very outdoorsy and are interested in destinations which might provide some city flavor with easy access to rock climbing, mountain biking, trail running, mountaineering, etc. Make me an offer I can't refuse! ; )
Kabbage has successfully created a new market niche in providing short-term cash advances to small businesses via a completely-automated underwriting system. After linking Kabbage to a marketplace account, accounting system, or business checking account, users can have funds in their PayPal account in minutes. Data science and machine learning approaches underlie the underwriting model and provide a fertile bed for deeper understanding of (and potentially further products targeting) the SMB ecosystem.
Kabbage has received a metric ton of good press and awards from TechCrunch et al, the fintech industry, and the founders have been on Bloomberg TV and Fox News several times. Investors and board members include former Yahoo! CEOs, Square co-founders, UPS, and a veritable who's who in the VC community -- http://www.crunchbase.com/organization/kabbage
Badass .NET jockeys sought in Atlanta, and badass data scientists sought in SF. Familiarity with the entire stack not necessary if the ability to learn it quickly is demonstrated.
Stats:
- Stack: ASP.NET MVC / REST WebAPI / EF / SQL Server
- Employees: 80ish
- Office doors: zero
- Responsibility, ambition, development pace, salaries: all high
- Provided hardware: MacBook Pro Retina (or PC equivalent), plus as many Thunderbolt displays as you dare daisy-chain
- Lunch, snacks, drinks, parking: free!
- Kegs: 2
- Patents: 2 (plus four more applications)
- People who've beat Ghosts n' Goblins on the multicade cabinet: ZERO AAARGH
I am an alumni of the company and therefore do not speak in an official capacity, but I'm happy to answer your questions or give feedback on your resume: rj@rjcantrell.com
More position info: https://www.kabbage.com/company/careers (I would rather you send me your resume, but if you contact them directly, tell them RJ sent you)
Remote: Yes, please!
Willing to relocate: Maybe for Silicon Valley or Seattle. Maybe.
Résumé: http://rjcantrell.com/personal/RJ_Cantrell.doc
Technologies: - Professional: C#, WCF, Javascript, jQuery, AWS (S3, EC2, SQS), Matlab, C++, see résumé for others - Hobby: Python, Ruby on Rails, machine learning, data analysis
Email: rj+jobs@rjcantrell.com
About: Consultant for 6 years on highly-scalable enterprise systems, startup developer (including machine-learning-derived financial modeling) for 2 years. Served as what is now called "product manager" for software benefiting most Americans most days of the week. Currently building a reinforcement-learning AI for fun. Open to full-time and part-time roles, local and remote!