2007 Lehigh University , BS , Information Systems Engineering |
First-time entrepreneur
At Nuance, I developed the concept to build an ever-evolving speech recognition engine for the open-ended requests that come into New York City 311 (NYC's general information hotline). We cataloged millions of call transcriptions and logged them into a database to find the most common reasons people call. We were giving callers the ability to answer a "How may we help you?" request. Eventually we'd build automation around the top requests. This solution is being put into place by Nuance at 311.
I want to change the world.
Tesla, Virgin, Google
The most frustrating things about innovation is that nothing ever moves as fast as you'd hope it would. Everything always takes a fair bit longer than you expect it to and that can be really frustrating.
The most rewarding thing is that I see the direct impact of my contributions to our cause on a daily basis. This can be a double-edged sword because I also see a dip when I take some time off, but the rewarding side of it is soo worth it to see that direct impact.
Hiring Mistakes! A company IS its people. If you don't get that right, the company is doomed. I've read so many horror stories about how certain people can be cancerous to an organization's culture and growth. Hire Slow, Fire Fast!
1. Don't be afraid to fail. Mistakes are great lessons.
2. People are much more willing to help than you would think. All you need to do is ask.
3. It's going to take longer than you expect.
I've been a risk taker and a rule breaker my entire life, which is why I feel that I've gravitated to the entrepreneur's lifestyle. Add to that the fact that I ran Track for 10 years which gave me a sense that you only get the results you want based on the amount of work you put in!
I've spent most of my career in the "real world" doing Technical Sales for a speech recognition software and services company called Nuance where I helped large entreprises construct customized solutions.
At Nuance, I developed the concept to build an ever-evolving speech recognition engine for the open-ended requests that come into New York City 311 (NYC's general information hotline). We cataloged millions of call transcriptions and logged them into a database to find the most common reasons people call. We were giving callers the ability to answer a "How may we help you?" request. Eventually we'd build automation around the top requests. This solution is being put into place by Nuance at 311.
However, after a handful of years doing that, I realized that I truly wanted to make a difference in this world and I wasn't going to be able to do that as a part of a large, public company, so I left and started Gigawatt!