SEEKING WORK | Back-end Engineer | SF Bay Area or Remote

Experience: 5+ years working with startups as a Senior Backend Engineer (OpenGov) and as a freelancer (building APIs, data pipelines, full-stack MVPs and Machine Learning systems).

Languages: Ruby/Rails, Python

Skills: APIs, data modeling, data pipelines, Natural Language Processing, OOP

Linkedin: https://www.linkedin.com/in/devmehta

Github: https://github.com/dpmehta02

Here's a short essay I recently wrote about eating healthy: http://dpmehta.com/posts/eating-trick.html

Contact: dpmehta02[at]gmail[dot]com

Thanks for the feedback. I thought it would be easier for users to simply slide a scale rather than manually input numbers (which I feel is error prone and more work), especially on a mobile device.

In the next iteration I'm considering allowing users to use either option, sliding scale or direct input.

Thanks for the feedback warrenm. Heuristics can be useful, but I built this calculator to help freelancers account for opportunity costs and unexpected expenses in their rates. For example, someone who makes a $100,000 salary would charge 100,000/2080 = $48/hour by the measure you described. However, I don't believe that rate accounts for PTO, National Holidays, Health Insurance, Business Development time, self-employment taxes and many other things. A more realistic equivalency in my experience (and according to the calculator) would be $100-$125/hour.

Hope that's helpful.

In my experience, people tend to greatly underestimate how much it will cost them to pay both the employer and the employee part of insurance, as well as other expenses typically paid by an employer.

The rule of thumb I arrived at years ago was to start by dividing the annual rate by a factor of two, to account for the additional tax burden. Then to divide by an additional factor of two to account for the additional insurance burden.

Then you start factoring in your other costs.

Years ago, I was contracting with Apple Retail Software Engineering in Cupertino, and making $95/hr. I calculated that they would have to give me a $250,000 annual salary to be able to take home the same amount of money on a monthly basis, and virtually no one at Apple makes that kind of money unless they're an SVP.

So, I was actually quite happy when the contract ended and I got to go home to Austin.

Yeah - I saw all the other components added: but they're pretty subjective between people

Work hours in a year vs salary gets you to a very close approximation in seconds.

SEEKING WORK | Back-end Engineer | SF Bay Area or Remote

Experience: 5+ years working with startups as a Senior Platform Engineer (OpenGov) and as a freelancer (building APIs, data pipelines, full-stack MVPs and Machine Learning systems).

Skills: APIs, data modeling, data pipelines, Natural Language Processing, OOP

Languages: Ruby/Rails, Python

Linkedin: https://www.linkedin.com/in/devmehta

Github: https://github.com/dpmehta02

Here's a short essay I recently wrote about eating healthy: http://dpmehta.com/eating-trick.html

Contact: dpmehta02[at]gmail[dot]com

SEEKING WORK | Back-end Engineer | San Francisco Bay Area or Remote

Experience: 5+ years working with startups as a Senior Platform Engineer (OpenGov) and as a freelancer (building APIs, data pipelines, full-stack MVPs and Machine Learning systems).

Skills: APIs, data modeling, data pipelines, Natural Language Processing, OOP

Languages: Ruby/Rails, Python

Linkedin: https://www.linkedin.com/in/devmehta

Github: https://github.com/dpmehta02

Here's a short essay I recently wrote about eating healthy: http://dpmehta.com/eating-trick.html

Contact: dpmehta02[at]gmail[dot]com

SEEKING WORK | Back-end Engineer | San Francisco Bay Area or Remote

Experience: 5+ years working with startups as a Senior Platform Engineer (OpenGov) and as a freelancer (building APIs, data pipelines, full-stack MVPs and Machine Learning systems).

Skills: APIs, data modeling, data pipelines, Natural Language Processing, OOP

Languages: Ruby/Rails, Python

Linkedin: https://www.linkedin.com/in/devmehta Github: https://github.com/dpmehta02

Here's a short essay I recently wrote about eating healthy: http://dpmehta.com/eating-trick.html

Contact: dpmehta02[at]gmail[dot]com

Great story.

My first MOOC was also David Malan's CS50x on edX; what an incredible teacher! He brings such a unique enthusiasm and joy to the study of Computer Science. In case you're reading this, thank you Professor Malan!

SEEKING WORK - San Francisco/Remote

Back-end focused, full-stack capable. 2+ years of experience, mostly at startups in San Francisco (including YC companies). I particularly enjoy building APIs, data pipelines and Machine Learning systems, mostly in Python.

Skills: APIs, Python, Flask, MySQL, Postgres, MongoDB, Redis, Ruby/Rails, *nix, Git, Heroku, AWS, Machine Learning, NLP, Analytics, Angular, Google Maps, SOA

Linkedin: https://www.linkedin.com/in/devmehta Github: https://github.com/dpmehta02

Contact: dpmehta02[at]gmail[dot]com

SEEKING WORK - San Francisco - Remote or local (Travel possible) - Web Dev/Machine Learning

Hello fellow HNer.

I have two years of production experience building Web Apps and Machine Learning systems. I also spent three years as a Data Analyst. My goal is to solve problems and create value for my clients.

Skills: Python/Flask, Ruby/Rails, Heroku/AWS, MySQL/Postgres/MongoDB/Redis, NLP, Scikit/Numpy, APIs, Financial modeling, Project Management, the usual suspects (HTML/CSS/jQuery, Git, *nix, bash, etc.)

Most of my code is hidden in client repos, so I built a simple demo API: Code: https://github.com/dpmehta02/demo_flask_api API: https://demo-flask-api.herokuapp.com/v1/users

Website: http://dpmehta02.github.io/

Contact: dpmehta02[at]gmail[dot]com

Location: San Francisco

Remote: Open

Willing to relocate: For the right job

Technologies: Ruby/Rails (full stack), Python/Machine Learning (Scikit-learn, Numpy)

Resume: https://www.linkedin.com/in/devmehta (email for more details)

Email: dpmehta02[at]gmail[dot]com

I've been freelancing for the past year, but now I'm looking for a full-time role. I spent the past few months building a Machine Learning user classification system for a startup.