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
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.
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
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
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
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!
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.
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.
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.
Web Developer + Machine Learner (1+ years Rails, 1+ years Machine Learning) freelancing while I build my own company.
If you need work done on a Rails app (from MVPs to legacy apps), you need to build a predictive algorithm or you need to crawl/scrape data, contact me.
Web Developer (Rails) freelancing while I build my startup. In a past life I spent three years as a Data Analyst at PricewaterhouseCoopers. I also play around with Machine Learning in my spare time.
I'm open to contract work at a big company, but I particularly enjoy helping startups and founders get their products off the ground. I'm currently working on that problem myself, so I'd like to think I know the pain points and best practices.
Software Developer specializing in Web and Data Engineering, freelancing while I build my startup. I spent three years as a Data Analyst, then quit and taught myself to code. I've only been freelancing for six months, so I'm willing to work at a discount while I build up my portfolio. I'm also open to bartering.
Production experience: Everything associated with large Rails projects, web crawling, data pipelines, APIs, data analysis, product management
Side projects: I've built some apps in Node (Express, Meteor), and I compete in Kaggle Data Science competitions when I have time (http://www.kaggle.com/users/30845/dpmehta02). I am particularly interested in NLP.
This article would have been much more persuasive had it specified the actual decisions made by Google that illustrate exactly how that company has "lost its way" (i.e., chosen profit over solving important problems).
All of these terms are used interchangeably, so the following definitions probably wont be too helpful in the real world, but in my experience:
Artificial Intelligence is an umbrella academic term which encapsulates the study and design of intelligent machines. It's not well defined because AI is evolving so rapidly.
Machine Learning is a branch of AI that is concerned specifically with learning from data; the results of learning are usually used to predict future events. (Think linear regressions, random forests, etc.)
Though not specifically a part of AI, Statistics is the field that formed many of the algorithms used in ML. Stats informs ML research design (e.g., how large of a sample size do I need), generates mathematical solutions from proofs and equations, etc. With the rise of big data, it's slowly merging with ML.
Data Mining is a mix of ML, Stats and Data Engineering. It's more concerned with structuring and extracting patterns from data than necessarily learning from it. It is often a task within an ML project.
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