[noodlenotes]

What was the technical work you did? Was most of your time spent on market research, coding, blockchain, or designing/implementing algorithms?

I would pick one or more job titles that are both relevant to the job you're applying for and to the work you did and put those on your resume, e.g.

Crypto trader/blockchain developer/investment analyst (self-employed)

- Developed trading platform with X latency

- Implemented blah blah algorithm

- (Throw in more metrics about how you were able to beat competition)

The proof is the skills you built along the way, the same as any job you put on your resume. In data science, at least, we're rarely asked for references. Don't think of yourself as unemployed during that time, and especially don't call yourself unemployed.

[MichaelBaer]

Thanks a lot, that helps. To be honst made a lot of stuff.

- real time trading system on orderbook level

- market research and visualisation

- timeseries modelling with different algorithms

- research different approaches, like reinforcement learning for trading

- database design and optimization. Currently the database has 42 billion entries

- web3 coding with solidity

- software architecture

- logging, don't lough. Huge part. Very hard to implement.

How did I beat the competition:

- was quicker than any one else.

- Also guess had more clever strategies, but it is hard to get into the details.

[noodlenotes]

A lot of that is relevant to machine learning engineer jobs, especially time series modeling, reinforcement leaning, databases, and real time systems, so highlight those areas if you apply to ML eng jobs.

The more detailed you can be, the more "real" your job experience will look. For example, list the time series algorithms you used and quantity how they helped (error metrics, % return, comparison to a naive forecast, etc). I already mentioned latency. Optimizing your code and data for speed is something interesting you could get into too.