I'd been doing Android apps for 5 years, but, then, got interested in Data Analysis. I've done a really nice personal parser from 70 sources with precise classifiers and RSS-export of only relevant data. Later, in May 2018 I started prototyping a solution for Singaporean logistics problem. Please, have a look at it in "Experience" section. The solver worked well, but, though, since it's a combinatorics task, it was quite slow and it could take it a day to prepare the schedule (it was ok for the company). I optimized the algos and rewrote some code in Cython so, they could get an express-solution within 3-5 minutes but it was less optimal.
Thus, I decided to remember some C++ to attack combinatorics problems! Now, after spending ~6 months on my C++ studies and demonstrating, that I'm having enough experience to build something middle-sized from scratch (https://youtu.be/cfY2wrKqNZE) I'm ready to get back to Python, with ability to write native code for it as well!
pandas, sklearn, matplotlib
Python Developer, Haulio. Singapore, Remote
(May 2018 – Aug. 2018)
Understanding business requirements and prototyping of logistic algorithms. Delivered
several sorts of greedy algorithms, stochastic searches (pure stochastic, genetic,
simulated annealing), debugging/visualization tools. The final command-line tool takes an
excel file as an input file, that contains all the info about the schedule of trucks, trailers,
containers, clients, and drivers; and allows to generate an output excel file with the exact
timeline for all of them. The utility is adjustable, so the client is able to choose various
types of parameters: Google Maps API distance/time estimators, the algorithms I
mentioned above and the meta parameters for each of the algorithms. To avoid guessing
the parameters, the brute-forcer was also implemented. Everything is shipped with
complete documentation: both for a final user and the next developer.
Python Developer, Personal Project
(Jan. 2018 – May 2018 )
I also have some experience with C++ (6 months)
C++ developer, Personal project (02.2019 – 04.2019)
The game was done in OpenGL 4.0 by me from complete scratch within 2 months as a part of gaining my C++ skills. I had to do everything from scratch (that was a requirements for this assessment). Things are implemented here:
Libraries and tools used:
Last, but not least, I also had been developing Android apps for 5 years, before switched to Python and C++ for higher performance. I'm not sure I should describe it here (since it's Python-related site), but you can always check my CV! :)
Keras, NumPy, Pandas, SciPy, TensorFlow