Hi, I’m a web/mobile developer and developed my first program 22 years ago when I was 10 :). Also, I’m a tech leader of outsourcing software company. With my team, I have developed more than 100 projects over the last 5 years.
I’m good at formalizing business requirements into working solutions with clean commented code covered with tests. I have strong fundamental skills in the computer science field, country-level programming contests won and tons of real-life development experience.
I aim to create products for people, and I do care about real use cases and UI. For example, I have developed “German Tinder,” educational social network for the University of North Carolina, an E-commerce platform for Canadian medicine provider and many other projects that are used by thousands of people.
My expertise lies in both MEAN and LAMP stack development. I love API-first paradigm with React.js/Angular.js/Redux on the frontend, PHP/NodeJS for the backend for complex interface rich apps. Also, I’m ok creating classy PHP/SQL web apps that output HTML right from the backend.
My focus for business development is to find the best tool for the job, either an existing service or one I build myself. The tool can be a small plain PHP script or large modular MVC app based on Laravel/Symfony. Whatever gets the job done!
Today I’m willing to take a new feature-rich and exciting project. Besides me, I have more than 50 employees on my team, including PM’s to handle the development process smoothly. Especially I would love to work with BigData or projects requiring hard skills in math or biology. For example, I’ve developed a math engine for casino slot machines, a social network for animal breeders where genetics knowledge was in use or did a cryptocurrency stock exchange simulation app.
So, how about a chat about your next project? ;-)
Alek did a very good Job in our project. His English is very well, he was able to deliver complex tasks in a short time frame
we are very happy with the work with him and for sure will continue hiring him.
Chernivci National 'Juriy Fedkovyc' University, Ukraine 2010 - 2015
Introduction to Data Science
University of Washington
This course covered a broad set of topics critical to practical data science:
- relational databases,
- statistical modeling,
- basic machine learning,
- and visualization,
- and a variety of algorithmic topics.
This course covered the theory and practice of cryptographic systems.
Topics included symmetric encryption, data integrity, public-key encryption, and key exchange.
The course emphasized the correct use of these primitive.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
- Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
- Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
- Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
Contact Oleksandr A. about your job
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US English 3 97% Preferred Freelancer Program SLA 1 97% Python 3 95% PHP 3 90% HTML 3 90%