Aleksandr Iavorskii

Implement ML/AI models for time series classification and anomaly detection, data pipelines, services for labeling, data processing, and prediction

Python/Javascript full-stack developer. - Designing and implementation of end-to-end synchronization pipelines; - RESTful API; - RPC services integrations; - Interviewing candidates; - Mentoring newcomers. Google Cloud Platform: App Engine, BigQuery, Container Engine, Data Store, Cloud SQL (MySQL), Pub/Sub, Memcache.

Work for Credit Suisse (DAST - Data Architecture and Software Technologies, SAMI) as Software Engineer. Python, Javascript, Scala developer. Data science and data engineering, web development. - Developed multitenant browser based IDE for data scientists on top of opensource platform Jupyter/JupyterHub, integration with Cloudera distribution, CVS, notifications - ML project, classification, anomaly detection - ETL with Cloudera warehouse - Demonstrate results of projects during global team meetings

- Development of a platform for authors, article/journal ordering and submission: https://authorservices.wiley.com/ - Implementation of administration tools for the Wiley Publishing Platform. Javascript: ReactJs, Backbone, Flux, React-routes, Webpack, Nodejs, Express, Babel + ES6/ES7, Bluebird, FetchApi, es6-promises, unittesting with karma+chai+mocha+sinon+enzyme, underscore/lodash, jquery, CSS, Sass Java: Selenium, Spring. Jenkins: CI and CD Jira: kanban. junit+cobertura reports CVS: git, git-flow

- Distributed system development with Python Twisted framework, Jinja2 template engine, SqlAlchemy ORM, PostgreSQL, SOAP/REST/RPC/LDAP (Google Protocol Buffers) web services. Mercurial CVS, Redmine task tracking. Web interfaces with Javascript and ExtJs. Qt, C++ with binding to Python by means of Cython. - Synchronization and conjunction with other systems by means of RPC/SOAP/LDAP/REST services. - Presentations and preparation of documentation

I implemented calculations of coordinates' transformations for the optoelectronic system. Graphic user interface development, implementation of mathematical models (C++).

Mathematical modeling of an interferometer system, modeling of an optical system which is located on satellite, implementation of models in software with Numpy, Scipy and other Python packages, PyQt and Django applications for demonstration purposes

Mathematical modeling of optical systems, quantum optics and electronics, implementation of mathematical models in software, visualization of computational results, high precision calculations, moving media electrodynamics