Anton Chebotaev

- Technical leadership for 5 people team
- Built the foundation and architecture for a platform to design and deliver mobile apps features to customers without the AppStore/Google Market submissions
- Migrated various components from datacenter-based Spring-based monolith to AWS cloud microservices in Scala and Clojure with peak 1700 rps
- Developed an async web framework for Clojure which supported circuit-breakers, metrics, request correlation and tracing
- Delivered platform to ship dynamic layouts to the mobile app, which allowed to change app’s main native screen in runtime, aggregating content from various teams

Technologies: Scala, Play, Clojure, Hystrix, Swagger, AWS, Docker, Kubernetes

Trucker Path: apps for road assistance and participating in American trucking community
Truckloads: b2b marketplace for truckers & shippers in form of mobile applications and the website
Learn more on https://truckerpath.com

Company raised $20m in 2015

— Participated in Truckloads backend development
— Developed wrappers & smart caching layer for external services
— Developed backend for TruckSearch part of Truckloads
— Built infrastructure (devops) from scratch to let each developer and QA have personal production-like environment
— Created opensource clojure client for DataDog monitoring solution
— Created opensource ansible role for launching jvm-based services

Technology stack: clojure, lein, nodejs, express.js, PosgresDB, Redis, Amazon WS (EC2, S3, Route52, IAM), Ansible, Vagrant, CircleCI

IO: text-based conversational interface (ios messaging app) for personal restaurant recommendations.
(later pivoted to personal AI companion app https://replika.ai/)

— Managed and led backend team
— Task planning and weekly reports
— Designed and implemented project architecture
— Developed all backend components (including rule-based dialogue engine and recommendation engine based on my master’s diploma, asynchronous APIs for NLP engine and iOS app)
— Established and maintained server infrastructure (devops)
— Created backoffice tools for content and user management (web interfaces for rule engine and venues content management)

Technology stack: scala, sbt, akka, spray.io, MongoDB, titan, json, socket.io, RabbitMQ, ReactiveMongo, Salat, Chef, Vagrant, Teamcity, React.js, Amazon WS (EC2, S3, Route53, IAM)

Responsibilities: develop and support backoffice software

Project: Master File Tool
Project purpose: Help video engineers to prepare sources from film studios for the transcoding farm
Technologies: C#, WPF
Team: Solo

Project: Transcoding farm
Project purpose: Transcode sources from content providers for streaming for various platforms
Technologies: Python, Nginx, Tornado, Supervisor, MogoDB, FFMpeg, MS Expression Studio
Team: 2 persons

Project: Statistics & Reports
Project purpose: Collect and display statistical and financial reports
Technologies: Python, Nginx, Django, Tornado, Supervisor, SQL, Twiter Bootstrap
Team: Solo

Responsibilities: prototyping, developing, bug-fixing
Project: Report Generator for YotaPlay's licensor and partner
Technologies: Java, PostrgeSQL, Spring Templates, Apache POI, Vaadin (GWT based framework), Tomcat, Maven, Git
Team: 3 members

Responsibilities: bug fixing, implementing new functionality, code review.
Project: Yota Business Information Services (SOA Solution for Telecom)
Technologies: EJB, JDBC, Hibernate, Web Services, SOAP, JUnit, Jetty, Maven2, Glassfish, Spring, SoapUI Pro, WireShark, Putty, Far, TOAD, Perforce, SVN, Hudson
Development process: Scrum

Responsibilities: bug fixing, implementing new functionality, code review, writing and maintaining build scripts.
Project: Yota Access (Connection Manager fo WiMAX devices)
Technologies: C++, Python, Qt, WinAPI, GDI+, Django, MS VisualStudio, WireShark, Putty, Far, JIRA, Perforce, SVN, Hudson
Development process: Scrum