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Stepan Anokhin, Software Developer in Novosibirsk, Russia
Stepan Anokhin

Software Developer in Novosibirsk, Russia

Member since October 23, 2018
With a solid mathematical knowledge base and a professional software developer background, Stepan has the experience and skills to fulfill most software engineering role. During his professional career, he's worked on various projects including large enterprise systems, web development, and cloud computing. Stepan is always eager to explore new areas in computer science and apply bleeding-edge technologies.
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Portfolio

Experience

Location

Novosibirsk, Russia

Availability

Part-time

Preferred Environment

PyCharm, IDEA IDE, Git, Ubuntu, Docker, WebStorm

The most amazing...

...software I've built was an experimental heterogeneous cloud orchestration tool.

Employment

  • Full-stack Developer

    2020 - 2022
    Beneficent Technology Inc DBA Benetech (via Toptal)
    • Developed an app that applies machine learning and metadata analysis techniques to sort, identify, and analyze large collections of video files.
    • Created and maintained the front end from scratch using TypeScript, React, React Query, and Material-UI.
    • Built and maintained multiple back-end services to support core features of the application, including Flask-based REST API, Celery-based background jobs queue, and gRPC service for on-the-fly machine learning processing.
    • Constructed unit and integration tests for the front end and back end. Set up and maintained CI/CD pipelines using GitHub Actions.
    • Participated in research tasks. Proposed and implemented new features, including interactive visualization of a high-level structure of large collections of videos (millions of items) using LeafletJS and various dimensionality reduction algorithms.
    Technologies: JavaScript, Python, TypeScript, React, React Query, Redux, Redux-Saga, Celery, Protobuf, gRPC, Flask, Socket.IO, Cypress.io, Continuous Integration (CI), API Integration, Integration Testing, REST, PostgreSQL, Scikit-learn, Pandas, Machine Learning, Luigi, Back-end, Git, CSS, Front-end, Containers, WebStorm, SQL, PyCharm, Docker, Docker Compose, Containerization, Shell Scripting, Bash, Linux, REST APIs, GitHub, Object-oriented Programming (OOP), Unit Testing, Ubuntu, LeafletJS, Redis, GIS, Amazon S3 (AWS S3), Python 3, Open Source, CI/CD Pipelines

  • Full-stack Developer

    2019 - 2020
    Tsundoku Partners (via Toptal)
    • Developed a web application for stock market analyses.
    • Created the web front-end using React and Bootstrap.
    • Constructed a microservice ecosystem using Python and Ruby for scraping and digesting data.
    Technologies: Docker Compose, Docker, AWS Lambda, PostgreSQL, Elasticsearch, Ruby on Rails (RoR), Flask, React, Linux, REST APIs, GitHub, Amazon Web Services (AWS), Amazon EC2 (Amazon Elastic Compute Cloud), NoSQL, Object-oriented Programming (OOP), Unit Testing, Containerization, Containers, Git, Ruby, Back-end, Front-end, CSS, AWS, Ubuntu, REST, PyCharm, Python 3

  • Software Engineer

    2015 - 2019
    Xored Software, Inc.
    • Developed the core features for complex enterprise systems using Java, Spring, and JavaScript.
    • Built a heterogeneous cloud orchestration tool for multiple cloud providers.
    • Constructed the core features for complex Eclipse RCP-based testing tool.
    • Integrated a test-execution engine into a microservice ecosystem using Spring, Kafka, and Protobuf.
    • Created various web applications using Spring and React/Redux.
    • Participated in an R&D open source project using Go, Docker, and Kubernetes.
    Technologies: Amazon Web Services (AWS), Jenkins, OpenStack, AWS, gRPC, Vagrant, Kubernetes, Docker, Apache Kafka, Protobuf, Redux, React, Eclipse RCP, Spring, Bash, Ruby, Go, JavaScript, Python, Java, JUnit, Spring Security, Linux, REST APIs, C, RSpec, GitHub, Distributed Systems, Microservices, Amazon EC2 (Amazon Elastic Compute Cloud), Object-oriented Programming (OOP), Unit Testing, Shell Scripting, Containerization, Containers, JPA, HTML, Java 8, Git, Spring Boot, Back-end, Front-end, C++, CSS, Hibernate, Ubuntu, REST, Spring Data, Aspect-oriented Programming, IDEA IDE, Python 3, Open Source, CI/CD Pipelines

Experience

  • Cisco Prime Infrastructure Operations Center
    https://www.cisco.com/c/en/us/products/cloud-systems-management/prime-infrastructure/index.html

    Cisco Prime Infrastructure provides a single integrated solution for the complete lifecycle management of Cisco routers, switches, and wireless devices.

    With Cisco PI, IT organizations can easily consolidate management tools and converge workflows. It can manage global enterprise networks with thousands of network devices and hundreds of thousands of access devices.

  • Cisco Topology View

    Topology View is a network visualization and management framework part of the Cisco Prime Infrastructure. The framework aims to provide an interactive and convenient visualization of networks consisting of thousands of devices.

  • Heterogeneous Cloud Orchestration

    This is a component of Spirent iTest, an API layer to uniformly interact with different IaaS providers (OpenStack, AWS, Azure, vCenter, and more) and create integration tests based on a unified model.

  • Spirent iTest
    https://www.spirent.com/products/itest

    iTest is an integrated test-authoring-and-execution solution built for testers, developers, and automation teams. It provides QA organizations with a unified approach for rapidly developing, automating, and maintaining test cases.

  • Network Service Mesh
    https://networkservicemesh.io/

    A Network Service Mesh is an extension of the service mesh concept common in applications to network services. It is part of an attempt to reimagine NFV in a cloud-native way. Network Service Mesh is the hybrid/multi-cloud IP service mesh enabling:
    • L3 zero trust
    • Per workload granularity
    • Per network service connectivity/security/observability
    • No changes to Kubernetes
    • Works with your existing CNI
    • No changes to your workloads

  • Benetech JusticeAI

    JusticeAI is an open source platform and suite of tools that strategically apply machine learning, computer vision, and metadata analysis to sort, identify, and analyze digital media. The software processes digital media libraries, creating an index of unique “fingerprints” (a signature of 300-500 characters) that represent the content of each piece of media but cannot be reverse-engineered to reproduce the original file. These fingerprints can then be used to perform a number of functions, including video deduplication, detecting similar or related videos, basic object recognition, searching for similar frames, semantic searching by natural-language description, etc. The platform provides user-friendly visualizations so users can interact with and understand the results of the media processing.

Skills

  • Languages

    Java, Python, Ruby, JavaScript, Python 3, HTML, CSS, C++, Go, Bash, C, TypeScript, SQL, Clojure, AspectJ, GraphQL, Java 8

  • Frameworks

    Spring MVC, Spring Boot, Spring Security, JUnit, Hibernate, Spring, JPA, Redux, Ruby on Rails (RoR), Express.js, Next.js, gRPC, Flask, Cypress.io

  • Libraries/APIs

    React, REST APIs, Redux-Saga, Protobuf, LeafletJS, Node.js, Scikit-learn, Pandas, Socket.IO, Luigi

  • Tools

    Git, GitHub, Eclipse RCP, RSpec, Docker Compose, IDEA IDE, PyCharm, Jenkins, Vagrant, WebStorm, Celery, GIS

  • Paradigms

    Object-oriented Programming (OOP), Unit Testing, REST, Functional Programming, Aspect-oriented Programming, Continuous Integration (CI), Microservices, Microservices Architecture

  • Platforms

    Linux, Docker, Kubernetes, Amazon Web Services (AWS), Ubuntu, Apache Kafka, Amazon EC2 (Amazon Elastic Compute Cloud), OpenStack, AWS Lambda

  • Storage

    Spring Data, Elasticsearch, PostgreSQL, NoSQL, Redis, Amazon S3 (AWS S3)

  • Other

    Front-end, Back-end, Shell Scripting, Containerization, Containers, React Query, Open Source, CI/CD Pipelines, AWS, Distributed Systems, Machine Learning, API Integration, Integration Testing

Education

  • Graduate (Incomplete) Degree in Natural Language Processing
    2012 - 2015
    Institute of Informatics Systems (IIS SB RAS) - Novosibirsk, Russia
  • Master’s Degree in Physics, Information Technology
    2010 - 2012
    Novosibirsk State University - Novosibirsk, Russia
  • Bachelor’s Degree in Physics, Information Technology
    2006 - 2010
    Novosibirsk State University - Novosibirsk, Russia

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