• Automated Pull Request Operation for Huma API backend team, making it possible to preview backend API in temporary cloud environments.
• Created Kubernetes operators to reconcile application and application compositions, inspired by docker-compose, to abstract away Kubernetes API complexity for developers.
• Created Kubernetes operators to reconcile cloud resources such as AWS S3 and GCS storages, Atlas and KubeDB provided MongoDBs, Redis cache, to enable managing these resources from controlling Kubernetes cluster.
• Led internal platform team of 3 senior engineers
• Automated CI/CD process, allowing the team to develop and test faster

Technology

• Golang, Kubernetes, Operator SDK Go, MongoDB, Docker, GitHub CI
• Jira, Confluence, GitHub, VSCode
• GCP GKE, AWS EKS, Azure AKS, Terraform, Helm, ArgoCD, Helmfile

Sitt.me – a babysitting crowd-sourced platform. My team consisted of PM, designer, QA, and developers: back-end, front-end, and mobile devs.

• Designed and implemented features like in-app notifications, video calls, etc.
• Handled deployment of 24 services to a private Kubernetes cluster production, staging environments
• Automated CI/CD process, allowing the team to test and deploy faster
• Detected and solved issues in our services
• Mentored back-end, and front-end devs

Technology

• Golang, Bash, Ruby, ReactJS, SQL; PostgreSQL DB, Redis, Maria, RabbitMQ, Firebase; Jira, Confluence, GitLab
• Engineering: Kubernetes, Docker, GitLab CI, ELK, Helm 

• Refactored Text-To-Speech API service, using in-house Python async gRPC server library
• Designed and implemented CMS of a voice assistant using Flask, PostgreSQL
• Redesigned and implemented low-latency Text-To-Speech API service on Golang, Redis, PostgreSQL
• Deployed and tested services to a private Kubernetes cluster, automated CI/CD process using TeamCity 
• Responsibilities included: code review, interviews, and mentoring developers from my team
• The team consisted of a technical lead, PM, 2 backend developers, 4 AI data scientists, and a mathematical linguist

Technology:

• Languages: Python, Golang, C++, SQL, bash
• Packages: gRPC, TensorFlow Serving, Flask, Gunicorn, NumPy, SQLAlchemy.
• DB: PostgreSQL DB, Redis, MongoDB
• tools: Docker, Kubernetes, Helm, Jira, Confluence, Bitbucket, TeamCity, PyCharm, Goland

Achivements:

• Designed architecture and developed a bio-metric identification software (GUI client, server, and embedded).
• Hired and spearheaded two software developers on this project.
• Optimized identity recognition using classic image processing algorithms and CNN
• Conducted a technological proof test and prepared a NIST compliant report.

Technology:

• Python, C++, C, SQL; Git (GitLab); Eclipse IDE, Qt Creator
• OpenCV, Caffe, SciPy; SQLAlchemy; gRPC, MQTT; PostgreSQL; Ubuntu, MS Windows

Achivements:

• Web-commerce site backend development for a wine importer, made on in-house Python framework from scratch.

Technology:

• Python 3.2, ExtJS 4; Git; vim, UMLet; PostgreSQL DB, SQLite, Apache HTTP Server, WSGI

Achivements:

• Developed and deployed a railroad technological process modeling client-server application.

Technology:

• С++, SQL, HTML, XML, JavaScript; VSC CVS; Eclipse IDE, KDEvelop, emacs
• Oracle DB, MySQL, in-house RDBMS + Web Server; bash, Fedora Linux

• Developed Borland C++ Builder applications for satellite trajectory computations