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Portfolio

Celly.AI

— Trained Deep Learning models for blood cells detection/classification — Human level accuracy achieved, clinical trials passed — Developed back-end for better user experience, wrote APIs for mobile and front-end (Python, Django framework)

Celly.AI

— Migrated EC2 instances infrastructure to AWS EKS cluster improving scalability — Migrated existing handmade AWS infrastructure to Terraform code — Reduced maintenance cost by 70% moving AI inference from AWS EC2 instance to stateless AWS Lambda

Celly.AI

— Configured monitoring and alerting using Prometheus, Loki, Grafana and AWS CloudWatch — Wrote Bash and Ansible scripts for configuration and automation

Skills

Ansible
AWS
Bash
CI/CD
DevOps
Docker
GCP
Git
Gitlab
Golang
Grafana
Kubernetes
Linux
Nginx
PostgreSQL
Prometheus
Python
RabbitMQ
Terraform

Work experience

Software Engineer
since 10.2019 - Till the present day |Celly.AI
Python, Django framework, EC2, AWS EKS, Terraform, AWS Lambda, AWS EC2, Prometheus, Loki, Grafana, AWS CloudWatch, Bash, Ansible
— Trained Deep Learning models for blood cells detection/classification — Human level accuracy achieved, clinical trials passed — Developed back-end for better user experience, wrote APIs for mobile and front-end (Python, Django framework) — Migrated EC2 instances infrastructure to AWS EKS cluster improving scalability — Migrated existing handmade AWS infrastructure to Terraform code — Reduced maintenance cost by 70% moving AI inference from AWS EC2 instance to stateless AWS Lambda — Configured monitoring and alerting using Prometheus, Loki, Grafana and AWS CloudWatch — Wrote Bash and Ansible scripts for configuration and automation

Educational background

Faculty of Mechanics and Mathematics, Theoretical Mechanics (Bachelor’s Degree)
2015 - 2021
Lomonosov Moscow State University

Languages

EnglishAdvancedRussianProficient