T-Bank
Go microservices for the stories feature in the T-Bank app. Shipped in the Investments app and the yellow app; the yellow app's interface was later redesigned.
Worked on the core content-moderation features.
Wrote a Kafka library and a PostgreSQL layer over Squirrel; used by 3 teams.
Code review, mentoring, on-call.
Technologies: Go, Kafka, PostgreSQL, Cassandra, gRPC, Avro.
Tinkoff (rebranded to T-Bank)
Backend for gamification: achievements and social mechanics for all bank clients and children's accounts.
Designed the microservice structure for achievement progress, levels and tournaments (an unreleased feature with achievement groups).
Stayed the only developer through a team change, kept the project moving and onboarded an intern and a new engineer.
Code review, mentoring, architecture design.
On-call.
Technologies: Go, Kafka, PostgreSQL, gRPC.
Yandex
Worked on the quota service inside Sandbox, Yandex's internal platform for running tasks on a compute cluster (10M+ tasks a day).
Improved resource accounting with quota borrowing: tasks landed on servers where the accounted RAM points matched their needs. Effective quota for some large users grew by 2-4%.
Configured resource isolation via cgroup and task orchestration.
Answered usage questions from other teams and took on-call shifts.
Technologies: Python 2.7, LXC containerization, PostgreSQL, Yandex proprietary technologies.
Yadro
Wrote a block-device driver in the Linux kernel (C) with a custom erasure-coding algorithm; it ran faster than the in-kernel implementation for CD burning.
Built the update manager, a service that updates the cluster.
On a 7-person team I worked on ~15 Go microservices of the storage system (auto-updates, volumes, monitoring), mostly smaller features.
Worked with Pacemaker and iSCSI, set up systemd units.
Technologies: Go, C, ETCD, Pacemaker, Vagrant, gRPC.
EMC (Dell EMC)
Integrated the Jepsen testing framework to verify concurrency and consistency of the Centera distributed storage system.
Optimized B-tree search in a legacy Java codebase: +5-7% performance in specific data-retrieval scenarios.
8+ years in production: concurrency, generics, performance.
gRPC services, Protobuf schemas and versioning.
Producers, consumers, event pipelines.
Schemas and queries, sharding, partitioning; Redis for caching.
Docker and LXC; running services in Kubernetes (kubectl).
Prometheus, Grafana, OpenTelemetry (gRPC, REST), Jaeger; GitLab CI, Jenkins, GitHub Actions; unit tests in Go.
RedHat, CentOS, Ubuntu, Arch.
etcd deployment and configuration.
Bash and Python for automation; systemd units; Pacemaker HA clusters.
Data structures, algorithms, complexity.
Python and C, including legacy Python 2.7.
My open-source Go library: parallel, lazy map / filter / reduce pipelines over slices and other sequences. ~280 stars on GitHub.
Specialization: Information Systems and Technology.
GPA: 4.857 / 5.0
Thesis: Development of a prototype component manager for a distributed, high-availability data storage system.
Specialization: Business Information Systems.
Completed all required coursework alongside full-time employment.
Thesis not defended due to the pandemic.