Viktor Tiulpin's CV

• Email: [email protected]
• Location: Amsterdam, the Netherlands
• Website: tiulp.in
• X: tiulpin
• GitHub: tiulpin
• LinkedIn: tiulpin

Profile

Started in ML. 6 years building developer tools – open-source CLIs and CI extensions with 4M+ downloads. Now: back on AI, platform infrastructure for JetBrains AI.

Experience

Software & Infrastructure Engineer, JetBrains N.V.

May 2022 – present

joined as a software engineer in the Qodana team, then switched to the AI Platform team to work on the LLM infrastructure

• created TeamCity CLI (Go) for terminal-native and AI-agent access to builds, logs, agents, and queues

• operated and extended the global multi-cloud Kubernetes platform powering JetBrains AI, owning multi-region Terraform across KMS, RDS, IAM, S3, and Route53

• core contributor to JetBrains AI's service-mesh adoption — built the platform's Istio integration and onboarded the production fleet

• implemented Qodana CI extensions CircleCI, GitHub Actions, Azure Pipelines adopted by 15K+ open-source projects

• shipped Qodana CLI (Go) and reproducible Docker images — 2M+ CLI downloads and 2M+ Docker pulls

• led a 3-person team developing Qodana security and compliance features

Software & Infrastructure Engineer, IntelliJ Labs Co Ltd. (JetBrains)

July 2020 – Feb 2022

worked on a newly launched product (Qodana) for static code analysis and code quality management

• shipped new features: license audit, clone finder, improving code analysis capabilities for 3000+ users

• rolled out a data pipeline for large-scale analytics of all public GitHub repositories (~2.8M repos)

• launched initial product website/socials, turned beta feedback into product improvements, reaching 1,000+ early users

Machine Learning Engineer, Center of Reactive Programming

Feb 2019 – June 2020

built computer vision and natural language processing solutions for various clients

• trained object detection and text classification neural networks for real-world business problems

• collaborated with industry partners to integrate ML prototypes into production, improving workflow efficiency

• boosted object detection algorithm precision by ~30% using data augmentation and transfer learning

Skills

Programming & Algorithms: Go · Python · Kotlin · TypeScript · Java · Data Structures & Algorithms · System Design

DevOps and Infrastructure: Docker & Compose · k8s · Terraform · Bazel · AWS · GCP · Monitoring (Prometheus, Grafana)

CI/CD and Version Control: git · GitHub Actions · Azure Pipelines · GitLab CI · CircleCI · Jenkins · TeamCity

Machine Learning: PyTorch · TensorFlow · Scikit-learn · OpenCV · Hugging Face · Data Science

Databases and Message Brokers: PostgreSQL · MySQL · Redis · Kafka

Spoken Languages: English · Ukrainian · Russian · Dutch (A2)

Education

Computer Science Center, competitive admission bootcamp in Software Engineering

Sept 2020 – Jan 2022

• mlcourse.ai: 8th/2360 participants · stepik: algorithms · c++ · java · python · databases · coursera: Stanford ML

• kaggle expert (ex. top 500): PANDA (13th/1010) · Bengali.AI (46th/2059) · TReNDS (31st/1047) · RSNA (48th/1345)

Saint Petersburg Polytechnic University (SPbPU), B. Sc. in Computer Science

Sept 2016 – July 2020

Other Activities

volunteer @ 911ua.org · conference organizer & tutor @ log.tiulp.in · open‑source contributor