DevOps/Infrastructure Site reliability Data Engineering and AI
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Experience at intersection of cloud platforms, reliability, security and MLOps.
Core: 8
years of Enterprise Experience
Kubernetes | Terraform | AWS/GCP
Open to SRE, DevOps and Platform roles in Canada and the U.S. Canadian citizen, TN-eligible (USMCA), no sponsorship needed, self-relocating.
Look here for a collection of my latests projects, exercises, articles, and more.
Open to SRE, DevOps and Platform roles in Toronto and the U.S. Please don't hesitate to contact me.
April 2026 - Present
- live sports streaming OTT platform
● Supported FIFA World Cup 2026, NHL and MLB live streaming for up to 1M concurrent viewers, peaking at ~800 compute nodes on Kubernetes (EKS), AWS Fargate and EC2 (500+ vCPU, 1+ TB RAM)
● Implementing an AI-assisted SRE layer: LLM agents with RAG over Datadog telemetry and incident history that forecast game-day traffic spikes and recommend scaling or CDN failover ahead of time
● Owned Terraform IaC and GitHub Actions CI/CD, integrated with Flux GitOps on Kubernetes
● Ran business-continuity (BCP) failovers: live traffic switch between AWS regions and CDNs
● On-call incident response and RCA (Datadog, CloudWatch): ALB connection storms, Redis saturation
● Event-tier scaling, capacity planning and cost control
June 2021 - November 2025
● Led post-acquisition migration of Upchain software and integrations into the Autodesk ecosystem
● Supported Autodesk Upchain cloud PLM integrated with AutoCAD, Fusion 360 and SOLIDWORKS
● Shipped LLM-based and agentic systems for Autodesk's AI-powered PLM: RAG pipelines over Upchain data, model serving and evaluation on Kubernetes and AWS, multi-agent workflows
● Multi-platform CI/CD for CAD integrations: cross-compilation, toolchain config, arch-specific optimization
● Migrated company products from Monolith and Docker Compose to Kubernetes
● Owned cloud/on-prem DevOps lifecycle: weekly deploys, monitoring, security, backups, PagerDuty on-call

January 2021 - June 2021
- acquired by Autodesk
October 2022 - March 2023
● Fine-tune system performance, scalability planning and cost reduction
● Set up infrastructure and configuration management for bare-metal and cloud via Terraform
● Deploy and operate multi-node ELK stack: Elasticsearch, Logstash, Kibana & Beats
● Integrated AI into GitOps pipelines and observability: LLM-based log and monitoring summarization
● Monitoring and incident response for dev and production issues, emergency system recovery

August 2020 - January 2021
● Build infrastructure for ML and data engineering needs: data storage, models and architecture
● Provide scalable ETL pipelines for AI model training and schedule them with Airflow
● Collaborate with ML/AI team to streamline model training, validation and experiments
● Facilitate collaboration between data scientists, software and mechanical engineers

October 2019 - July 2020
● Ran in production on k8s: Postgres, MySQL, MongoDB, Spark, PrestoDB, Kubeflow, Jenkins, NextCloud
● Migrated products from Docker Compose to Kubernetes, running on-prem clusters, GCP and AWS
● Standardized releases of the company's machine learning platform microservices with Helm charts and CI/CD: faster deployments, versioned rollouts, per-environment configs and one-step rollbacks
● Setting up k8s clusters on bare-metal servers for Data Science team with GPU/CUDA and MinIO support
● Developing security and authorization mechanisms for internal services
August 2019 - November 2019
● Development and deployment of Chatbots and Voicebots on-premise and to IBM Cloud
Kubernetes Service in collaboration with IBM Data science team
● Creating interactive machine learning dashboards and deploying them as web
applications
December 2018 - March 2019
● Data integration of financial systems used by this company: QuickBooks for
accounting, ADP for payroll, Bambora for credit card processing
● Data Analytics and Data Management
September 2018 - April 2019
Full-time Ontario College Graduate Certificate program at
Georgian college
● Programming languages: Python, Bash, SQL
● Databases: MySQL, Postgres, MongoDB, IBM Db2
● Big Data systems: Hadoop, Spark
● Web, API's and Social Media Data Mining Techniques
● Cloud services: Azure, AWS, IBM
● Data visualization tools: Tableau, Power BI
● Statistic and Prediction Models for Data Analytics
September 2016 - February 2018
Odessa State Academy of Civil Engineering and Architecture
September 2012 - July 2016
Odessa State Academy of Civil Engineering and Architecture
March 15, 2019
volunteering as an event instructor
November 30, 2018
volunteering as assistant coordinator
Experienced in development and DevOps.
Let me take some of the work off of your
hands and help you focus on what matters most to you.
Comfortable with Python, JS(React), SQL, Bash, Docker, Kubernetes, GCP, and more, I can move your development in a way that makes sense to you.
With experience in Cloud, DevOps, Automation and more, we can work together to find exciting ways to move your development process into the future.
Support your DS team by implementing, deployment and serving of ML algorithms in meaningful and painless way
Toronto, Canada
Phone: +1 437 239 7174