I am an engineering leader with over 10 years of experience building and scaling backend systems, distributed infrastructure, and AI/ML platforms. Currently, I serve as the Chief Technology Officer at Perfect Systems, where I oversee more than 100 microservices across an internal super-app and enterprise outsourcing projects serving major companies in Kazakhstan. My role involves managing technical direction, engineering organizational health, and infrastructure economics while leading multiple engineering teams.
Throughout my career, I have led significant migrations to Golang at top global traffic sites and architected both bare-metal and Google Kubernetes Engine (GKE) clusters. I have extensive experience shipping production AI systems, including Retrieval-Augmented Generation (RAG), Model-Centric Platforms (MCP) integrations, recommendation engines, and large language model-powered assistants. I am equally effective as a hands-on individual contributor and as a technical leader managing cross-functional teams.
My expertise spans computer science fundamentals such as distributed systems, system design, concurrency, scalability, and networking. I am proficient in cloud platforms, primarily Google Cloud Platform, and have hands-on experience with Kubernetes, Docker, Helm, and infrastructure as code tools like Terraform and Ansible. I have a strong focus on observability and reliability using Prometheus, Grafana, ELK stack, and New Relic, ensuring robust production operations and incident response.
I have led backend development and platform engineering for complex microservices architectures, integrating AI features using Vertex AI and OpenAI APIs. My work includes optimizing databases at scale, building event-driven systems with RabbitMQ and Kafka, and implementing FinOps practices to optimize cloud spending. I am passionate about building scalable, reliable, and cost-effective systems while fostering career growth and development within engineering teams.
I have worked internationally, including roles in Kazakhstan, the United States, Germany, the United Kingdom, Ukraine, Serbia, and more. My experience includes contract and leadership roles where I have driven technical debt reduction, product feature delivery, and architectural modernization. I am continuously learning and adapting to new technologies and challenges, striving to deliver impactful engineering solutions.
I am motivated by solving complex problems at scale and enjoy collaborating closely with product teams and executives to align technical priorities with business goals. Despite my leadership responsibilities, I remain hands-on with coding and architecture reviews, ensuring technical excellence and innovation across all projects.
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Promoted from Principal Engineer into a CTO role. Responsible for technical direction, engineering org health, and infrastructure economics, managing 10+ engineering teams (50+ engineers) across several parallel tracks. Lead platform engineering for a large product ecosystem built on 55+ e2e microservices running on Google Kubernetes Engine (GKE). Led migration of high-traffic services to Golang and FrankenPHP/Caddy runtime. Integrated AI as first-class product components including Vertex AI pipelines and embedded AI assistants. Built bare-metal Kubernetes, GitLab CI/CD with ArgoCD, and observability tools like Prometheus, Grafana, Loki. Centralized API gateway with auto-aggregated OpenAPI specs and SDK generation. Database optimization on large datasets. Managed infrastructure with Terraform and applied FinOps practices. Developed career ladders and architecture reviews, working directly with CEO.
Technical lead across 4–6 backend and platform teams (≈15–35 engineers). Owned backend, platform, and infrastructure architecture end-to-end. Built and operated bare-metal Kubernetes platform for outsourcing clients. Ran production workloads on GCP GKE, Cloud SQL, BigQuery, Vertex AI, Datastream, Pub/Sub. Introduced Golang for performance-critical services, refactoring PHP workloads. Set up centralized observability (Prometheus, Grafana, ELK). Started AI integration with RAG-based assistants using LangChain and OpenAI. Led architecture and production-readiness reviews. Applied FinOps to optimize GCP spend. Used Cloud Build, Cloud Composer, Looker Studio for CI/CD and BI reporting.
Led backend development for internal super-app platform on GKE with a team of 8 engineers. Built WebSocket infrastructure for real-time capabilities supporting 100K+ concurrent connections. Designed ETL pipelines pulling data from BigQuery through Datastream into Redis and MySQL, powering analytics dashboards and BI reports. Worked extensively with GCP services including GKE, Cloud SQL, BigQuery, Pub/Sub, Cloud Spanner, DataFlow, Cloud Composer. Built CI/CD pipelines with Bitbucket Pipelines and ArgoCD. Integrated AI features using Vertex AI and OpenAI APIs. Focused on cloud architecture best practices and FinOps.
Backend engineer on healthcare ERP system with 100+ microservices on GKE. Worked with Laravel, Google Cloud Spanner, Elasticsearch. Transitioned to R&D role building internal developer portal and RAG-based chat system for business domain documentation. Developed RAG pipeline using FastAPI, fine-tuned OpenAI models, vector databases (PGVector to Weaviate), and Gradio interface. Built embedding pipelines and auto-documentation system on GCP.
Short contract helping with technical debt during a team transition. Refactored API parts, improved test coverage, cleaned code, and shipped features on tight deadlines.
Led backend department and development of internal company product https://askflow.ai. Designed microservices architecture using Laravel, Django, GraphQL, Redis. Built recommendation engine with TensorFlow Recommenders for content personalization. Handled Stripe integration with PCI compliance for recurring billing and usage tracking. Built ETL pipelines for analytics. Advised on blockchain projects for clients (Solana, Ethereum).
Contract job building an ERP system from the ground up as the only engineer. Designed architecture, wrote backend in Laravel, built frontend with Vue.js and TailwindCSS.
Worked on backend APIs for a very high-traffic adult content platform (top 10 globally). Maintained and improved APIs for Roku streaming devices and mobile apps. Refactored legacy PHP code to Golang microservices with gRPC, improving performance and maintainability. Set up caching with Redis and Memcached to handle traffic spikes. Built brute-force protection for user-facing APIs. Experimented with CartoonGAN (TensorFlow) for anime-style video transformation.
Led technical work on enterprise crewing company CRM including MSC. Modernized PHP monolith by breaking into microservices and introducing Golang for performance-critical parts. Built document parsing with TensorFlow to automate resume processing. Migrated service communication to gRPC. Normalized database schema and contributed to architecture decisions.
Backend development using Laravel and Symfony. Built features, fixed bugs, and contributed to early monolith-to-microservices transition. Gained experience progressing from junior to mid-level engineer.
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