Олег

Oleg Suyarkov
Python Engineer
📧 [відкрити контакти](див. вище в блоці «контактна інформація») · 📱 [відкрити контакти](див. вище в блоці «контактна інформація») 🔗 [відкрити контакти](див. вище в блоці «контактна інформація») 📍 Ukraine · Remote

SUMMARY

Python Engineer with 4+ years of experience building and operating production-grade backend systems. Hands-on
expertise across the full delivery lifecycle — from architecture design and backend development with FastAPI and
Django to cloud infrastructure provisioning (AWS, GCP), Kubernetes-based deployments, CI/CD and automation
with Terraform, Helm, and Argo CD. Experience leading a development team of 4, with full ownership of
architecture decisions, code reviews, and mentoring. Delivered backend for high-traffic national e-government
platforms and AI-integrated products — implementing AI components (OpenAI API, RAG pipelines) with a practical
applied understanding of the domain. Experienced in high-availability environments with observability stacks
(Grafana, Prometheus, Loki) and a broad integration portfolio including Stripe, Plaid, Twilio, HubSpot, and Microsoft
Graph. Also have an understanding of JavaScript, TypeScript, React, TanStack Framework, and Next.js,
complemented by a small practical React experience. Comfortable owning both technical decisions and direct
customer communication. Quick to pick up new technologies and apply them effectively in production
environments.

WORK EXPERIENCE

Inquatro
Role: Python/DevOps Engineer
Period: May 2022 – Present

AI-Powered Credit Risk Platform (outsource, FinTech · Live in production)

Roles: Team Lead, Backend developer, DevOps engineer, Acting Frontend developer
Period: Sep 2024 – Present
Project: Freight forwarder credit risk tool based on AI analytics of financial data.
Key Contributions:
Designed scalable microservice architecture for an AI-powered credit risk analytics platform.
Led a team of 4 developers — architecture decisions, code reviews, and mentoring.
Developed multiple core backend modules covering key platform functionality.
Temporarily covered frontend development responsibilities, implementing new fronend functionality and fixing
existing issues.
Used AI coding agents to accelerate Frontend feature development and bug fixing, manually reviewing and
validating generated code before integration.
Integrated Stripe payment processing, enabling subscription billing for platform clients.
Built JWT-based authentication and RBAC authorization system.
Established CI/CD pipelines (Bitbucket Pipelines + Argo CD), significantly reducing deployment time and manual
effort.
Integrated Jira API as part of a core application module, enabling automated issue management and data
synchronization directly within the platform.
 Deployed full observability stack (Grafana + Loki + Promtail + Prometheus + Alertmanager), enabling proactive
incident detection in production.
Provisioned and managed AWS infrastructure (EKS, RDS, ElastiCache, Route 53, etc.) using Terraform IaC.
Authored project and public API documentation (Mintlify).
Participated in client-facing discussions, contributing technical input and solution proposals.
Backend Technologies: FastAPI, Celery, asyncio, httpx, Boto3, Pydantic, SQLAlchemy, Alembic, pytest.
Frontend Technologies: React.
Databases: PostgreSQL.
Cloud Technologies: AWS (EKS, ALB, WAF, RDS, EC2, VPC, Lambda, SQS, S3, ECR, Secret Manager, ElastiCache,
Route 53, Cognito).
DevOps Technologies: Terraform, Kubernetes, Helm, Argo CD, Bitbucket Pipelines, Load Balancing, Logging
(Grafana + Loki + Promtail), Monitoring (Grafana + Prometheus), Alerting (Alertmanager), External Secret Operator,
Stakater Reloader.
API Integrations: Stripe, Plaid, Jira, application specific API integrations.

AI Assistants for National E-Government Learning Platform — Ministry of Digital Transformation of Ukraine
(outstaffing · Live in production)

Roles: Backend developer
Period: Oct 2025 – Jan 2026
Project: National online learning platform operated under a Ukrainian e-government initiative. Developed two AI-
powered user assistants deployed on the platform.
Key Contributions:
Co-designed architecture for two AI assistants deployed on a high-traffic national learning platform.
Developed backend services handling concurrent user sessions across both assistants at scale.
Built API layer for interaction with external services and internal platform APIs.
Automated RAG pipeline update process, eliminating the need for manual content refresh.
Built admin control panel enabling non-technical staff to manage assistant content and settings without
developer involvement.
Participated in client-facing discussions, contributing technical input and solution proposals.

Backend Technologies: Django, Django REST Framework (DRF), Django ORM, Celery, httpx, Pydantic, pytest.
Databases: PostgreSQL.
Message Brokers & Cache: Redis.
API Integrations: Application specific API integrations.

AI Catalog Parsing & Image Matching Service (outsource, E-commerce · MVP)

Roles: Backend developer
Period: Aug 2025 – Sep 2025
Project: A service for parsing product catalogs, searching, and selecting relevant product images.
Key Contributions:
Designed end-to-end architecture for an AI-powered catalog parsing and image relevance selection service.
Built async Celery-based worker pipeline for parallel catalog ingestion.
Developed AI catalog parsing module using OpenAI API, extracting structured product data at scale.
Built image relevance scoring module using OpenAI vision capabilities to match products with catalog images.
 Integrated Zyte for anti-scraping bypass, ensuring reliable data collection across multiple sources.
Integrated OneDrive via Microsoft Graph API for automated delivery of processed results to clients.
Backend Technologies: Celery, httpx, psycopg, Pydantic.
Databases: PostgreSQL.
Message Brokers & Cache: Redis.
AI Technologies: OpenAI API.
API Integrations: Microsoft Graph, Zyte, Serper.

Voice Bot Automation Platform (outsource · MVP)

Roles: Backend developer, DevOps engineer
Period: Aug 2023 – Oct 2024
Project: Automation of various services using voice bots.
Key Contributions:
Co-designed event-driven architecture for a voice bot automation platform.
Integrated Twilio calling service, enabling automated outbound voice campaigns at scale.
Built an async worker service on GCP Pub/Sub for real-time processing of call events and results of integrated
Bland AI and Google Dialogflow after conversation and intent analysis.
Integrated HubSpot CRM as call management and analytics interface, providing real-time campaign visibility.
Established CI/CD pipelines (Bitbucket Pipelines + Argo CD) for automated deployments on GKE.
Deployed observability stack (Grafana + Loki + Promtail + Prometheus + Alertmanager) for production
monitoring.
Provisioned and managed GCP infrastructure (GKE, Pub/Sub, Firestore) using Terraform IaC.
Authored project documentation.
Participated in client-facing discussions, contributing technical input and solution proposals.

Backend Technologies: FastAPI, asyncio, httpx, Google Cloud libraries, Pydantic.
Databases: GCP Firestore.
Cloud Technologies: Google Cloud Platform (Pub/Sub, Firestore, Artifact Registry, GKE).
DevOps Technologies: Terraform, Kubernetes, Helm, Argo CD, Bitbucket Pipelines, Load Balancing, Logging
(Grafana + Loki + Promtail), Monitoring (Grafana + Prometheus), Alerting (Alertmanager), External Secret Operator.
API Integrations: Twilio, Slack, HubSpot.

AI-Powered Site Classification Service (outsource · Live in production)

Roles: Backend developer, DevOps engineer
Period: Apr 2023 – Jun 2023
Project: Service for analyzing sites on topics and keywords.
Key Contributions:
Designed serverless architecture for an AI-powered site classification service deployed on AWS Lambda.
Developed FastAPI-based REST API for topic and keyword analysis requests.
Built AI site classification module using OpenAI API, processing large volumes of URLs per day in production.
Deployed serverless infrastructure on AWS Lambda with DynamoDB as the backend data store.
Backend Technologies: FastAPI, asyncio, httpx, Boto3, pytest, Pydantic.
Databases: AWS DynamoDB.
Cloud Technologies: AWS Lambda.
AI Technologies: OpenAI API.

City Load Prediction Service (outsource · MVP)

Roles: Backend developer, DevOps engineer
Period: Sep 2022 – Feb 2023
Project: Service for prediction of a city load based on current events taking place in the city and historical data.
Key Contributions:
Built scrapers covering diverse city event data sources (websites, news portals, public APIs).
Designed and implemented Celery-based distributed worker system for parallel scraping and AI prediction tasks.
Deployed application on AWS EC2 with S3 for data storage and SNS for event-driven notifications.

Real Estate Data Aggregation Service (outsource, PropTech · Live in production)

Roles: Backend developer
Period: May 2022 – Aug 2022
Project: Service collecting data on real estate in Europe from various sources: websites, online newspapers, PDF
files.
Key Contributions:
Developed website scrapers and PDF parsers (PDFminer) extracting structured real estate data (client name,
date, construction company, etc.) across multiple European construction sources.
Diagnosed and resolved scraper reliability issues, improving data pipeline stability.

TECH SKILLS

Programming Languages: Python, SQL, Terraform, JavaScript, TypeScript.
Backend Technologies: FastAPI, Django, Django REST Framework (DRF), Django ORM, asyncio, SQLAlchemy,
Alembic, Pydantic, Celery, pytest, Boto3, Google Cloud libraries, FastStream, FastMCP, gRPC.
AI Technologies: OpenAI API, Pydantic AI.
Frontend Technologies: React, TanStack Framework, Next.js.
AI Skills (applied, non-specialist): Prompt engineering, RAG pipeline design and automation, MCP server
development.
Frontend Skills (applied, non-specialist): React development, state management, API integration, UI/UX
implementation.
Message Brokers & Cache: Redis, RabbitMQ, Kafka, AWS SQS, GCP Pub/Sub.
Databases: PostgreSQL, AWS DynamoDB, MongoDB, AWS Redshift, GCP Firestore.
Cloud Technologies: AWS (EKS, ALB, WAF, RDS, EC2, VPC, Lambda, SNS, SQS, CloudWatch, S3, ECR, Secret
Manager, ElastiCache, Route 53, Cognito), Google Cloud Platform (Pub/Sub, Firestore, Artifact Registry, GKE).
DevOps Technologies: Terraform, Kubernetes, Helm, Argo CD, Bitbucket Pipelines, GitHub Actions, GitLab
CI/CD, Load Balancing, Auto-scaling, Logging (Grafana + Loki + Promtail), Monitoring (Grafana + Prometheus),
Alerting (Alertmanager), External Secret Operator, Stakater Reloader.
AI Development Acceleration Tools: GitHub Copilot, Claude, Gemini, GPT.
API Integrations: Stripe, Twilio, Slack, HubSpot, Jira, Microsoft Graph, application specific API integrations.
Other Tools: Jira, Confluence, Bitbucket, GitHub, GitLab, Postman, Mintlify, Slack.
Operating Systems: Linux, Windows.
 Version Control: Git.

EDUCATION

National Technical University “Kharkiv Polytechnic Institute”
Master’s degree · Technical field (non-IT) · 2013

LANGUAGES

Ukrainian: C2
English: B2