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YAROSLAV DIDKIVSKIY
Python Developer
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GitHub Prepario

Summary
Python Backend Developer with ~2.5 years of experience building backend systems and APIs, including
domain experience in FinTech and AI-assisted workflows (LLM integrations). Built an internal data-collection
service that cut transaction processing time by ~70% and a liquidity pool detection service ~20x faster than
third-party APIs, while eliminating recurring third-party API costs across a system of 11 microservices. Wrote
onboarding documentation in Notion and walked teammates through codebase logic to support smoother
onboarding. English proficiency at B2 level. Looking to keep growing as a backend developer, deepening my
skills and taking on more architectural responsibility over time.

Skills
Object-Oriented Programming (OOP) Python
SOLID principles, Design patterns Python 3.10+, Advanced Python (Decorators,
Iterators, Generators), Async Python
Web Development Frameworks
Django, Django ORM, DRF, FastAPI, Flask Version Control & Collaboration
Git/Github
Algorithms and Data Structures
Algorithm complexity, Arrays, Linked Lists, Stacks, Web Scraping
Queues, Hash Maps, Hash Sets Web Scraping (BeautifulSoup, Scrapy, Selenium)

Databases Development Tools
PostgreSQL, SQLite Debugging, Docker, Celery (task queues, Celery Beat,
Redis)
Large Language Models
OpenAI, Gemini, Claude, Ollama DevOps & Deployment
Docker, CI/CD pipelines, Kubernetes, GCP, Linux,
deployment automation

Professional Experience
Quanter, Python Backend Developer 07/2025 – 03/2026
Developed and maintained fintech-related backend services using Python and
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FastAPI across a system of 11 microservices, each exposing 5+ REST endpoints
with authentication, role-based access control, and complex data relationships.
Designed a microservices architecture with clear separation of responsibilities,
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improving scalability and maintainability of the system.
Built a liquidity pool detection service that identified newly created pools within
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under a minute, cutting detection time by ~20x compared to third-party APIs with
~20-minute delays, and calculated TVL and trading volume.
Replaced third-party APIs with cached/stale data by building an internal data-
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collection service that persisted token data directly to a database — speeding up
downstream transaction processing by ~70% and eliminating recurring costs of
paid third-party API subscriptions.
 Used Temporal to orchestrate user-triggered strategy workflows across multiple
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microservices, replacing a custom-built orchestrator and significantly speeding
up workflow development and execution.
Used Redis to serve frequently-changing, real-time data and cache API gateway
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endpoints, while Celery handled background tasks for per-user processing.
Implemented CI/CD pipelines and deployed services on Kubernetes clusters.
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Backend Developer, NDA 10/2024 – Present
Designed and built backend systems for multiple freelance projects using Python,
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Django, DRF, FastAPI, and Flask, owning architecture decisions from schema
design through deployment.
Designed and implemented REST APIs with JWT-based authentication, role-based
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access control (RBAC), and complex relational data models; designed PostgreSQL
and SQLite schemas tailored to each project's domain logic.
Containerized services with Docker and maintained clean Git/GitHub workflows
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across projects, including branching strategy and code review practices.
Integrated LLMs (OpenAI, Gemini, Ollama) into production features and internal
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tooling - built AI-assisted functionality for end users and used LLMs to speed up
development cycles and boilerplate generation.
Built asynchronous Python services and data-collection pipelines (BeautifulSoup,
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Scrapy, Selenium) for scraping and processing data from external sources at scale.

Projects
Prepario - AI Interview Simulator 04/2026 – 05/2026
Full-stack AI interview simulator with JWT/OAuth authentication, rate limiting,
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and LLM-based evaluation (Gemini), designed for structured technical interview
practice with secure, scalable backend architecture

DRF Library API 06/2025 – 07/2025
Built a Dockerized REST API for a book library system with user authentication,
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book management, and category filtering.

Planetarium API Service 05/2025 – 06/2025
Developed a RESTful API for managing planetarium events, show schedules, and
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ticket bookings with role-based access.

Django Task Manager 04/2025 – 05/2025
Created a full-featured task management system with user authentication, task
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status tracking, and project organization.

Languages
Ukrainian English
Native Upper-Intermediate (B2)

Education
Bachelor in Software Engineering, 09/2023 – Present
Kyiv National Trade and Economic University (KNUTE) Kyiv

Mate academy 03/2024 – 09/2024
Python course (OOP, Python, Django, DRF, FastAPI)
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