Volodymyr

VOLODYMYR HLADII
PYTHON DEVELOPER

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Telegram Lviv, Ukraine/remote

SUMMARY SKILLS
Software Developer with 1.5 years of Object-Oriented Programming (OOP): SOLID principles, Design
experience. Working with Python, patterns
Django, Django ORM, Django Rest
Algorithms and Data Structures: Algorithm complexity, Arrays,
Framework, FastAPI.
Have worked on AI-powered Linked Lists, Stacks, Queues, Hash Maps, Hash Sets
products integrating LLMs, RAG Python 3.10+, Advanced Python (Decorators, Iterators,
systems, and voice AI agents. Generators), Asynchronous Python (asyncio, Concurrency,
Experience with subscription and Parallelism)
payment systems, document Web Scraping & Data Analysis: Web Scraping (BeautifulSoup,
processing pipelines, and vector
Scrapy, Selenium), Data Analysis (Pandas, Matplotlib, Tableau)
search. I have developed strong
analytical thinking and problem- AI & LLM Integration: RAG systems, AI Agents, LLM integration,
solving skills, which I effectively Google Vertex AI, OpenAI, Voice AI agents (LiveKit)
apply to debugging and optimizing Vector Search & Embeddings: pgvector, vector embeddings,
code. I learn new information semantic search
quickly and have a deep interest in Payments & Integrations: Rapyd, Stripe, webhook handling
modern technologies.
Web Development Frameworks: Django, Django ORM, Django
Communicative and enjoy working
in a team. Have an intermediate Rest Framework, FastAPI
level of English. Databases: PostgreSQL, SQLite, Redis, MongoDB
Version Control & Collaboration: Git/Github
Development Tools: Debugging, Docker, OpenTelemetry,
LANGUAGE
Terraform(basics), Kubernetes(basics), CI/CD piplines, AWS
English(Intermediate)
EXPERIENCE
Python Developer in Appexoft, Apr 2025 - present

EDUCATION
"Technical Vocational College of Lviv Polytechnic National
University", Lviv, Ukraine, 2020-2024
Professional Junior Bachelor in Software Engineering
ADDITIONAL EDUCATION:
Python course at Mate academy (OOP, Python, Django)
 PORTFOLIO
Two AI-powered platforms for researchers: academic writing and project
management:
Apr 2026 – present
The first platform is for writing structured scholarly documents with AI
assistance, where users work with documents broken down into sections by
paper type, use AI to generate and enhance text backed by a RAG system, and
find collaborators through semantic vector search. The second platform is for
managing research projects — creating AI-generated project briefs, managing
ideas and opportunities, building knowledge graphs from uploaded
documents, and processing research papers to extract structured metadata
and embeddings. Both services include a subscription system and multi-tenant
support.
Responsibilities: implemented new features; built full subscription system with
Rapyd payment integration, credits, coupons, and webhook handling; built
document processing pipeline with file upload, pgvector embeddings, and ML
extraction flow; contributed to the development of an internal ML library for
document creation, enhancement, and embedding workflows; covered
implemented features with tests.

Service for clinics with an agent to answer phone calls:
Oct 2025 – Apr 2026
A service for clinics that includes a voice agent to answer patient calls —
booking, canceling, and rescheduling appointments, answering questions
about the clinic via an integrated RAG system. The dashboard displays call
history with transcriptions, recordings, and summaries, as well as patient and
appointment information and call statistics.
Responsibilities: implemented new features and fixed the existing logic for
agent; implemented billing with subscription and usage-based plans; added
multi-language support; added OpenTelemetry tracing for the voice agent;
restructured test suite and extended coverage with e2e and unit tests; set up
CI/CD pipelines; managed AWS ECS deployment.

Web service for optical store employees:
Apr 2025 – Oct 2025
A service for optical store consultants to manage patient information, select
frames and lenses, take measurements, and create orders with receipts.
Included subscription and discount management, insurance-based price
calculation, GDPR compliance, and CSV/Excel data import scripts.
Responsibilities: built backend services with FastAPI and Pydantic, designed
PostgreSQL data models, integrated third-party services, wrote tests, set up
CI/CD pipelines and Docker configuration.

Task manager:
Django, Django ORM, Bootstrap.
GitHub Code
Airport service:
Django, Django ORM, Django REST, Swagger, Docker
GitHub Code
Online Cinema service:
FastAPI, SQLAlchemy, PostgreSQL, Swagger, Docker
GitHub Code