Ангеліна

ANHELINA HONCHARUK
[відкрити контакти](див. вище в блоці «контактна інформація»)
[відкрити контакти](див. вище в блоці «контактна інформація»)

Results-oriented Python Developer with 3+ years of experience building
SUMMARY
scalable web applications and RESTful APIs using Django and FastAPI.
Proficient in designing microservices architectures, optimizing database
performance, and implementing secure authentication systems. Strong track
record of collaborating with cross-functional teams to deliver high-quality
products in EdTech and SaaS domains, with hands-on experience in cloud
deployment (AWS) and containerization.

SKILLS Python, SQL
Django, DRF, FastAPI, SQLAlchemy, Celery, Pydantic
PostgreSQL, MongoDB, Redis
pytest, unittest, coverage, mock
Git, GitHub Actions, Docker, Docker Compose
AWS (EC2, S3, RDS, Lambda, API Gateway), Azure (basic)
JWT, OAuth2
Prometheus, Grafana
Linux, Nginx, Gunicorn, Postman, Swagger/OpenAPI, Jira

LANGUAGES English: B2
Ukrainian: Native

WORK Startup House | Python Developer Sep 2024 - Present
EXPERIENCE EduFlow — AI-Powered Learning Platform
Developed a personalized learning platform that uses AI to recommend
educational content based on user performance and preferences. The
platform serves 15,000+ daily active users across European universities.
Responsibilities:
Architected and implemented a microservice for content recommendation
using OpenAI embeddings, improving content engagement by 32%
Designed RESTful APIs with Django REST Framework serving 50K+ daily
requests with average response time under 200ms
Implemented JWT-based authentication with refresh tokens and role-
based access control (RBAC)
Optimized PostgreSQL queries using indexing and query optimization,
reducing database load by 40%
Set up CI/CD pipeline with GitHub Actions, automating testing and
deployment to AWS ECS
Conducted code reviews and mentored two junior developers on best
practices and design patterns

SmartInvoice — Automated Invoice Processing System
Built an automated invoice processing solution for a fintech client, extracting
key data from PDF invoices using OCR and NLP, reducing manual data entry
by 70%.
Responsibilities:
Developed FastAPI-based microservices for document ingestion, data
extraction, and validation
Integrated OCR (Tesseract) and NLP (spaCy) pipelines to extract invoice
data with 94% accuracy
Implemented asynchronous task processing with Celery to handle 500+
concurrent document uploads
Designed MongoDB schema for flexible document storage and
implemented aggregation pipelines for analytics
Deployed services on AWS EKS with Kubernetes, managing rolling
updates and scaling policies
Implemented OAuth2 with Google and Microsoft SSO for multi-tenant
authentication
Participated in technical design discussions, proposing event-driven
architecture for scalability

Brainhub | Python Developer Jan 2023 - Aug 2024
GreenTrack — Carbon Footprint Monitoring SaaS
Created a B2B SaaS platform that helps companies monitor, analyze, and reduce
their carbon footprint by integrating with various data sources (energy
consumption, travel, supply chain).
Responsibilities:
Built the core API infrastructure using Django REST Framework and FastAPI
(for high-throughput endpoints)
Integrated third-party APIs (energy providers, transportation APIs) to collect
real-time emissions data
Developed a data processing pipeline with Celery for nightly aggregation of
1M+ records
Implemented Redis caching for frequently accessed analytics reports,
reducing response time from 1.2s to 150ms
Designed and optimized PostgreSQL database with partitioning and indexing
for time-series data
Set up monitoring with Prometheus and Grafana, creating dashboards for
system health and performance
Collaborated with product and frontend teams to refine API contracts and
deliver features on an agile 2-week sprint cycle

MediConnect — Healthcare Appointment System
Developed a telemedicine platform enabling patients to book appointments,
conduct video consultations, and access medical records, serving 200+ clinics
across Poland.
Responsibilities:
Designed RESTful APIs for appointment scheduling, patient management, and
medical record access
Implemented real-time notifications using Django Channels and WebSockets
for appointment reminders and chat
Developed an RBAC system with 5 user roles (patient, doctor, admin, etc.)
using JWT with scoped permissions
Optimized database queries and added caching (Redis) to handle 10K+
concurrent users during peak hours
Integrated with external video conferencing APIs (Zoom, Jitsi) for virtual
consultations
Wrote comprehensive unit and integration tests using pytest achieving 92%
test coverage
Led the migration from monolithic Django application to modular services,
improving maintainability
Conducted security audits, implementing data encryption at rest and in
transit (GDPR compliance)