Андрій

Andrii Rybak “I don’t just write code — I solve
problems that bring measurable results.
Software Engineer Every line I write serves a purpose:
clarity, reliability and scalability.
Phone: [відкрити контакти](див. вище в блоці «контактна інформація») I believe in simplicity — complex systems
Email: [відкрити контакти](див. вище в блоці «контактна інформація») should remain understandable.
No, I do not know everything. Knowing
LinkedIn: [Profile Link]
everything does not bring results.
GitHub: [Profile Link] Commitment to achievement does.
Instagram: [Profile Link] I am solving problems, not creating them.”

Summary of Software Engineer with strong hands-on experience in building scalable web applications
Qualifications and microservices using Python (Django, FastAPI, Flask), Go (Gin, gRPC). Proven track
record in delivering production-ready RESTful and gRPC APIs, optimizing SQL and NoSQL
databases, and deploying containerized services to the cloud (AWS, Docker). Experienced
in integrating Generative AI models (Chronos-T5 via Hugging Face Transformers) for time
series forecasting and NLP, as well as implementing real-time systems with Firebase. Skilled
in full SDLC, cloud infrastructure, and Agile delivery. Recognized for strong ownership,
clean architectural thinking and the ability to work both independently and in collaborative
Agile teams. Eager to contribute to impactful backend systems that combining robust
engineering with modern AI capabilities.

Skills Programming Languages Cloud Platforms & Virtualization
▪ Python — main language, strong ▪ AWS (EC2, RDS, S3, IAM, Lambda,
experience in Django, FastAPI, Flask. CloudWatch, CloudFormation,
▪ Go — building lightweight microservices Amplify, Lightsail)
with Gin framework. ▪ Microsoft Azure (AKS, Blob Storage,
▪ JavaScript / TypeScript — API integration Cognitive Search, DataBricks, Redis
and front-end interaction (React, Cache, Functions, Service Bus, Azure
Node.js). Monitor)
▪ SQL ▪ Kubernetes (AKS, Minikube)

Frameworks & Technologies
Development & DevOps Tools
▪ Python Ecosystem: Django, FastAPI,
▪ Docker, Docker Compose,
Flask
Kubernetes
▪ API Design: RESTful, GraphQL,
▪ Jenkins, GitHub Actions
WebSockets, gRPC
▪ Git, GitHub
▪ Caching & Queues: Redis, Celery,
▪ Monitoring: Prometheus, DataDog,
RabbitMQ
Azure Monitor
▪ Go Ecosystem: Gin, Fiber (basic)
▪ Swagger / OpenAPI, Postman,
▪ JavaScript / TypeScript: React, Node.js,
Insomnia
Express.js (basic)
▪ Other Frameworks: Laravel, ASP.NET
(basic knowledge)
Data Science & Analytics
▪ Pandas, NumPy, SciPy
▪ XGBoost, RandomForest, Time Series
Databases:
Forecasting (ARIMA, Chronos-T5)
▪ RDBMS: PostgreSQL, MySQL, SQLite
▪ Web Scraping (Selenium,
▪ Document-Oriented Databases:
BeautifulSoup)
MongoDB
▪ Data Visualization (Matplotlib,
▪ Key-Value Stores: Redis
Seaborn, Plotly)
▪ Column-Oriented Databases: Cassandra,
ScyllaDB
GenAI Tools & Models
▪ Search Engines: Elasticsearch.
▪ Hugging Face Transformers (BERT,
Testing Tools GPT-2, T5, Chronos-T5)
▪ Pytest, Unittest, Behave, Selenium, ▪ Prompt Engineering (instruction-
Postman, Swagger based fine-tuning, zero/few-shot)
▪ OpenAI API, LangChain
 Andrii Rybak
Software Engineer

▪ Vector Databases: FAISS, Pinecone
▪ Retrieval-Augmented Generation
(RAG)

SoftServe – Software Engineer
Experience / IT
Apr 2025 – Oct 2025· Full-time · Remote / Khmelnytskyi, Ukraine
related educational
Worked on an internal enterprise-level platform for procurement automation, AI-based
practice
contract classification, and purchase request optimization. The system provided automatic
tagging, analytics and supplier recommendations using AI-powered microservices
integrated with SAP and BrewDat datasets.

Responsibilities & Achievements:
• Designed, developed, and optimized backend microservices using FastAPI and Flask-
RESTX, ensuring scalability and clean modular architecture.
• Implemented AI Tagging System that classifies procurement requests via LLMs (Asimov,
GPT, LangChain) to identify supplier relationships and contract dependencies.
• Built asynchronous workflows using Celery and Redis integrated with AirFlow for large
data imports, notifications and scheduled tasks.
• Worked with MongoDB, Redis and MinIO, optimizing queries and caching for production-
level performance.
• Participated in the design and development of the Slot Booking Simulation microservice
with LangGraph, automating carrier slot generation and Google Drive synchronization.
• Contributed to CI/CD pipelines using GitHub Actions, automating testing, linting and
deployments across DEV, TEST and UAT environments.
• Collaborated within an Agile Scrum team on design reviews, grooming sessions and
documentation in Confluence.

SoftServe – Internship Backend Developer
Jan 2025 – Apr 2025 · Internship · Remote / Khmelnytskyi, Ukraine
Completed a 4-month internship as part of the UA-1340-Python/Forum group. Worked on
developing two backend microservices for a forum system using FastAPI (Python) and
Gin (Go).

Key Contributions:
• Designed and implemented RESTful and gRPC APIs with FastAPI (Python) and Gin (Go),
following Clean Architecture and Domain-Driven Design (DDD) principles.
• Created data access layers and integrated with Cassandra and ScyllaDB, optimizing
query performance.
• Applied Redis for caching and session management, improving response latency.
• Built Docker environments and automated CI/CD with Jenkins and GitLab CI, handling
builds, linting, testing and container publishing.
• Reached >85% test coverage via Pytest, httptest and Postman automation.
• Gained hands-on exposure to Kafka, KrakenD, Prometheus and Grafana for observability
and message-driven design.

AuditSoft – Full Stack Developer
Apr 2024 – Oct 2024 · Full-time · Hybrid · Khmelnytskyi, Ukraine
Developed and maintained a data-driven Inventory Optimization System to automate
purchase planning and demand forecasting for retail businesses.

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 Andrii Rybak
Software Engineer

Responsibilities & Achievements:
• Built the backend using Django REST Framework, following modular service-repository
architecture.
• Integrated Celery + Redis for asynchronous tasks and daily forecasting pipelines.
• Deployed on AWS EC2, RDS, S3, using Docker and GitHub Actions for CI/CD.
• Developed a React dashboard for analytics with Recharts and Axios, visualizing demand
and forecast accuracy.
• Applied Chronos-T5, ARIMA and XGBoost models for predictive analytics in Jupyter
Notebook.
• Optimized PostgreSQL schemas to handle millions of records efficiently.
• Implemented centralized logging and performance tracking via AWS CloudWatch.

Freelancehunt – Python Developer | Full-Stack Engineer
Nov 2023 – Jun 2024 · Freelance · Remote / Khmelnytskyi, Ukraine
Designed and delivered multiple freelance projects involving Python automation,
Telegram bots and desktop apps.

Highlights:
• Built custom Telegram bots for workflow automation and data collection.
• Created PyQt5 desktop applications with SQLite/PostgreSQL for auto service
management and finance tracking.
• Developed Django-based charity reporting system (Students Military Family Report) for a
social initiative.
• Collaborated on landing pages for marketing and logistics companies — combining
backend logic with modern UI.
• Maintained full cycle: design → development → deployment, including version control
and testing.

Tech stack: Python, Django, Flask, PyQt5, SQLite, PostgreSQL, HTML/CSS, JavaScript,
Telegram Bot API, Docker, Git.

Inventory Optimization System
Project Description: A web-based solution aimed at streamlining inventory management and forecasting for
retail clients. The system aggregates large-scale sales data, applies data analytics and
leverages machine learning models to predict stock requirements.
Integrated GenAI models (Chronos-T5 via Hugging Face Transformers) to generate and
fine-tune demand forecasts across multiple product categories.
Customer: AuditSoft: Mid-sized retail enterprise
Involvement Duration: 7 months
Project Role: Full Stack Developer
Responsibilities: ▪ Designed and implemented RESTful APIs using Django REST Framework to handle
large-volume data ingestion and retrieval.
▪ Engineered ETL-style data flows, applying data normalization and validation for multi-
source retail datasets.
▪ Deployed the backend and database layers to AWS EC2, RDS and S3, using Docker
Compose for container orchestration and environment management.
▪ Integrated Generative AI models (Chronos-T5 via Hugging Face Transformers) for
demand forecasting and fine-tuning predictions per product category.
▪ Optimized PostgreSQL schemas and queries, improving performance for datasets
containing millions of records.
▪ Ensured application quality with Pytest, Postman and continuous integration via
GitHub Actions.
Project Team Size: 5-6 team members
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Software Engineer

Tools & Technologies: Python (Django), REST Framework; Database: PostgreSQL, Cloud/DevOps: AWS (RDS, EC2,
S3), Docker; Testing: PyTest, Postman; Jupyter Notebook, Hugging Face (Chronos-T5),
Pandas, NumPy. Methodologies: Agile/Scrum

Educational Platform
Project Description: A large-scale e-learning platform designed for real-time course management, lesson
delivery and interactive student engagement. The system provides live and recorded
classes, automated grading, progress tracking and discussion forums — all integrated
within a modular, scalable architecture.
Customer: Education-focused startup / Training center
Involvement Duration: 9 months
Project Role: Full Stack Developer (Backend-focused)
Responsibilities: ▪ Designed and developed RESTful APIs with Django REST Framework for handling
course enrollment, scheduling, messaging and analytics.
▪ Integrated AWS Cloud Services — RDS for relational data management, EC2 for
scalable compute instances and S3 for secure media and file storage.
▪ Implemented role-based authentication and authorization using JWT, enabling
differentiated access for students, teachers and administrators.
▪ Collaborated with the frontend team to build React-based dashboards for real-time
course statistics, quiz results and progress visualizations using Axios and Recharts.
▪ Designed database schema in PostgreSQL, focusing on referential integrity,
optimized joins and efficient indexing for course and user data.
▪ Deployed and managed the platform on Dockerized environments, leveraging
GitHub Actions for CI/CD automation.
▪ Conducted end-to-end API testing using Postman and Swagger, ensuring data
consistency and performance under load.
Project Team Size: 2 team members
Tools & Technologies: Python (Django, DRF), Celery, Redis, React, Axios, Recharts, PostgreSQL, AWS (RDS, EC2, S3),
Docker, GitHub Actions, Swagger, Postman, Pytest, RESTful APIs, Clean Architecture

Forum Service (Q&A Platform | Social Network)
Project Description: A modular forum and Q&A platform built as part of SoftServe’s internal engineering
practice — designed to support large-scale user interaction, real-time engagement and
community-driven content. The system merges social network and Q&A functionalities
(similar to Reddit and Facebook) and was implemented as a microservices ecosystem
with separate services for user management, content and analytics.
Customer: Internal educational technology project at SoftServe
Involvement Duration: 4 months (February–May 2025)
Project Role: Backend Engineer (Python / Go)
Responsibilities: ▪ Designed, implemented and refactored independent backend microservices in
FastAPI (Python) and Gin (Go) following Domain-Driven Design (DDD) and Clean
Architecture principles for maintainability and testability.
▪ Built RESTful and gRPC APIs for posts, questions, comments, reactions and tagging,
supporting advanced pagination, sorting and filtering with consistent data validation
and error handling.
▪ Implemented Redis-based caching and session storage to reduce API latency and
offload frequent queries.
▪ Wrote unit, integration and contract tests (Pytest, httptest in Go), achieving ~85%
code coverage and establishing a testing baseline for regression detection.
▪ Configured Docker and Docker Compose for multi-service orchestration, ensuring
reproducible development and isolated environments.

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 Andrii Rybak
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▪ Participated in early-stage API Gateway design (KrakenD) and explored Kafka-based
event streaming patterns for inter-service communication and asynchronous event
propagation.
Project Team Size: 3 members (mentor-led agile team)
Tools & Technologies: Go (Gin), Python (FastAPI), Cassandra, ScyllaDB, Docker, GitLab CI/CD, KrakenD, Swagger,
Git, GitLab, Pytest, Jira, Microservices, REST/gRPC APIs, Event-Driven Design, DDD, Clean
Architecture.
Laravel Social Network
Project Description: A full-featured social media platform built with Laravel that allows users to register, share
posts with text and images, follow others, interact through likes/comments/saved posts
and chat in real time via Firebase. The application was developed using PostgreSQL and
follows a modern backend-frontend separation using Laravel Blade templates and
Alpine.js.
Customer: Educational project
Involvement Duration: 2 months (2023)
Project Role: Full Stack Developer (Laravel)
Responsibilities: ▪ Developed core backend logic using Laravel (auth, user profiles, posts, likes,
comments, saves)
▪ Implemented real-time messaging system using Firebase Realtime Database
▪ Created and optimized PostgreSQL database schema with migrations and seeders
▪ Integrated Blade Templates and Alpine.js for dynamic frontend behavior
▪ Secured application through proper session and environment configurations
▪ Deployed and maintained development environment using Composer, npm and Vite
Project Team Size: 1 member (myself)
Tools & Technologies: PHP (Laravel), PostgreSQL, Firebase Realtime DB, Blade, Alpine.js, JavaScript, HTML5,
CSS3, Composer, npm, Vite

Languages Ukrainian – Native
English – Upper-Intermediate (B2)

Education Khmelnytskyi National University – Bachelor’s degree, Software Engineering
September 2025 – Present | Khmelnytskyi, Ukraine
Focused on advanced software engineering, distributed systems and AI applications.
Active participant in ICPC and student initiatives.

Khmelnytskyi Polytechnic Vocational College of Lviv Polytechnic National University –
Professional Junior Bachelor, Software Engineering
September 2021 – May 2025 | Khmelnytskyi, Ukraine
Graduated with honors. Best Software Engineering Student (2024). Active in ICPC
competitions, workout events and student council.

Additional education ▪ Data Science Course – Main Academy (Certificate of Completion)
(courses, trainings, ▪ IT STEP Academy – Additional coursework in Full Stack Development
certifications) ▪ Hackathon Participation – Winner at AuditSoft Hackathon (June 2024)

Certificates
▪ Certified by the Main Academy organization for completing the Data Science course
▪ Main Academy
▪ Certified by Computer Academy STEP organization ▪ IT STEP Academy

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 Andrii Rybak
Software Engineer

▪ Certified by AuditSoft for participating and winning the hackathon. Issue date June
2024.
▪ Certified by SoftServe Academy for completing the technological practice program

Awards
Student
▪ The best Software Engineering Student in College
▪ Best College Student 2024
▪ For the first prize at the AuditSoft hackathon
▪ Prize place among colleges of Ukraine at ICPC
▪ Diploma with honors upon graduation from Khmelnytskyi Polytechnic Vocational
College

Hobbies & Interests • Streetlifting & Calisthenics Champion — multi-time winner and record holder in
pull-ups and dips with additional weight, Ukrainian Cup 2025 (category up to 70kg).

• Tech Projects & AI Research — experimenting with machine learning models,
automation, optimization and AI-driven challenges.

• Mentorship & Continuous Learning — enjoy sharing knowledge, mentoring students
and exploring new frameworks.

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