• File

Носов

Python-програміст

Age:
22 years
City of residence:
Kyiv
Ready to work:
Remote

Contact information

The job seeker has provided: Phone number

Name, contacts and photo are only available to registered employers. To access the candidates' personal information, log in as an employer or sign up.

Uploaded file

Quick view version

This resume is posted as a file. The quick view option may be worse than the original resume.

DANIIL NOSOV
Full-Stack Developer
Kyiv, Ukraine | [open contact info](look above in the "contact info" section) | [open contact info](look above in the "contact info" section)
LinkedIn: /in/daniil-nosov-9184962a2 | GitHub: /Daniil-Nosov

SUMMARY
Dedicated Full-Stack Developer with 2+ years of hands-on commercial experience in software engineering.
Proficient in designing robust RESTful APIs, containerizing applications, and implementing asynchronous task
queues. Experienced in building modern, responsive, and type-safe user interfaces using React, TypeScript,
and a comprehensive ecosystem of state management libraries. Solid foundation in Computer Science with
additional knowledge in Machine Learning. Highly motivated to build scalable applications and optimize
performance across the entire stack.

TECHNICAL SKILLS
Frontend JavaScript (ES6+), TypeScript, React, Redux Toolkit, Zustand, React Query,
Tailwind CSS, Material UI (MUI), HTML, CSS, Vite, GraphQL
Backend & Frameworks Python, Django, Django Channels, Django REST Framework (DRF), FastAPI
Databases PostgreSQL, SQLite, Redis
Infrastructure & Tools Docker, Docker Compose, Git, Celery, Pytest, OpenTelemetry, Prometheus, CI/CD
Machine Learning Machine Learning fundamentals, PyTorch, NumPy
Languages English (B2), Ukrainian (Native), Russian (Native)

EXPERIENCE
NDA AdTech Startup May 2025 – August 2026
Full-Stack Software Engineer (Remote)
• High-Volume Traffic Delivery System: Architected a scalable backend TDS with FastAPI and
PostgreSQL to process 5M+ daily dynamic redirects, maintaining a p99 response time under 50ms.
• Real-time Fraud Detection: Developed an ultra-fast anti-fraud module utilizing Redis Lua scripting to
analyze request patterns and block malicious bot traffic in real-time.
• Advanced Frontend Architecture: Built a data-intensive administrative dashboard using React and
TypeScript. Offloaded heavy client-side data parsing and array manipulations to Web Workers, ensuring a
smooth 60fps UI experience without blocking the main thread.
• Real-time Analytics & GraphQL: Integrated GraphQL and WebSockets to serve live campaign metrics.
Configured Apollo Client with advanced caching strategies to minimize redundant network requests and
avoid over-fetching.
ApexTech Solutions April 2024 – May 2025
Full-Stack Software Engineer (B2B Contract, London, UK — Remote)
• Event-Driven Microservices & ML Serving: Re-architected a legacy monolith into an event-driven
ecosystem using FastAPI and Redis Pub/Sub, integrating PyTorch-based models for real-time inference.
• Concurrency & Distributed Transactions: Resolved database deadlocks by implementing the Saga
pattern and row-level locking mechanisms for sensitive financial operations.
• Frontend Performance Tuning: Resolved critical memory leaks and optimized rendering cycles in a
massive React SPA using strict TypeScript typing, memoization (useMemo, useCallback), and windowing/
virtualization for lists containing 50,000+ items.
• Distributed Tracing & Infrastructure: Integrated OpenTelemetry and Prometheus for microservices
observability, and automated multi-container testing pipelines using Docker Compose and Pytest.

ADDITIONAL PROJECTS
Aggregator August 2026
Python, FastAPI, PostgreSQL, Redis, Docker Compose
• Engineered a fast and responsive asynchronous backend microservice using FastAPI to aggregate and
serve structured NBA statistics.
• Designed optimized database schemas in PostgreSQL for efficient querying of player and game statistics,
integrated with Redis caching to minimize data retrieval latency.
Performance Profiling Tool (Flamegraph) 2023
Python, Performance Optimization
• Created a profiling project to visualize application performance bottlenecks using flamegraphs and call
stack analysis.

EDUCATION
Taras Shevchenko National University of Kyiv (KNU) June 2026
Bachelor's Degree, Faculty of Computer Science and Cybernetics
• Thesis: Інтерпретованість нейронних мереж: методи SHAP та LIME

More resumes of this candidate

Similar candidates

All similar candidates

Candidates at categories

Candidates by city


Compare your requirements and salary with other companies' jobs: