Freelancer profile translated to English.
Back to original languageAbout Anton
🚀 Full-stack developer with a focus on data & AI | Business value through intelligent systems
I develop data-driven platforms and AI solutions that deliver measurable business impact – whether for increasing sales, automating processes, or optimizing markets. My focus is on full-stack architectures with integrated data processing and machine learning – both with classic ML methods and deep learning.
📈 Examples of results:
✔️ +22% sales growth through LLM-supported product data enrichment (15,000+ products, 7+ markets)
✔️ 100,000+ orders/year processed via integrated API architecture (Amazon, Shopify, ERP systems)
✔️ AI forecasting systems for inventory planning & replenishment control with forecasting models
✔️ Computer vision solutions for image processing & upscaling large image files for printing systems
✔️ Deep Learning Pipelines for visual classification, feature analysis, and robust generalization tests
🧠 Technologies & Tools:
Python, Django, PostgreSQL, MongoDB, Docker, Streamlit, Anvil.works
PyTorch, TensorFlow, Scikit-Learn, Pandas, FastAPI, Bash, Git
AWS (EC2, S3, SageMaker), REST APIs, Adobe API, Plentymarkets
🎯 Competencies:
Full-stack development, Machine Learning, Forecasting, Computer Vision, Data Integration, DevOps, MLOps, API Design, Project Management
English
Native or bilingual
German
Native or bilingual
Dutch
Conversational
Russian
Native or bilingual
Remote only
Primarily works remotely
Experience
- Modular PrintFreelance Backend Software EngineerAugust 2023 - June 2025 (1 year and 10 months)Berlin, Germany🔹 Full-Stack platform for invoicing & order forwarding (printing industry)Development of a scalable platform for invoicing and order forwarding for a printing company with tens of thousands of orders.Synchronization of order data across various sales channels and internal CRM systems via APIs.Review and redesign of the billing system with test-driven development (TDD); replication of complex price and invoice calculations.Creation of an internal tool for the sales team for individual price calculation for large orders.🔹 Image processing pipeline for large format printingDevelopment of an end-to-end pipeline for user images, including automatic image processing and upscaling with neural networks (Pillow, own models).Integration with Adobe API and a custom CMS for print preparation.🔹 Data integration & internal reporting tools (e-commerce)Building a tool for automated evaluation of historical order data: data aggregation, visualizations and user-friendly Streamlit frontend.Close collaboration with the accounting department to create compliant reports and save hundreds of hours of manual work.🔹 Logistics & inventory management (SaaS tooling)Compilation and management of a six-person development team to implement an internal solution for warehouse management and replenishment planning - later marketed as SaaS.Delivery of the MVP under budget, with features such as inventory tracking, demand forecasting (forecasting) and automated warning systems.Development of the backend with Django and implementation of an ML module for inventory forecasting.
- Deeper Systems ConsultancyMachine Learning EngineerJuly 2022 - August 2023 (1 year and 1 month)Clinica Y Optica Full Visionn, QC, Guatemala• Led the development ofgradient boost predictive modeling system to identify potential fraud in online poker game, training player classification and collusion detection model based on equity calculation and user history.• Conducted a full audit of the payout calculation system for new game modes, identifying calculation errors in various edge cases.
- Sensit y B.V.AI Researcher / Machine Learning EngineerJanuary 2022 - June 2022 (5 months)Amsterdam, Netherlands• Conducted applied research my training AI for deepfake detection using neural networks (PyTorch) andquantitative analysis of visual features and adversarial patterns in manipulated imagery.• Built pipelines for pre-processing, model evaluation, and dataset augmentation, implemented experiments for model generalization testing and robustness evaluation against various types of synthetic media.
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Education
- M.Sc. Information StudiesUniversit y of Amsterdam2022M.Sc. Information Studies
- B.Sc.Universit y of London Royal Holloway College2018B.Sc.