Barnabás – AWS, Python, Flask

Multiple freelancing projects.

• Confidential Client: - Built a standardized cryptocurrency derivatives exchange connector with asynchronous collectors for funding rates, open interest, and trading pairs, incorporating robust error handling and rate limiting.

• Contributed to the development of an algorithmic trading system designed to execute large orders across multiple cryptocurrency exchanges.

• Contributed to the development of a cryptocurrency transfer service enabling secure asset movement between centralized and decentralized exchanges via an intermediate wallet.

• The Hawkers Club: - Working for a startup - streamlining data collection processes from a leading e-commerce platform's vendor portal to enhance analytics capabilities and drive seller efficiency improvements.

• Developed a serverless automation platform for financial operations using AWS CDK (Python), focusing on vendor remittance, invoicing, and audit workflows.

• Built event-driven microservices architecture using AWS Lambda, DynamoDB, and S3 for processing financial transactions and detecting pricing discrepancies.

• Implemented asynchronous messaging with SQS, SNS, and EventBridge for service communication. Integrated QuickBooks API for automated invoice generation and management.

• Created a data analytics pipeline using AWS Athena for financial reporting and developed reusable Lambda layers for common functionality across services.

• Other projects: - Utilised Python and automation expertise to enhance efficiency in diverse projects, for an educational tool development project, and a Plastic Surgery practice.

Internal Python pipeline that computes derivative-based financial indicators from market data using NumPy and Pandas for internal analytics.

• Implemented Python modules (NumPy, Pandas) for computing derivative-based financial indicators.
• Developed and maintained components of an internal data processing pipeline for time-series market data.
• Optimized numerical computations and added validation to ensure the correctness of indicator calculations.

An internal monitoring and automation platform that helps engineering and operations teams automate application monitoring, alerting, and infrastructure management.

• Developed custom automation solutions as part of an internal monitoring and performance consulting team.
• Held workshops and led development efforts.
• Played a pivotal role in the planning and execution of a migration project related to a monitoring solution.
• Created robust pipelines for deployment of alerting configurations to an external monitoring hub.
• Refactored custom application monitoring solutions written in Python, containerised them, and moved them to Kubernetes, significantly reducing costs.
• Designed and developed a solution using an API gateway and Azure Functions to roll out a monitoring agent on hosts automatically via multiple deployment vehicles.
• Tracked and fixed bugs and documented work.
• Contributed to the development of a virtual consultant solution for internal service offerings and general request handling using an internal GPT client and Confluence as a knowledge source.

An R&D project focused on improving medical diagnostic accuracy through machine learning on CT scan vertebrae data.

• Contributed to an R&D project focused on enhancing medical diagnostic accuracy through machine learning.
• Contributed to the development of a model for vertebrae segmentation from CT scans.
• Contributed to the development of a classifier to detect health deviations in segmented vertebrae.
• Fine-tuned a model for vertebrae segmentation from CT scans.

Multiple projects

• Contributed to the development of a streaming platform using microservice architecture.
• Refactored old code, developed new modules, and wrote unit tests.
• Reworked the inner stream system to use FFmpeg bindings instead of the CLI version, making it easier to add layers from and to IP camera output in service.
• Developed a web scraping solution for debank.com to gather information about open interest and leveraged tokens.
• Telcotrend- Contributed to the integration of software into Telekom HU's new invoicing pipeline.
• Tracked and fixed issues for integration scripts.
• Developed software for different ESP32-based devices that monitored users' movements, entry, and time spent in different areas.
• Used the ESP-IDF framework and C for BLE beacon devices.
• Contributed to the automation of business processes and back-end development of a custom web portal that provided user-friendly interaction with the underlying SAP systems.
• Contributed to redesigning the architecture of the outdated web page and its backend.