• Built agentic AI solutions for Equity Research and HR including long-short-term memory mgmt., sub-agent delegation, tool calling, human-in-the-loop, auditability, security, cost monitoring, and RAG.

• Development of Python scripts to run and deploy database performance and stress tests for successful data migration from Oracle to SQL Server to save on licensing costs.

• Setup of new FIX connections and trade support for new counterparties in test and production environments.

• Configuration of Prometheus and Grafana dashboards for systems monitoring and alerting.

• Implementation of Java remote method invocation APIs to send trading data from backend caches to GUI.

• Design of C# user interface for core algorithmic trading platform including grids, charts, and alerts.

• Design of distributed back-office systems for securities clearing, settlement, trade reporting, and fulfilment, as well as implementation of SWIFT and FIX message parsers.

• Built LLM-powered chatbots and automated workflows to aid engineers during PROD support via logs and development of new features via Jira tickets.

• JVM tuning, setting compilers and garbage collectors as well as fine-tuning code cache size to enhance application performance and responsiveness.

• Setup of CI/CD pipelines and k8s deployments across dev, int, staging and prod environments.

• Multi-threaded processing of securities account positions during reconciliation process, leading to results being delivered to traders 27 minutes faster than before.

• Leveraged Python to gain insights for research and business from diffraction patterns generated by the DESY particle accelerator and collaborated with technical staff to discuss the data analysis.

• Modeled signal-to-noise ratio in multilayer transmission geometries utilizing the PANalytical reference database for phase identification and employing SciPy to address optimization challenges.

• Built and configured capillary reactors for spatially resolved catalytic process analysis, enabling a profile reactor technique that optimizes production reactors for maximum conversion and efficiency.

• Employed Python and Excel for data-driven modeling of extraction curves from experimental data and presented research results to investors and partners.

• Designed an automated process cascade for producing lignin-based bioplastics from agricultural crop wastes, while also mentoring students to support the setup and data collection process.

• Study of scientific theory and state-of-the-art technologies, generating written reports required to navigate the research process effectively.

• Development of medical patient risk analysis tool (PHP, MySQL, JavaScript)

• Design and development of photography iOS app (Objective-C)

• MVP development for video-voice-over syncing iOS app (Objective-C, PHP, MySQL)