I'm a software engineer and researcher with a focus on geospatial IoT and cloud-native architectures. Currently pursuing an MSc in Wearable Technology at the University of Calgary, I'm passionate about engineering scalable and efficient solutions for managing and analyzing large volumes of data.
- π Current Role: MSc in Wearable Technology at GeoSensorWebLab, University of Calgary
- π’ Affiliations:
- Member of the Open Geospatial Consortium (OGC) SensorThings API Standards Working Group
- Open Source Contributor, 52Β°North GmbH
- Senior Software Engineer at Samsung Research Institute
- Languages: Java, Python, C, C++, SQL, JavaScript
- Frameworks: Spring Boot, Node.js, Django, JUnit, Intel DPDK
- Developer Tools: Git, Docker, Kubernetes, AWS Cloud, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse
- Libraries: jOOQ, JPA, Matplotlib, Pandas, Selenium
- Databases: PostgreSQL, MySQL, MongoDB, DuckDB
- Geospatial Technologies: OGC SensorThings API, Cloud Native Geospatial, AWS Suite
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Cloud-native Geospatial Storage:
- Developed a data lakehouse based cloud-native storage architecture for geospatial IoT data using AWS & Apache Iceberg.
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5G Networks R&D at Samsung:
- Enhanced HTTP packet filtering in 5G Core, achieving a 72% improvement in latency.
- Implemented caching and bloom filter techniques to handle non-matching searches, boosting performance by 36%.
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Open Source Contributions:
- GSOC 2024: 52Β°North's SensorThings API implementation, enhancing the standard to support cloud-native geospatial data formats.
- Active in OGC +various other communities
- CSA Graduate Scholarship Award (2024)
- The Linux Foundation Open-Source Summit North America Scholarship (2023)
- Samsung Professional Software Competency Test (2022)
- GirlScript Foundation Coding Bootcamp Mentor (2020)
I'm always open to collaborative projects and contributions to the open-source community. Feel free to reach out if you're interested in building innovative tech together!