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*.md |
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# Employers | ||
## Employers | ||
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## Jahnel Group | ||
### Jahnel Group | ||
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- Penetration testing on various cloud apps; discovered OWASP vulnerabilities ie stored XSS, unsecured endpoints, logic flaws, misconfiguration | ||
- Full stack development of secure cloud applications using SQL, NodeJS, AWS, Google Cloud | ||
**Software Engineer** | ||
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## CodeSecure | ||
*June 2023 - Present* | ||
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- Analysis of compiled binaries to develop Software Bill of Materials without original source code | ||
- Created data collection pipeline to automate process of acquiring ground truth binaries for SBOM generation | ||
- Led penetration testing initiatives on various cloud applications, identifying | ||
and mitigating critical OWASP vulnerabilities including stored XSS, unsecured | ||
endpoints, logic flaws, and misconfigurations. | ||
- Engineered secure cloud applications using SQL, NodeJS, AWS, and Google Cloud, | ||
implementing robust security measures and ensuring compliance with industry | ||
standards. | ||
- Collaborated with cross-functional teams to design, develop, and deploy | ||
full-stack solutions, enhancing application performance and security. | ||
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## Sonnet Software | ||
### CodeSecure | ||
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- Modify highperformance RF simulation written in C/ASM to run on MacOS / Apple M1 | ||
- Update matlab interface to use new XML data storage format | ||
**Software Engineer** | ||
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# Published Research | ||
*June 2021 - Dec 2022* | ||
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## WebGPU-SPY | ||
- Developed automated tools for the analysis of compiled binaries to generate a | ||
Software Bill of Materials (SBOM) without requiring the original source code, | ||
enhancing software transparency and security. | ||
- Designed and implemented a data collection pipeline to automate the | ||
acquisition of ground truth binaries, streamlining the SBOM generation process | ||
and enhancing efficiency. | ||
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- Discovered novel GPU cache side channel using WebGPU and JS | ||
- Performed website fingerprinting through side channel with 90% accuracy | ||
- Published and presented in AsiaCCS 2024 | ||
- Research with prof. Hoda Naghibijouybari | ||
- Paper available on [arXiv](https://arxiv.org/abs/2401.04349) | ||
### Sonnet Software | ||
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## ParticleGrid | ||
**Software Engineer Intern** | ||
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- Use SIMD, CUDA, and C++ to create high throughput, just-in-time data generation to enable machine learing of new data types on HPC systems | ||
- Architected resnet-based deep neural network for molecule generation using PyTorch | ||
- Published in IEEE e-Science 2024, presented in ACS Physics March Meeting 2022 | ||
- Research with prof. Kenneth Chiu | ||
- Paper available on [arXiv](https://arxiv.org/abs/2211.08506) | ||
*August 2019 - August 2020* | ||
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# Certifications | ||
- Modified a high-performance RF simulation tool written in C/ASM to ensure | ||
compatibility with MacOS and Apple M1 architecture, improving software | ||
performance and accessibility. | ||
- Updated the MATLAB interface to adopt a new XML data storage format, improving | ||
data management and integration capabilities. | ||
- Collaborated with the development team to optimize existing algorithms and | ||
improve the overall efficiency of the simulation software. | ||
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## Published Research | ||
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### WebGPU-SPY | ||
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- First author of groundbreaking research discovering a novel GPU cache side channel using WebGPU and JavaScript. | ||
- Achieved 90% (state-of-the-art) accuracy in performing website fingerprinting | ||
through the identified side channel, demonstrating the potential for | ||
significant security implications. | ||
- Published and presented findings at AsiaCCS 2024. | ||
- Conducted research under the guidance of Prof. Hoda Naghibijouybari. | ||
- [Paper available on arXiv](https://arxiv.org/abs/2401.04349). | ||
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### ParticleGrid | ||
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- Utilized SIMD, CUDA, and C++ to create high-throughput, just-in-time data generation enabling machine learning of new data types on HPC systems. | ||
- Architected a ResNet-based deep neural network for molecule generation using PyTorch. | ||
- Published in IEEE e-Science 2024 and presented at the ACS Physics March Meeting 2022. | ||
- Conducted research under the guidance of Prof. Kenneth Chiu. | ||
- [Paper available on arXiv](https://arxiv.org/abs/2211.08506). | ||
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## Education | ||
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### Binghamton University | ||
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*August 2019 - May 2023* | ||
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Bachelor of Science in Computer Science, *Summa Cum Laude* (GPA: 3.98) | ||
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## Certifications | ||
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- [AWS Cloud Practitioner](https://cp.certmetrics.com/amazon/en/public/verify/credential/26522ad1191645f59b6b98fe22efb9b3) | ||
- [Google Cloud Digital Leader](https://www.credly.com/badges/afaaad60-89a0-4da7-84d7-e24f94ab22c3/linked_in_profile) |
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