common application security testing methodologies (e.g., SAST, DAST, IAST).

• Deployed reliable secure DevOps pipeline with distributed systems like CAP theorem and embedded systems. Software Development Engineer BugTorch Tracking Webapp 06/2020
• 11/2021 Utilized Python+Django to rapidly develop a core feature set. Integrated Bootstrap CSS into the Django Template Language's HTML. Utilized the project to develop itself. Remotely developed all code in a headless Debian Linux environment accessed through SSH. Develop an Agile Bug-and-Work tracking app similar to Atlassian JIRA. Software Engineer
• Security and Privacy Santa Clara University 08/2015
• 06/2020 Conceptualized and co-designed a cryptographic system aimed at improving citizen privacy called DeadDropBox. Architected the blockchain node software backbone, blockchain scaling, layer two, improvements to the virtual machine Ethereum smart contract code. Led diverse team in planning and execution of OS security research study. Collated and concisely defined core concepts of cryptocurrency, cryptojacking, and the iterative history of the cryptojacking problem in user-centered terms.
• Identified, analyzed current market conditions around cryptojacking and came to a consensus on multiple strategies. Enumerated shortcomings of existing tools across domains of personal computing, containerized computing, and Computing as a Service. Technologies used include LaTeX and the Google Suite.
• Designed and implemented end-to-end product features driven by the needs of developers.
• Evaluated database backends, networking libraries, and other tools to be included in the stack.
• Resolved performance optimization, identifying bottlenecks and scalability concerns.
• Implemented a consensus algorithm similar to Paxos/Raft, pBFT, and tendermint.
• Implemented cryptography primitives hash functions or digital signatures.
• Researched legal and historical privacy precedents in multiple nations. Utilized proven cryptographic tools and legal precedent to deliver a solution to a widespread challenge to citizen privacy.
• Developed algorithm that adheres to legal and technical necessities and maintains non-disclosure agreements.
• Rigorously defined and documented technical necessities for transitioning concept into a commercially viable system which overcomes inconsistencies in existing data forfeiture laws.
• Presented common compiler optimizations to be easily understandable to students.
• Demonstrated utility of common open-source tools in compiler design.
• Iteratively advanced from simple to extremely efficient code compilation to illustrate historical improvements in compiler design.
• Prioritized readable code for a learning audience. Allowed for runtime manipulation of features so users could observe compilation results with and without various specific forms of optimization.