Experience
A decade spanning production software engineering and security research: shipping enterprise software at Philips and Oracle, designing privacy-preserving systems during my doctoral work at Stevens and Telecom SudParis, and now teaching and leading at Bowie State.
Production software engineering
Eight years building, testing, and shipping enterprise software across healthcare and finance domains.
Senior Applications Engineer
- Developed feature updates and bug fixes for the JD Edwards ERP suite in finance localization.
- Performed thorough testing and debugging across C++, SQL, and REST API integrations.
Senior Software Engineer
Built tooling and infrastructure for Philips MRI software teams:
- Created a test-automation toolchain that reduced manual testing effort by over 50%.
- Deployed a version-control solution for large binary assets of 300 GB per release.
- Led teams of four in Global Philips Best Practices and the PIC Bangalore Hackathon.
- Mentored and coached interns on C++ programming and MRI physics.
- Studied and implemented efficient design patterns, algorithms, and data structures.
Technical Account Manager
Worked with end-users of the EMR system to diagnose client-side errors, analyzing desktop and iPad client issues to identify and deliver technical solutions.
Teaching, leadership, and security research
Lecturer, Department of Computer Science
- Co-authored a $500K grant proposal as Co-Principal Investigator.
- Guided two undergraduate SFS scholars on Threat Assessment research projects.
- Mentored four undergraduate SURI scholars on Privacy-Preserving Computations projects.
- Conducted course assessment reviews to support ABET and CAE accreditation.
- Organized Cyber Day, an AI Conference, cybersecurity training, and a CTF competition.
- Teach Ethical Hacking, Operating Systems, and Programming. See Teaching.
Doctoral Researcher & Graduate Research / Teaching Assistant
Ph.D. dissertation: Towards Efficient Security Analytics. Designed and implemented systems for running supervised machine learning and security analytics on encrypted data using fully homomorphic encryption (FHE), including SigML, SigML++, and VaultBox. As a GRA/TA, designed and assessed graduate, undergraduate, and pre-college cybersecurity courses and taught applied cryptography and network security tools.
Visiting Researcher
Investigated fairness while preserving security and privacy in collaborative machine learning, working with polynomial approximations, hashing, and fully homomorphic encryption.
Guest Lecturer
Instructed an online undergraduate course on Digital Systems.
Systems and tools I have built
My engineering shows up as shipped, documented, open-source software, from a forward-secure C++ storage library to an in-browser LaTeX compiler.
VaultBox
Header-only C++ library for forward-secure, replicated, rateless storage of security logs (built on Crypto++). The systems counterpart to the VaultBox research paper.
chiku
Python library for efficient probabilistic polynomial function approximation, used to approximate sign and comparison operations for computation over encrypted data.