I'm a Computer Science graduate from Rutgers University with a minor in Mathematics.
A collection of work completed during the Hydroficient externship, showing applied tasks and learning outcomes in IoT security and defensive practices.
Hydroficient · Nov 2026 · ✅ Verified by Extern
Build, hack, and defend real IoT infrastructure, then hand your security playbook to an actual company. You’ll launch realistic cyberattacks, from spoofing and replay attacks to unauthorized shutoffs, and implement defenses like TLS and mTLS.
Cataloged all company laptops in a spreadsheet, recording asset ID, serial number, operating system, CPU, and RAM, gathering specs through command-line tools and BIOS when devices couldn’t be accessed. Evaluated each device’s hardware and condition to determine whether it was suitable for employee use or should be retired. Prepared approved laptops for deployment by upgrading RAM where needed and performing factory resets.
Designed and normalized a PostgreSQL database for a 300,000+ row HMDA mortgage dataset, implementing data cleaning, transformation, and relational query logic to ensure data accuracy and consistency. Developed a Python-based natural language interface that converted user questions into executable SQL queries. Built a GUI enabling non-technical users to perform joins, filtering, grouping, and aggregate analysis without writing SQL, making the system accessible to end users.
Developed an Android application supporting donut ordering, cart management, and order tracking functionality. Implemented mobile user interfaces, event-driven workflows, and backend logic to streamline menu selection and order processing. Tested and debugged application components to identify and resolve issues, improving usability, reliability, and overall user experience.
I'm a Computer Science graduate from Rutgers University with a minor in Mathematics.
I'm a Computer Science graduate from Rutgers University with a minor in Mathematics and hands-on experience building software applications, relational databases, mobile applications, and data-driven tools. I enjoy solving technical problems, debugging systems, working with databases, and learning how software and systems work under the hood. I'm currently interested in entry-level opportunities in: IT Support / Help Desk, Technical Support, Software Development, and Database / Data roles My long-term goal is to transition into Cybersecurity and build hands-on experience with security.
Externships
Hydroficient IoT Cyber Defense Externship
Completed · Nov 2026
Experience
IT Support Intern
Factory LLC · Sep 2026 – Present
Education
Rutgers University
Bachelor of Science in Computer Science, Minor in Mathematics · Class of 2026
Skills
✅ Verified by Extern
Build, hack, and defend real IoT infrastructure, then hand your security playbook to an actual company. You’ll launch realistic cyberattacks, from spoofing and replay attacks to unauthorized shutoffs, and implement defenses like TLS and mTLS.
The work mapped system components, applied STRIDE threat analysis, executed spoofing, replay, and identity attacks against an MQTT pipeline, and implemented transport-layer defenses including TLS and mTLS. Deliverables include attack logs, experiment results, a provisioning policy, dashboard slides, and a security playbook. The work was awarded Top Performer by Hydroficient.
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I produced a threat model card and a comprehensive PDF mapping system components, enumerating STRIDE threats, documenting attack paths, and recording proposed mitigations, alongside technical artifacts from experiments and a Device Provisioning Policy.
Cataloged all company laptops in a spreadsheet, recording asset ID, serial number, operating system, CPU, and RAM, gathering specs through command-line tools and BIOS when devices couldn’t be accessed. Evaluated each device’s hardware and condition to determine whether it was suitable for employee use or should be retired. Prepared approved laptops for deployment by upgrading RAM where needed and performing factory resets.
Designed and normalized a PostgreSQL database for a 300,000+ row HMDA mortgage dataset, implementing data cleaning, transformation, and relational query logic to ensure data accuracy and consistency. Developed a Python-based natural language interface that converted user questions into executable SQL queries. Built a GUI enabling non-technical users to perform joins, filtering, grouping, and aggregate analysis without writing SQL, making the system accessible to end users.
Developed an Android application supporting donut ordering, cart management, and order tracking functionality. Implemented mobile user interfaces, event-driven workflows, and backend logic to streamline menu selection and order processing. Tested and debugged application components to identify and resolve issues, improving usability, reliability, and overall user experience.
