Kevin Kim

Kevin Kim

CS + Cognitive Science @ Johns Hopkins.

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About

Masters Student with a CS + Cognitive Science background from Johns Hopkins, currently completing an MS focused on AI. I've built systems at JHU's Applied Physics Laboratory, contributed open source to Red Hat's PatternFly, and most recently designed and deployed an on-prem LLM toolkit plus workflow automations in a venture-investing setting at IMM Investment.

Security Clearance: Secret (active)

Projects

FastAPIPostgreSQLpgvectorNext.jsTypeScriptDagsterSupabase

Sijang

Korean market intelligence platform.

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MongoDBExpressReactNode.jsWebSocketsAWS Lambda

Split.it

Fare-splitting platform for the JHU community.

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SEEK

Ensemble knowledge distillation for domain-specific QA.

Python · PyTorch

GAN Image Inpainting

Training a GAN to fill masked regions in images.

Python · PyTorch

Quest2Learn

Augmented reality for lab-science education.

Unity · C#

Experience

  1. 2026

    Software Engineer Intern — IMM Investment

    Built a production RAG pipeline (LangChain, OpenAI, GPT-4) for analyst Q&A over private deal and portfolio data, exposed via FastAPI with on-prem deployment. Automated 20+ workflows eliminating 160 man-hours, and engineered an LLM-based news ETL delivering daily market digests firm-wide.

  2. 2024 – 2026

    Sergeant, KATUSA — ROK / U.S. Army

    Korean Augmentation to the United States Army. Completed mandatory military service.

  3. May – Aug 2023

    Software Engineer Intern — JHU Applied Physics Laboratory

    Built a real-time ship navigation GPS simulation in Rust and Python, improving computation time by 23%. Implemented a drone vision and control pipeline integrating YOLOv4 and Segment Anything; collaborated with 20+ Navy officers and DoD sponsors to translate operational feedback into system requirements.

  4. 2022 – 2023

    Open-Source Contributor — Red Hat PatternFly

    Migrated 30+ React components from JavaScript to TypeScript in PatternFly 4, enforcing strict type safety and accessibility compliance. Shipped production-ready components to a codebase used by 10,000+ enterprise users.

  5. May – Aug 2022

    Software Engineer Intern — JHU Applied Physics Laboratory

    Uncovered a security vulnerability in the Hotspot 2.0 standard via airborne packet capture over civilian-dense environments using Wireshark and Python. Briefed the office of the CTO and co-authored remediation recommendations.

  6. 2022 – 2024

    Researcher — LoReLab, JHU

    Researched low-resource NLP at JHU's Yarowsky Lab.

  7. 2021 – 2024

    Course Assistant — Johns Hopkins University

    Lead TA for Gateway Computing; TA for Natural Language Processing; TA for Self-Supervised Models