Kamrun Nahar
@kamrunnahar3
I build AI systems for health triage, computer vision, NLP, and lightweight LLM security.
What I'm looking for
I've built BourneIt, a conversational AI health triage engine, and NextFirewall, a lightweight prompt-injection guardrail that reached 97.30% accuracy at 0.052ms per sample. My work combines Python, FastAPI, PostgreSQL, LLM prompting, and machine learning to turn research into deployable systems.
At East West University, I researched hybrid ML features for LLM prompt security and co-authored an IEEE QPAIN 2026 paper on weed classification, benchmarking CNN and Vision Transformer models to achieve 98.23% accuracy. I've also developed distributed NLP clustering pipelines and worked as a Backend AI Engineer intern on AI integration and repair workflows.
Experience
Work history, roles, and key accomplishments
Undergraduate Researcher
East West University
Dec 2025 - Present (8 months)
Currently completing a Q2 Journal Paper on a hybrid feature framework for a lightweight prompt guard on LLM systems, engineering TF-IDF, adversarial syntax, and BERT syntax to detect manipulation messages.
Education
Degrees, certifications, and relevant coursework
East West University
Bachelor of Science, Computer Science & Engineering
2022 - 2026
Activities and societies: Robotics Club
Pursuing a Bachelor of Science in Computer Science & Engineering, with a capstone project on MedAlertAI: Health Risk Assistant.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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