KPTER: K-Pointer for Temporal Event Retrieval
Multimodal retrieval framework with a novel K-pointer sequential re-ranking algorithm and Weighted Reciprocal Rank Fusion for temporal video event retrieval. Best Presentation Award at SOICT 2025.
AI Engineer · HCMC · multimodal retrieval, LLM, production ML
My work sits between NLP, LLM, visual-language models, OCR, RAG, MLOps, and scalable backend infrastructure.
Backend Engineer (AI Platform); B.Sc. AI at University of Science, VNU-HCM.
Backend Engineer (AI Platform) · Nov 2025 - Present
Shipping Go and Python microservices, event-driven Kafka pipelines, and Dockerized inference workers across GCP, AWS, and Azure for distributed AI services.
Bachelor of Science in Artificial Intelligence · Aug 2023 - May 2027
GPA 8.79/10.0. Coursework includes DSA, OOP, networks, databases, operating systems, NLP, machine learning, data mining, and SE4AI.
Started as Backend Engineer on the AI Platform team at Acamar AI Vietnam.
Nov 2025
Multimodal retrieval framework with a novel K-pointer sequential re-ranking algorithm and Weighted Reciprocal Rank Fusion for temporal video event retrieval. Best Presentation Award at SOICT 2025.
A zero-shot ensemble for image retrieval and prompt-guided captioning, ranked Top-4 on the private test set of the EVENTA Challenge at ACM Multimedia 2025.
A grounded technical breakdown of three multimodal AI systems I co-built in 2025 — KPTER (SOICT 2025), ZSE-Cap (Top-4 @ ACM MM 2025), and a fine-tuned Sino-Nom OCR detector — and the engineering lessons that survived past the leaderboard.
A comprehensive MDX template demonstrating every available feature: callouts, code blocks with diffs, math, tables, images, and more.