Tri Nguyen Minh

Interactive AI conversational assistant trained on Tri's technical background, projects, and architecture specs. Supports streaming responses and zero-trust Tailscale Funnel HTTPS deployment.

Web-based interactive terminal & system control interface exposing remote PC power, thermal IoT telemetry, and system automation scripts directly via secure HTTPS web sockets.

Software engineering blog and technical notes documentation covering Clean Architecture, DevOps containerization, GNN deep learning research, and IoT hardware modding.

Cross-platform mobile personal finance management application built with Flutter/Dart. Features automated expense categorization, interactive visual budget analytics charts, monthly spending thresholds, and offline-first local SQLite storage.

Collaborated to architect a GMP-WHO pharmaceutical management system; defined flexible domain models to guarantee scalability. Implemented JWT/RBAC security, managing 15+ complex entities. Dashboard & Mobile App process real-time updates with sub-200ms latency.

Integrated Google Gemini 1.5 Pro for dynamic IELTS scoring with sub-second streaming latency. Engineered real-time audio-visual synchronization driving a 3D Sensei Avatar (<50ms delta). Applied SuperMemo-2 SRS spaced repetition and offline-first SQLite sync achieving 99.5% reliability.

Deployed Docker Compose pipeline slashing environment initialization time by 80% with automated DB seeding scripts. Architected NGINX reverse proxy routing, sustaining 500+ concurrent requests/sec with sub-50ms latency. Integrated Tailscale Funnel tunneling for 99.9% uptime.

Optimized few-shot voice cloning pipeline using PyTorch, successfully synthesizing high-fidelity audio from just 1 minute of raw reference data while reducing inference latency by 35%. Fine-tuned acoustic models and neural vocoders for exact timbre reproduction.

Resolved hardware signal contention and pinout conflicts for multi-servo controls, optimizing physical logic limits. Programmed custom ESPHome logic with automated PWM cooling loops via Home Assistant, eliminating thermal throttling.

Engineered a custom JDBC connection pooling engine from scratch to handle 200+ concurrent queries without ORM overhead, demonstrating deep understanding of core database internals. Built the pure MVC e-commerce platform using Java Core, Servlets, and JSP. Implemented robust session management and strict SQL injection protection.

Engineered an end-to-end facial recognition security pipeline, extracting 128-d vector embeddings with sub-200ms latency via OpenCV/dlib. Executed Euclidean distance matching, achieving 98.5% accuracy across 5,000+ benchmark images at 30+ FPS.

Led research team implementing scalable CURE (Clustering Using REpresentatives) algorithms, processing 100,000+ data points with 25% outlier noise density. Engineered optimal representative point partitioning, outperforming K-Means/DBSCAN by 18% in silhouette score accuracy.

Investigated non-Euclidean architectures using Graph Neural Networks (GNN) and architected relational data schemas spanning 1.5M+ nodes. Conducted rigorous peer code reviews and standardized evaluation pipelines, significantly improving experimental reproducibility.