Trương Đình Khoa - Bazzi Tr
Data & AI Engineer
Architecting intelligent data systems at the intersection of retrieval-augmented generation and scalable ML infrastructure. Specializing in Energy-Based Retrieval (EB-RAG), real-time data pipelines, and autonomous racing intelligence — building systems that think, adapt, and scale.
Building systems that sit at the edge of what retrieval, generation, and real-time inference can achieve — with a focus on architectural correctness, observable behavior, and production-grade reliability.
EB-RAG
Energy-Based Retrieval-Augmented Generation
STATUS
ACTIVE
RESEARCH IN PROGRESS
ARCHITECTURE_OVERVIEW
EB-RAG is a hybrid architecture combining the expressiveness of Energy-Based Models (EBMs) with the factual grounding of Retrieval-Augmented Generation. Instead of relying solely on likelihood-based scoring, the system uses an energy function to evaluate the compatibility between retrieved context and generated responses — enabling more nuanced, controllable, and grounded AI outputs.
MRR@10
0.5676
NDCG@10
0.655
RECALL@10
1.0
LATENCY MEAN
132.47ms
LATENCY_P50
125.66ms
LATENCY_P95
196.43ms
THROUGHPUT_QBS
7.55
TECH_STACK_COMPONENTS
PROJECT_INVENTORY
Technical Modules
TOTAL_MODULES: 3
ALL SYSTEMS: ACTIVE
RAGEve
RAG System Module — v1.0.0
RAGEve is a local-first RAG (Retrieval-Augmented Generation) platform built for developers and teams who want the power of RAG workflows without depending on external cloud services. Everything runs on your own machine — no API keys, no data leaves your network.
Streamflow
Data Pipeline Module — v1.8
Use the SSI API to process tick-by-tick stock price data in Vietnam. Live price quotes, order books, candlestick charts, and market indices for Vietnam's HOSE/HNX/UPCOM exchanges, with a machine-learning-ready feature store underneath.
AutoRace 2025
3rd Place Finish at Auto Race — v3.0
End-to-end autonomous racing system combining computer vision, trajectory optimization, and reinforcement learning for real-time decision making at the edge. It was an intense day of competition where we put our autonomous driving algorithms to the ultimate test.
TECH_STACK_OVERVIEW
System Components
INITIATE CONTACT
Open to collaboration, research inquiries, and system design discussions.
dinhkhoa.bazzi24@gmail.com
GITHUB
github.com/bazzi24
linkedin.com/in/khoa-truong-dinh-104748303
SYSTEM_STATUS
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