I am a Senior Software Engineer & Architect with over 8 years of experience in designing and building large-scale, high-concurrency distributed systems using Java and microservices.

Currently, I am expanding my expertise into AI/ML Infrastructure and Large Language Model (LLM) Applications, applying my deep engineering background to build robust and efficient systems that power intelligent solutions. I am passionate about creating value at the intersection of solid software architecture and cutting-edge AI.

Based in Singapore, I am seeking senior roles in either Java System Architecture or AI/ML Infrastructure.

My skills cover the full spectrum from foundational backend architecture to modern AI/ML infrastructure.

Here are some projects that highlight my capabilities across both domains.

1. RAG System for Domain-Specific Q&A

   • Engineered a Retrieval-Augmented Generation (RAG) pipeline using Mistral-7B,chatGPT-o4-mini, ElasticSearch for a specialized knowledge domain.
   • Optimized the system for real-time interaction through efficient data processing and a high-throughput inference server deployment.

2. LLM Inference Acceleration & Fine-tuning

   • Customized open-source LLMs (Mistral, Qwen, Llama) using LoRA fine-tuning techniques on specific datasets.
   • Accelerated model inference significantly using vLLM and FlashAttention, deploying them as scalable API endpoints on cloud platforms like GCP and Azure.

3. Group-Level Multi-functional Payment Platform

   • Architected and developed a highly available, enterprise-grade payment center using Domain-Driven Design (DDD) and a robust microservices architecture.
   • The system reliably handles millions of transactions in a specific period time and smoothly process tens of thousands of transactions or more every day, ensuring data consistency and security across various payment channels.

4. High-Concurrency Instant Messaging (IM) System

   • Built a distributed IM system from the ground up to support millions of concurrent users.
   • Leveraged a powerful tech stack including Spring Boot, WebSocket, Kafka for message queuing, and Zookeeper for service coordination, achieving high throughput and low latency.

5. Enterprise Search & Real-Time Data Platform

   • Designed a high-performance search engine using Elasticsearch and Flink-CDC capable of indexing and searching billions of records with sub-second latency.
   • Built the underlying real-time data synchronization pipeline, providing a unified data backbone for multiple business units.

6. Enterprise Flink computing Platform

   • Enterprise-level Flink Cluster: Built a unified Flink-based computing center for real-time data lake, stats center, and ETL pipelines.

I believe in continuous learning and sharing knowledge. I write about my journey in software architecture, distributed systems, and AI on my Medium blog.