BACKEND SYSTEMS & AI AGENTS

Charles Chi Le 乐驰

Backend & AI Agent Engineer

I build reliable cloud platforms and practical AI agents. My work spans Elasticsearch infrastructure, agent development, and backend systems at Alibaba Cloud, ByteDance, and Meituan.

A Duke University M.Eng. graduate and open-source contributor, I enjoy turning complex systems into useful, dependable software.

Charles Chi Le in graduation attire
Duke M.Eng.
Zhejiang B.Sc.
16,000+Cloud instances inspectedAlibaba Cloud · ~99.9% success rate
20M+Orders monitored dailyByteDance · billing accuracy
2,000 QPSRetrieval API capacityMeituan · increased from 500 QPS

Experience

Alibaba Cloud 阿里云

Java Backend & Agent Engineer

Computing Platform Division · AI Search Cloud Platform

  • Elasticsearch PaaS & health events. Built control-plane capabilities across events, monitoring, inspections, and agents. Connected monitoring, log ingestion, and anomaly detection to generate about 1,500 health events per week across 400+ instances.
  • ES Agent. Integrated authorization, tools, knowledge bases, and Skills for diagnostics, data insights, and instance management. Serves 150+ users and answers 2,000+ questions monthly.
  • Intelligent inspections. Built Agent-first inspections with rule-based fallback, covering 16,000+ instances at approximately 99.9% success, with scheduled execution and structured reports.
  • Skill evaluation & improvement. Built evaluation and iteration workflows across 12 fault scenarios, raising scores from about 40% to nearly 90%. Distilled 19 reusable Skill lessons from 541 cases, with human review before release.

ByteDance 字节跳动

Backend Engineering Intern · Go

Global E-commerce · Funds Center

  • Built configurable billing workflows, reducing development time for standard requests from 4 to 0.5 person-days. Developed Elasticsearch and Hive dashboards to monitor more than 20 million orders daily.
  • Used RocketMQ and EaseJob to retry failed settlement tasks, improving billing–settlement consistency within SLA from 80% to 99.99%+. Developed MySQL–Elasticsearch consistency checks.

Meituan 美团

Backend Engineering Intern · Java

Core Local Commerce · Search Advertising

  • Developed search-ad serving logic for pharmaceutical brands, including CPT/CPM sales logic and merchant/brand billing.
  • Optimized an inverted-index retrieval API from 500 to 2,000 QPS, reducing tail latency from 181.9 ms to 24.7 ms. Compared traffic allocation and significance reporting across A/B experiment platforms.

Education

Duke University

M.Eng. in Electrical and Computer Engineering
Software Development

Aug 2023–Dec 2025GPA 4.0 / 4.0

Zhejiang University

B.Sc. in Biomedical Sciences
Bioinformatics

Aug 2019–Jun 2023GPA 3.82 / 4.0

Open source

Go database development · Aug–Dec 2024

Developed an LLM-based secondary index supporting document chunking, embeddings, and vector-based RAG through dynamically created SQL tables.

Read pull request #18809

ModelCache

Repository

LLM backend components · Oct–Dec 2024

Contributed a reranker module, additional embedding models, and migration to the FastAPI framework.

Explore the project

Tools I work with

Languages

Java · Go · Python · C/C++ · SQL

Backend & infrastructure

Elasticsearch · MySQL · Redis · Spring · Linux · Git · Kubernetes

AI & development

Agent development · RAG · PyTorch · GDB

Always learning, always building.

This notebook is where I keep my computer science course notes, programming practice, and engineering discoveries.