Meng-Che Chiu
Brookline,MA
Summary
Technology intern with extensive experience in technical support, specializing in database management and infrastructure maintenance. Proven track record in developing innovative IT solutions and enhancing project success through efficient troubleshooting and problem-solving. Proficient in Python coding and project coordination, with a focus on meeting customer requirements and improving processes.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Information Technology Intern
China Development Financial
Taipei, Taiwan
07.2022 - 10.2022
- Built ELK-based log data workflow using Logstash, Elasticsearch, Kibana for real-time processing.
- Developed a microservice ML workflow using Docker, MLflow, and sklearn for credit card fraud detection.
Intern
KPMG
Taipei, Taiwan
07.2020 - 08.2020
- Assisted financial statement preparation, inventory management, and client reconciliation.
Education
MS - Information Systems
Northeastern University
Boston, United States11.2025
Skills
- Programming languages: Python, Java
- Database management: SQL
- Cloud services: AWS, Azure, GCP
- Containerization technology: Docker
- Workflow orchestration tools: Airflow
- Data visualization tools: Streamlit
- Infrastructure as code solutions: Terraform, Packer
- Continuous integration tools: GitHub Actions
- Search analytics platform: Elasticsearch
- Data monitoring tools: Kibana, Logstash
- ETL pipeline design and implementation
- Reinforcement learning techniques and RAG
- Natural language processing (NLP) techniques
- Vector database solutions: Pinecone
- DevOps methodologies and practices
- MLOps frameworks and strategies
Projects
1. Cloud-Native Web Application Platform with Automated AWS Infrastructure
• Built a token-authenticated backend with REST APIs, S3 image storage, automated DB migrations.
• Designed full AWS infra using Terraform (VPC, Subnets, RDS, ALB, ASG).
• Built immutable AMIs with Packer and automated CI/CD with GitHub Actions for AMI builds and autoscaling deployments.
2. AI-Driven PDF Pipeline
• Automated PDF ingestion using Airflow and built an AI-driven Q&A; interface for document retrieval.
3. Automated Cloud Research Retrieval System
• Created an end-to-end research tool using Airflow, Pinecone, Docling, and LangGraph for vector search and agent-based Q&A.;
4. Asynchronous Web Crawler
• Built Java multithreaded crawler with BFS traversal and Neo4j for PageRank analysis
Websites
Certification
AWS Certified Cloud Practitioner certification
Timeline
Information Technology Intern
China Development Financial
07.2022 - 10.2022
Intern
KPMG
07.2020 - 08.2020
MS - Information Systems
Northeastern University