Matthew Evan Taruno

Software Engineer | Applied Scientist | Machine Learning Engineer

Amazon SDE Intern 2025

Education

University of Washington

Sep 2023 – June 2026

Masters of Science in Technology Innovation, Robotics Track

Dual Degree Program

Tsinghua University

Sep 2024 – June 2026

Masters of Science in Data Science & Information Technology

Dual Degree Program

University of Rochester

Graduated 2021

Bachelor of Science in Data Science

Minor in Business

Work Experience

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Software Development Engineer Intern

Amazon

Bellevue, WA | June 2025 – Present

  • Architected and deployed a new event-driven data pipeline (SNS → SQS → Lambda → DynamoDB) using CloudFormation and cross-VPC PrivateLink network infrastructure in Java, optimizing for cost, efficiency, and simplicity to process millions of daily events and achieve an > 80% reduction in infrastructure costs.
  • Led the elimination of over 100B unused database entries by designing a more accurate data model and event source, directly improving the performance of downstream item classification systems.
  • Authored a comprehensive low-level design (LLD) document analyzing system trade-offs, establishing a validation framework for the Beta rollout, and defining a robust rollback strategy for production stability.

Software Engineer Intern

Zhipu.AI

Dec 2023 - July 2024

  • Developed and researched software engineering agents (based on SWE-Agent and Agentless) on top of GLM family of models. Ran experiments and benchmarks to improve model software engineering performance.
  • Curated a 250+ entry benchmark dataset from 10 open-source repos for internal RAG evaluation.
  • Collaborated with engineering and product teams, providing key feedback on user experience to extend the CodeGeeX assistant's repository-level query understanding; leveraged retrieval algorithms, chunking, and in-context learning, achieving normalized top-K file retrieval accuracy of 35-50% as baseline performance.
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Solutions Architect

Alibaba Cloud

Mar 2022 – July 2023

  • Pre-sales consultant, trainer, and support engineer for cross-functional teams of engineers, business development, clients, and partners, directing the design and implementation of big data and AI initiatives for over 60 companies across fintech, airlines, logistics, and government sectors in Southeast Asia.
  • Led key initiatives: Building OLAP data warehouse on cloud, data management and governance with DataWorks, cloud transactional database management, Hadoop ecosystem, real-time sync with Flink, cost/performance optimization, recommendation engine, and LLM integration with vector databases.
  • Served as community public speaker in the tech industry (ACCI, Go Startup program, etc.) and academia (ITB, STIKOM, UGM, and ITATS) across Indonesia, in 30+ events and 2000+ participants.

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