# Tianqi Zhang > Staff Infrastructure and Platform Engineer at QuiverAI Location: Greater Boston, United States Profile: https://flows.cv/tianqizhang 7 years of industry experience specializing in large-scale backend systems and cloud infrastructure. Experienced in building and optimizing distributed services and databases, improving performance under high load, and strengthening production reliability. Strong background in system design, performance engineering, and cross-functional collaboration to deliver customer-impacting features at scale. ## Work Experience ### Staff Infrastructure and Platform Engineer @ QuiverAI Jan 2026 – Present ### Software Engineer II @ Klaviyo Jan 2023 – Jan 2026 | Boston, MA • Designed and maintained high-throughput analytical services built on gRPC, ClickHouse, AWS, and Kubernetes, supporting complex SQL generation for customer-facing analytics and reporting queries. • Led query optimization, benchmarking multiple execution strategies and resource configs; improved critical analytics query 5.7x faster and reduced memory usage by 2x under the same concurrent load. • Developed a query performance testing framework and production-like load testing infrastructure (Locust + synthetic workloads) to validate performance at scale before release. • Delivered async service clients and concurrency improvements; achieved ~2x throughput gains. • Implemented and productionized customer-facing analytics features: multi-touch attribution, conversion reporting, portfolio reports, and cohort reporting. • Designed and implemented automated integration tests in CI pipelines to validate end-to-end service behavior (gRPC APIs, SQL generation, and query correctness), significantly reducing production regression risk and improving release confidence. • Built Airflow DAG pipelines to automate data warehouse hygiene and lifecycle management. • Led incident mitigation and reliability engineering, including large-scale data cleanup (300M+ rows) in distributed ClickHouse clusters, EBS volume upgrades, dashboards, alerting, and operational runbooks. ### Senior Software Engineer @ Learnable, Inc. Jan 2022 – Jan 2023 • Collaborated with machine learning engineers to integrate deep learning inference pipelines into web services with AWS, such as EKS, Lambda, S3, SQS, RDS and ElastiCache, making them production-ready. • Led a project of building a web application as an internal tool that significantly improved data operation efficiency for the Data team by 3x. Responsible for designing the user interactive logic with two front-end engineers, setting a timeline and milestones, and developing the backend system of the application with Python Flask. • Refactored the architecture of a core AI service by converting a monolith into microservices, improving scaling performance by 2x on Kubernetes. • Designed and implemented a CI testing architecture to prevent blocking among multiple services’ end-to- end tests, increasing developer productivity. ### Software Engineer @ Learnable, Inc. Jan 2019 – Jan 2022 | Boston, Massachusetts, United States • Designed and implemented backend machine learning web APIs for computer vision web services with Python Django, MySQL, RabbitMQ, AWS ECS and S3. • Refactored cloud deployment architecture, making AI services capable of handling the same throughput with lower cloud computing cost by over 10%. • Implemented Gitlab CI/CD pipelines to do integration tests, Docker containerization and deployment of different environments on AWS ECS. • Maintained and monitored service health through AWS CloudWatch metrics, logs and alarms. ### Data Engineer Intern @ Learnable, Inc. Jan 2018 – Jan 2019 | Boston, Massachusetts Built data pipelines to perform ETL in Python, including large-scale data processing and loading into a cloud data warehouse with a self-designed schema for deep learning model training. ### Data Scientist Intern @ Placelogix Jan 2018 – Jan 2018 | Newark, Delaware Analyzed geo-data and developed statistical models to create unique scores for different locations, providing business insights to clients. ## Education ### Master of Science (M.S.) in Electrical and Computer Engineering University of Massachusetts Amherst ### Bachelor of Science - BS in Electrical Engineering Southwest University of Science and Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/zhangtq --- Source: https://flows.cv/tianqizhang JSON Resume: https://flows.cv/tianqizhang/resume.json Last updated: 2026-03-28