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I recently graduated with a Master’s degree in Electrical and Computer Engineering from the University of Waterloo. My career passion lies in high-performance systems and AI inference infrastructure. My academic training and project experience have provided me with a strong understanding of backend development, asynchronous workflows, and system-level performance tradeoffs. I also completed an engineering project evaluating LSTM, SVM, and other models on large-scale user reviews, and developed a multi-threaded C++ solver for graph optimization, deepening my exposure to model inference and system scheduling.…I recently graduated with a Master’s degree in Electrical and Computer Engineering from the University of Waterloo. My career passion lies in high-performance systems and AI inference infrastructure. My academic training and project experience have provided me with a strong understanding of backend development, asynchronous workflows, and system-level performance tradeoffs. I also completed an engineering project evaluating LSTM, SVM, and other models on large-scale user reviews, and developed a multi-threaded C++ solver for graph optimization, deepening my exposure to model inference and system scheduling.

Eugene Liu

Programmer, Developer, Full Stack Developer, +6

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I recently graduated with a Master’s degree in Electrical and Computer Engineering from the University of Waterloo. My career passion lies in high-performance systems and AI inference infrastructure. My academic training and project experience have provided me with a strong understanding of backend development, asynchronous workflows, and system-level performance tradeoffs. I also completed an engineering project evaluating LSTM, SVM, and other models on large-scale user reviews, and developed a multi-threaded C++ solver for graph optimization, deepening my exposure to model inference and system scheduling.…I recently graduated with a Master’s degree in Electrical and Computer Engineering from the University of Waterloo. My career passion lies in high-performance systems and AI inference infrastructure. My academic training and project experience have provided me with a strong understanding of backend development, asynchronous workflows, and system-level performance tradeoffs. I also completed an engineering project evaluating LSTM, SVM, and other models on large-scale user reviews, and developed a multi-threaded C++ solver for graph optimization, deepening my exposure to model inference and system scheduling.

Available to hire

I recently graduated with a Master’s degree in Electrical and Computer Engineering from the University of Waterloo. My career passion lies in high-performance systems and AI inference infrastructure. My academic training and project experience have provided me with a strong understanding of backend development, asynchronous workflows, and system-level performance tradeoffs. I also completed an engineering project evaluating LSTM, SVM, and other models on large-scale user reviews, and developed a multi-threaded C++ solver for graph optimization, deepening my exposure to model inference and system scheduling.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Bashkir

Advanced

Javanese

Advanced

Work Experience

Digital Content & Data Specialist at Multiple IT & Edu Companies

December 31, 2023 - July 31, 2025

Created SQL-based reporting pipelines to track multi-channel social media metrics, enabling data-driven content decisions that led to 30% revenue growth in digital training products. Collected and analyzed user engagement and competitor trend data using Python and web scraping tools. Coordinated cross-functional teams (engineering, QA, product) to support the release of a new software version, ensuring smooth rollout and feedback flow.

Digital Content & Data Specialist at Multiple IT & Edu Companies (Shanghai, China)

December 1, 2023 - September 12, 2025

Created SQL-based reporting pipelines to track multi-channel social media metrics, enabling data-driven content decisions that led to 30% revenue growth in digital training products. Collected and analyzed user engagement and competitor trend data (e.g., training topics, certification demand) using Python and web scraping tools. Coordinated cross-functional teams (engineering, QA, product) to support the release of a new software version, ensuring smooth rollout and feedback flow.

Software Development Engineer at Beirui IT

December 31, 2023 - October 24, 2025

Developed APIs for multi-tenant user/device management, secure remote access, and cross-site networking in the enterprise VPN system, integrating JWT-based authentication to handle user permissions. Designed and optimized PostgreSQL relational schemas, implemented indexed queries for fast filtering, and utilized asynchronous job processing to manage real-time device status and logs. Collaborated with frontend, QA, and DevOps teams under Agile workflow to define API contracts, troubleshoot integration issues, and deploy updates to ensure the stability and scalability of enterprise VPN features. Containerized services using Docker and deployed to Linux servers, configuring cloud infrastructure on Google Compute Engine and integrating environment-based secrets management for secure and scalable deployments. Implemented asynchronous log aggregation pipelines for efficient system monitoring and introduced structured logging to ensure stable performance during high-traffic periods.

Data Engineer at Yunji Edu & Golden Finance

March 31, 2022 - October 24, 2025

Developed backend scripts and lightweight services in Python to collect and normalize large datasets from external APIs and internal systems, adding error handling, retries, and logging for stability. Designed relational schemas and optimized queries in PostgreSQL/MySQL; implemented scheduled ETL jobs with validation layers to ensure data integrity and support downstream applications. Automated data pipelines and deployment workflows with cron and Git/GitHub; introduced unit tests (pytest) and documentation to improve maintainability and enable team-wide collaboration.