Open to opportunities

Liu J

@liuj

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Aspiring software engineer with expertise in data processing and automation.

United States

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What I'm looking for

I seek a dynamic role that fosters growth, innovation, and collaboration in software development.

I'm a dedicated software engineer currently pursuing a Master of Science in Computer Science at Northeastern University, where I maintain a GPA of 3.96. My experience spans various roles, including software engineering co-op at Method AI, where I enhanced an image capture tool and developed a DICOM image pipeline. My technical skills include proficiency in C++, Python, and AWS, which I leverage to streamline workflows and improve operational efficiency.

Previously, I worked at Bosch and SKF, where I spearheaded data handling and automation projects that significantly improved processing times and customer satisfaction. My projects, such as a scalable ticketing system and a dating app, showcase my ability to design robust architectures and implement efficient data pipelines. I am passionate about using technology to solve complex problems and drive innovation in software development.

Experience

Work history, roles, and key accomplishments

Software Engineering Co-op

Method AI

Jun 2024 - Jul 2024 (1 month)

Contributed to the development of an image capture tool and a DICOM image pipeline, enhancing workflow efficiency and supporting algorithm development. Implemented an automated build system and validated compatibility with Linux systems.

C++Python AWS SQLAlchemy GitHub Actions Docker CMake Linux Git

Project Developer

Independent

Dec 2023 - Jan 2024 (1 month)

Developed a scalable ticketing system and a dating app, implementing microservices architecture and ensuring high availability and performance through robust CI/CD pipelines and cloud deployment.

Kafka Google Kubernetes Engine React AWS RabbitMQ Java CI CD Microservices Event Driven Architecture

Data Architect

SKF

Jul 2021 - Jan 2022 (6 months)

Optimized data workflows and automated KPI dashboard generation, significantly improving operational efficiency and data processing speed. Designed robust data pipelines for enhanced scalability.

Python Pandas NumPy PostgreSQL Apache Spark Data Pipelines Automation Data Analysis

Software Engineer

Bosch

Aug 2020 - Jul 2021 (11 months)

Led data handling and automation efforts in supply chain planning, utilizing Python and Kafka to enhance data processing and customer satisfaction. Executed ETL tasks with Apache Spark for improved efficiency.

Python Apache Spark Apache Kafka AWS Data Mining ETL Automation Data Processing Supply Chain Management

Education

Degrees, certifications, and relevant coursework

Northeastern University

Master of Science, Computer Science

2022 - 2025

Grade: 3.96/4.0

Activities and societies: Teaching Assistant for Data Structures, Algorithms, and Computer Systems (C++)

Pursuing a Master of Science in Computer Science with a GPA of 3.96/4.0. Serving as a Teaching Assistant for courses in Data Structures, Algorithms, and Computer Systems (C++) during the Summer and Fall of 2023, and Spring of 2024.