Jiacheng Shen

Software Development Engineer @ Geek+

About

🔥Backend Software Engineer focused on scalable enterprise and SaaS systems. 🔥Experienced in building high-performance backend services and data-intensive platforms using Java, Redis, and MySQL, with hands-on work in distributed systems, system design, and CI/CD workflows. 🔥Improved query performance for large-scale enterprise data environments and built solutions that support reliability, extensibility, and operational efficiency.

Country

United States

City

Suwanee

Industry

Computer Software

Skill

Celery, RabbitMQ, Apache Kafka, WebSocket, Elasticsearch, Ceph, Distributed Systems, File Management, Microsoft SQL Server, Java Concurrency, Spring Framework, Redis, Microsoft Azure, Graph Neural Network, Machine Learning, MySQL, MongoDB, REST APIs, Maven, Docker

Experience

Software Development Engineer

Geek+

2025-7 - Present · 1 yr 3 mos

Atlanta, Georgia, United States

Research Computing Facilitator

Rice University

2024-4 - 2025-7 · 1 yr 4 mos

Houston, Texas, United States

Responsible for development, deployment, and code refactoring of a dynamic, web-based dashboard for visualizing computing resource usage, serving 200+ campus users. Participate in upgrade of transmission layer of the campus storage.

Software Developer Intern

Affekta

2024-5 - 2024-8 · 4 mos

Engaged in serverless development of an online code judgement microservice with high scalability and low latency, supporting Java and Python, leading to monthly course enrollment to over 400. Utilized Java concurrency, dynamic programming, and Redis-based Azure Cache to improve system response time from 300ms to 100ms.

Software Developer

Shanghai Amarsoft Information Technology Co., Ltd.

2023-3 - 2023-9 · 7 mos

Suzhou, Jiangsu, China

Data Science Intern

Orna Therapeutics

2022-9 - 2023-3 · 7 mos

Boston, Massachusetts, United States

Collaborated with team of 3, implementing the the company's first RNA prediction pipeline powered by Graph Neuron Network for over 30,000 RNA samples, improving RNA screening efficiency by 26%. Worked with people from biotech backgrounds defining Python-based RNA objects for structured analysis and visualization.