Ethan X.
Software Engineer @ MemVerge
About
AI Infrastructure Engineer specializing in cloud-native MLOps, scalable orchestration, and intelligent workload optimization. Experienced in building GPU/CPU auto-scaling systems, high-availability EKS clusters, and agent-centric memory platforms. Bridges deep technical execution (AWS, Kubernetes, Nextflow, Terraform) with research-driven innovation (AI memory, cost efficiency, data pipeline reliability).
United States
San Jose
Computer Software
code agent, AI memory, AI Agents, MCP, Large Language Models (LLM), Systems Design, Redis, Google Cloud Platform (GCP), HashiCorp, Git, Continuous Integration and Continuous Delivery (CI/CD), Memverge, Groovy, Kubernetes, Terraform, docker, Linux, Nextflow Pipelines, TypeScript, Node.js
Experience
Software Engineer
MemVerge
Milpitas, California, United States
Integrated Cline open-source AI coding assistant as a new backend into SWE-bench framework with CLI interface and response parsing for empirical coding agent evaluation.Implemented context window management by integrating LongCodeBench dataset support with tunable context sizes (32K-1M tokens), to evaluate coding agents across different context lengths.
Software Engineer Intern
MemVerge
Milpitas, California, United States
Graduate Teaching Assistant for Cloud Computing and Network Structures
Northeastern University
Boston, Massachusetts, United States
1. Mentored 200 students in navigating Google Cloud architecture, including VPC, Cloud SQL, and security with keyrings; emphasized hands-on experience with serverless technologies and cloud service integration. 2. Led CI/CD instructional workshops utilizing GitHub Actions and HashiCorp Packer for automated builds and taught efficient cloud solution development with pub/sub models and cloud functions for scalability.
Software Engineer Intern
MDI Biological Laboratory
Bar Harbor, Maine, United States
1. Collected RNA-seq data on axolotls from diverse biological experiments, serving as a vital dataset input (> 1 TB). 2. Developed a transcriptome annotation pipeline included 15 nf-core modules using Python and NextFlow as well as designed an innovative subworkflow with a custom insertion, search, sort algorithm to optimize data integration. 3. Deploying stateful workloads on Spot instances with Memverge to achieve up to 80% cost savings on EC2 instances.
Education
Northeastern University
Computer Software Engineering
Syracuse University
Engineering
Ethan X.'s Contact Information
Phone
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