Sengwei Yeoh
Full Stack Developer & Graduate Teaching Associate
Professional Summary
Masters graduate in Computer Science and Engineering at The Ohio State University with professional experience as a full stack developer and graduate teaching associate. Led enhancements of enterprise mobile platforms, resolved complex performance and security issues, and guided students in assembly design for 3D engineering projects. Passionate about building scalable web and mobile applications and exploring advanced machine learning techniques for innovative solutions.
Work Experience
Graduate Teaching Associate
The Ohio State University | 2023 – Present
- Guide students on assembly design using OnShape for the creation of detailed 3D models for engineering projects.
Cloud Systems Engineer / Full Stack Developer
Hitachi eBworx | 2021 – 2023
- Administered and maintained production Linux environments (Ubuntu/RHEL), optimizing kernel parameters and system-level configurations to ensure 99.9% uptime for mobile point-of-sale platforms.
- Tuned SQL backend performance by optimizing complex queries, indexing strategies, and relational data handling, significantly reducing latency and increasing transaction throughput.
- Engineered secure API integrations and cloud-synced pipelines, automating the promotion of application builds across dev, staging, and production environments via CI/CD.
- Resolved critical production stability issues by diagnosing and fixing memory leaks; implemented structured logging and Prometheus-style monitoring for proactive reliability.
- Strengthened platform security by integrating OpenID Connect with JWT and implementing salted password hashing for hardened offline access.
Software Engineering Intern
Hitachi eBworx | 2020 – 2021
- Tested end-to-end API integrations and supported the rollout of Singapore's MyInfo API into enterprise applications.
- Collaborated with business analysts to identify requirement gaps and ensure feature alignment with client stakeholders.
Projects
Cloud Infrastructure Automation
2024
Provisioned full-stack cloud infrastructure as code (IaC) using Terraform for reproducibility. Automated CI/CD workflows for secure deployment and CloudFront cache management; secured site with ACM TLS certificates.
Novalto (Kubernetes Operations & Web Platform)
Sept 2024 – Present
Orchestrated containerized GPU workloads on RunPod, managing infrastructure for fine-tuning Large Language Models. Integrated Prometheus metrics and Grafana dashboards to monitor training job latency and system-wide performance.
GraphForge (Edge Computing)
Apr 2024 – Aug 2024
Developed Android application leveraging cloud+edge integration to digitize D&D maps. Applied MVVM architecture, SQLite persistence, and on-device image pre-processing with Google’s ML Kit.
Robust Motion Tracker
Aug 2023 – Oct 2023
Created a robust motion tracker employing normalized cross correlation (NCC) and covariance tracking techniques that adaptively select between them to find the best match of a tracked object.
Dynamic Branch Predictor
Sept 2023 – Nov 2023
Implemented a piece‑wise linear branch predictor achieving a mis‑prediction rate of only 5.3 % with a predictor size of 64 KB.
Education
Master of Science in Computer Science and Engineering (in progress)
The Ohio State University | 2023 – Dec 2025
Relevant Coursework: Mobile App Development, Computer Vision, Cybersecurity, Algorithms, Computer Architecture, Network Security, Programming Languages, Data Mining.
Bachelor of Computer Science in Software Engineering
Universiti Tun Hussein Onn Malaysia | 2017 – 2021
Graduated with honours.



