# Emily Loh > SWE @ eGain | Passionate About People-Focused Tech in AI Location: San Jose, California, United States Profile: https://flows.cv/emilyloh Hello! I’m Emily Loh, a Computer Science and Engineering graduate from UC Davis, now working full-time in the tech industry. My role allows me to explore new ideas, solve complex challenges, and get hands-on with the latest tools and trends shaping the field. I’m passionate about creating impactful technology—whether it’s developing AI solutions that empower individuals or building data-driven tools that improve business outcomes. My work is guided by a drive to solve problems, enable growth, and make a difference both directly and behind the scenes. Let’s connect! I’d love to exchange ideas, share knowledge, and collaborate on innovative projects that make a difference. ## Work Experience ### Software Engineer @ eGain Corporation Jan 2025 – Present - Owned the full lifecycle of the eGain MCP, leveraging OpenAPI specs, internal APIs, and TypeScript from initial exploration through iterative development and release. - Implemented user-friendly OAuth 2.0/PKCE authentication flows, balancing developer and non-technical user needs. - Conducted hands-on QA using Postman and internal testing environments, driving UX improvements and product stability through continuous feedback and rapid iteration. - Authored intuitive documentation and guides to support both customers and internal teams. - Managed NA–India coordination for the self-service product, proactively clarifying requirements, anticipating follow-ups, and aligning details to reduce development delays. - Led Jira management, bug prioritization, and progress tracking, contributing fixes or minor features when needed to support teams through blockers across multiple products. ### Solutions Analyst @ eGain Corporation Jan 2025 – Jan 2025 - Diagnosed and resolved issues in enterprise AI systems by analyzing logs, tracing performance, and debugging misconfigurations - Collaborated with engineering, product, cloud, and QA teams to reproduce issues, document clear technical narratives, and drive resolution workflows through Jira - Improved triage efficiency and product reliability by building AI tools to optimize internal support efforts ### Full-stack Developer @ UC Davis Health Jan 2024 – Jan 2024 - Modernized legacy code of 13k lines in Python 2.5 to a web-based application using ReactJS, improving accessibility for patients and maintainability for developers of the SATURN cognitive screening test. - Used DynamoDBandAmplify for secure data handling, ensuring compliance with privacy regulations using non-PII and controlled access to test results. - Deployed on AggieCloud, streamlining access to the SATURN test on a public domain for healthcare professionals and patients. ## Education ### Bachelor of Science in Computer Science and Engineering University of California, Davis ### High School Diploma in Regular/General High School/Secondary Diploma Program Independence High School ## Contact & Social - LinkedIn: https://linkedin.com/in/emilyjxloh - Portfolio: https://extraordinaryemily.github.io - GitHub: https://github.com/extraordinaryEmily --- Source: https://flows.cv/emilyloh JSON Resume: https://flows.cv/emilyloh/resume.json Last updated: 2026-04-11