cv

This page is not regularly updated. If you need a more recent CV, please contact me via email. Cheers!

Basics

Name Sippakorn Saeiao
Label Engineering Manager
Email sippakorn.saeiao@gmail.com
Phone (+66) 85-785-7349
Url https://sippakorn.sippbot.io/
Summary Software engineer with over ten years of experience developing robust, secure, high-throughput, and highly available systems for the financial and insurance industries. I am passionate about designing and implementing a high-quality, performance-oriented solution architecture for mission-critical systems. My experience spans the entire software development life cycle (SDLC), including ten years in design and development, five years in automated testing, and two years in delivery toolchain enablement. Besides technical skills, I have acquired additional skills in people management, process improvement, change management, effective communication, and public speaking.

Work

  • 2023.06 - Present
    Engineering Manager - Claims and Operations
    Liberty Mutual Insurance Group (LMG Insurance PLC.)
    Manage three squads during the past year to successfully deliver four initiatives, including PubAPI migration, External Surveyor Portal, Hospital Portal, and DMS performance enhancement. Design and develop solutions that serve business unit demands, including analyzing functional requirements, modeling architectures using C4 diagrams, conducting threat modeling, performing privacy impact assessments, and authoring technical documents.
    • Software Project Management
  • 2022.05 - 2023.05
    Senior Full-stack Developer & Technical Owner of DASH - INODIS
    Allianz Technology (Austria)
    Designed and developed delivery toolchains to enable development teams to manage software releases and stages, resulting in a saving of EUR150 per user per month.
    • Software Engineering
  • 2021.06 - 2022.04
    Senior Full-stack Developer & Team Lead - T&P
    Allianz Technology (Thailand)
    Oversaw a team of two developers and two automation QA engineers working on automated test portfolio development.
    • Software Engineering
  • 2019.01 - 2020.12
    Advanced Full-stack Developer - Allianz Partners RSA
    Allianz Technology (Thailand)
    Developed a roadside assistance system (RSA), which included a mobile application, web application, and microservices API fully integrated into the global assistance business core system (ABS). Committed to tasks, including clarifying the scope of tickets, data modeling, coding, unit testing, and reviewing code.
    • Software Engineering
  • 2016.02 - 2018.12
    Software Engineer - Time Series Data
    Refinitiv (Thomson Reuters)
    Developed the ETS Interday, a modernized historical time series web service that reduces operation and licensing costs while maintaining excellent software quality and enhancing performance, resulting in lower response time and higher TPS. Maintained product quality and handled change requests of Time Series Interface DLL (TSI6 and TSI7 written with C++ and C#, respectively), the primary workers getting historical data from the data platform in Eikon Desktop.
    • Software Engineering

Education

  • Jun 2010 - Mar 2014

    Bangkok, THAILAND

    B.Eng
    King Mongkut's Institute of Technology Ladkrabang (KMITL)
    Information Engineering
    • Electrical Engineering and Computer Science

Awards

  • 2018
    Finalist
    Thomson Reuters
    Thomson Reuters IoT Innovation Challenge
  • 2008
    First runner-up
    Center of European Studies at Chulalongkorn University
    Web Design Competition for CES at CU

Certificates

Skills

Programming Languages
C/C++/C#
Java
Python
PHP
JavaScript (ES8)
TypeScript
Tech Stacks
Angular
React
Node.js (Express/Nest.js)
.NET Core
Spring Framework
Laravel
HTML
CSS
Development Tools/Practices
Git
MVN
JIRA/Confluence
TDD
SOLID
SOAP
REST
Reactive Microservices

Languages

Thai
Native speaker
English
Fluent

Interests

Software Engineering
Software architecture
Clean Code
Test-Driven Development
System Programming
High-frequency Trading
Computational Learning Theory
Interpretibility
Machine Learning
Model-agnostic

References

Up on request