Thitipat Chaiyakul

NUS Fresh graduate in Computer Science and Entrepreneurship | Certified Microsoft AI Product Manager Specialization | ex-mizuho, accenture, J&J intern

Singapore

About

I build software products where engineering, data, and business decisions converge. As a full-stack and data engineer, I have experience across banks, big tech consultancy, and early-stage startups — delivering end-to-end products from ideation and product strategy to execution and iteration. I’m currently building cvtojd (name TBD), an LLM-powered platform that automates job-specific resume optimization and cover letter generation based on work experience and interests, with an open beta launching soon. Previously, I co-founded UniBridge, where I developed both internal and user-facing systems and gained hands-on experience with early go-to-market strategies, including user acquisition experiments, messaging, and distribution. I’m completing my degree at NUS and looking for full-time roles in software engineering, data engineering, or technical product management. Ideally, I want to work at the intersection of engineering and product, where I can build end-to-end systems, leverage data to inform decisions, and help shape products that deliver real business impact — but I’m also excited to contribute in a strong individual focus role in engineering or product.

Experience

  • Software Engineer (Market Risk Management) at Mizuho
    Jun 2025 - Aug 2025 · 3 mos

    • Designed and deployed an mvp web application (Dash and Flask) that visualizes the balance sheet under Liquidity Stress Testing scenarios—supporting custom input parameters across various tenors and assumptions. • Gained hands-on exposure to various types of risk management frameworks in a bank • Developed a solid understanding of financial products, the bank’s balance sheet structure, and its integration with the cash flow statement. • Led a Python training session for three divisions simultaneously • Engineered and ingested over 5 million rows of daily transaction-level data spanning 5 years— optimized for runtime and memory, while handling complex date/time edge cases using pandas and python. • Uncovers more than 5 new performance metrics previously untracked, enabling deeper insights into customer segmentation and behavioral of time deposit. • Spearheaded analytics strategy for balance sheet optimization, driving data-led decision-making and surfacing actionable insights.

  • Application Designer at Accenture
    May 2025 - Jun 2025 · 2 mos

    • Refactored 100+ Confluence pages programmatically using Confluence API and python, enhancing documentation consistency • Documented and help designed detailed API specifications, including request/response schemas and sequence diagrams

  • Operations Intern at Potico.co.th
    Nov 2024 - Jan 2025 · 3 mos

    • Performed EDA on route optimization data using Python and SQL, identifying inefficiencies and saving 30,000 THB over 8 months. • Took initiative to propose and automated operational expense calculations with JavaScript and Google Apps Script, reducing manual work by 15 hours monthly. • Built SQL queries integrated with Google Sheets, enabling real-time data access for the business unit team. • Restructured data workflows, improving automation and validation for operational reporting using pandas. • Communicate with different data owners frequently to better understand the challenges and nature of the data and operation • Prescreen and conduct phone call to potential candidate • Cold call vendors to negotiate venue prices

  • Software Engineer(Data Science and Machine Learning) at Johnson & Johnson
    May 2024 - Oct 2024 · 6 mos

    • Developed a web application using Express.js, React and Jira Query Language to streamline User Acceptance Testing (UAT) on Jira, reducing more than 10 clicks per test step • Conducted data modeling on supply chain metrics (MAPE, BIAS, Inventory Levels) for the supply chain team • Migrated a high-value internal apps into Databricks seamlessly by creating python scripts that act as an adaptor between Databricks infrastructure and the prior framework • Develop python library that helps reduce learning curve after migration into Databricks • Led feedback session and presentation to iteratively develop the app based on the feedback collected adhering to the agile methodology

  • Business Analyst and Market Researcher at Touch Technologies
    May 2023 - Jul 2023 · 3 mos

    • Developed KPI dashboards using Looker Studio, SQL, and Excel • Built a data app with Retool, JavaScript, and MongoDB for appointment tracking • Conducted market research on AI adoption in healthcare, smart cities, and sports, presenting findings to senior management with potential of incorporation into current product roadmap