Question 1: Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
He is currently working with XXXX in Singapore as an Integrated Digital Delivery Engineer (AI Engineer), focusing on digital transformation projects in the construction and infrastructure industry. Over the past year, he has developed several AI‑driven solutions, including a facilities management bot integrated with Telegram and a web portal, an AI bot for managing access to multiple construction applications, and an AI agent that collects site activity data from WhatsApp group chats to generate dashboards for project directors. His role combines technical development with stakeholder engagement, requiring him to evaluate external software vendors, recommend solutions, and train users across departments. He previously completed projects during his studies such as an AI diet consultant application and an automatic car assistant system, and later earned a Master’s degree at XXXX, where he partnered with industries and government agencies on analytics and AI projects.
Question 2: What skill(s) / experience would you self‑describe as strongest or specialist in?
He identifies his strongest expertise in AI implementation, workflow automation, and full‑stack development with AI. He is proficient in building end‑to‑end solutions such as web applications, bots, and custom AI agents, leveraging AWS for cloud, Python for coding and analytics, JavaScript, Go, and SQL for databases. He has hands‑on experience with microservices, APIs, Docker, Kubernetes, and low‑code automation tools like UI Path, which he used to reduce processing times from one week to one day during an internship.
Question 3: Do you have the lists of key criteria’s according to the clients’ requirements?
He has around two years of accumulated experience in AI engineering and data science, including internships, and is actively seeking career growth into senior positions. He has relevant exposure to enterprise content management concepts through SaaS platforms in construction, extensive experience in workflow automation, and ERP‑like integrations using Autodesk Forma and other industry tools. His background in scripting, cloud deployment, and AI solution pitching makes him well suited for enterprise software pre‑sales roles that require both technical depth and consultative communication.
