Question 1: Could you introduce yourself and tell us about you? Your current / recent jobs and employers? Previous companies and jobs?
He is a Pre‑Sales Cloud Engineer currently working at XXXX in Malaysia, where he has been employed full‑time since 2024 after starting as an intern. Over nearly three years, he has progressed from cloud engineering into data and AI solutions, focusing on proof‑of‑concepts (POCs) for clients. His work includes end‑to‑end solutioning: engaging with customers to understand problem statements, designing proposals and architectures, coding front‑end and back‑end logic, and delivering demos. He has built AI‑driven solutions such as chatbots and document automation systems, primarily leveraging AWS services like Bedrock and Agent Runtime. His industry exposure spans oil and gas, public sector, insurance, and agriculture, with a strong emphasis on AI and cloud‑based solutions.
Question 2: What skill(s) / experience would you self‑describe as strongest or specialist in?
He identifies his strongest expertise in problem scoping, solution mapping, and AWS‑based AI/cloud implementations. He excels at understanding complex client requirements and translating them into practical solutions using AWS services. His technical skills include building chatbots, document automation workflows, and knowledge base management systems. He has experience with low‑code automation tools such as AWS Step Functions, Zapier, and Make.com, and is comfortable with scripting and workflow automation. He emphasizes his ability to bridge technical and client‑facing responsibilities, having delivered POCs with strong conversion rates to production.
Question 3: Do you have the lists of key criteria’s according to the clients’ requirements?
He has nearly three years of pre‑sales experience, including SaaS and document automation solutions, and has contributed to building proprietary IP for knowledge base management at XXXX. He was one of the founding members of the GenAI team in Malaysia, helping generate over USD 200K in deals within six months, with an 80% prospect‑to‑POC conversion rate and 10–15% POC‑to‑production success. Open to APAC‑wide roles, he is motivated to grow his career in pre‑sales engineering, focusing on cloud, AI, and ECM solutions.
