AI-focused software engineer with hands-on experience building production-grade machine learning and NLP systems. I’ve worked on AI-driven incident management platforms, predictive models, retrieval-augmented assistants, and conversational chatbots that help automate decision-making and reduce manual effort at scale.
My background spans LLMs, classical ML, and data engineering, including low-latency prediction models, Spark-based ETL pipelines on Databricks, Kafka-driven event workflows, and backend services that integrate ML into real business systems. I enjoy working at the intersection of model development, data pipelines, and real-world product integration.
I’ve completed a Master of Computing (Artificial Intelligence) at the National University of Singapore and am actively seeking opportunities in ML Engineering, AI Engineering, Data Science, and Applied NLP, where I can build reliable, scalable, and impactful AI solutions.
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