Hello! I'm Jawad, an Engineer/ Builder/ Leader with over 15 years of experience crafting and scaling AI and machine learning solutions across the ride-hailing, finance, and enterprise sectors. My passion lies in building high-performing technical teams and driving real-world business impact through AI innovation.
Currently, at Singapore’s Home Team Science and Technology Agency (HTX), I lead the AI Platform team, where we focus on designing and implementing scalable AI inference infrastructure. My work involves advanced optimization techniques to deploy large-scale language model (LLM) services, enabling enterprise applications to integrate powerful predictive AI capabilities.
My Journey
My career has been a journey through the evolving landscape of data and AI. As a founding engineer at Cleric, I architected an LLM-powered SRE automation platform from the ground up. At Gojek, I led the mobility data division, overseeing critical systems like ride-matching, dynamic pricing, and logistics for one of Southeast Asia’s largest platforms. It was there I spearheaded initiatives that improved unit economics by 15% and built the multi-objective optimization engine that boosted completed bookings by up to 10%.
Core Expertise
- AI & Machine Learning: LLM-based RAG systems, LLMOps, multi-agent architectures, deep learning, NLP, and recommendation systems.
- Data Engineering & Infrastructure: Building scalable ML platforms using Airflow, Spark, Kafka, Kubernetes, and event-driven architectures.
- Data Science & Analytics: Causal inference, A/B testing, statistical analysis, and multi-objective optimization.
Teaching & Education
I’m passionate about teaching data science and currently serve as the lead instructor for the “Advanced Professional Certificate in Data Science and AI” program at Nanyang Technological University, Singapore. This comprehensive program equips professionals with practical skills in data science and artificial intelligence, preparing them for real-world challenges in the field. Learn more about the course.
Let’s Connect
I’m always open to discussing new ideas in AI, MLOps, and scalable system design. Feel free to connect with me on LinkedIn or Twitter.
Selected Talks & Publications
- LLM Inference from Jupyter to Production - Data Innovation Summit APAC - 2025
- Designing Agentic Systems: Lessons learned from the Trenches - 2024
- Scaling Ride-Hailing with Machine Learning on MLflow - SPARK AI Data Summit, San Francisco 2019
- Goh, Yang Miang, and Mohamed Jawad Askar Ali. “A hybrid simulation approach for integrating safety behaviour into construction planning: An earthmoving case study.” Accident Analysis & Prevention (2015).