Ankur Malik

Hello! I build large-scale platforms that combine data, AI, and real-time decision systems. Currently I serve as VP Engineering, leading teams that design and operate cloud-native systems for fintech, insurance, and other data-intensive industries. I’ve built ML-driven underwriting and fraud systems in fintech, streamlined claims and actuarial models in insurance, and supported AI-driven personalization in e-commerce. I’ve also applied AI/ML to improve operational decision-making in other industries where data and automation can drive measurable impact. My responsibilities include aligning OKRs with C-Suite objectives, steering cross-functional roadmaps, and improving engineering efficiency under strict SLAs/SLOs using SRE and automation practices. I also support IP and patent strategy, helping translate technical ideas into long-term competitive advantage. Over 19+ years, I’ve grown from hands-on development into engineering leadership. At Hudson Data (9+ years), I’ve helped shape technology direction, supported patent ideation, and expanded cloud-native platforms at scale. I work across AWS, GCP, and Azure, building distributed systems using Kubernetes, Docker, and modern micro-service architectures supported by automated CI/CD pipelines, strong security practices, and SOC II compliance. I’ve designed and deployed Generative AI (LLM-based) systems for personalization and decision support while maintaining Responsible AI and explainability standards. I build pipelines that connect data ingestion, model training, deployment, and governance so AI systems can run reliably in production. These systems power real-time underwriting, fraud detection, and recommendation engines, often enhanced with graph analytics to uncover hidden patterns. I’ve also worked with Edge AI where decisions must happen with extremely low latency. On the people side, I focus on