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Build and own TikTok’s search engine using ML, NLP, and multimodal systems to power AI-driven conversational search and personalized results.
Research and develop multimodal large language models (VLMs) to improve video and code understanding for TikTok’s content and R&D workflows.
Build and maintain the data platform powering payments analytics and AI-driven features, including pipelines, storage, and self-serve tooling for analysts and product teams.
Builds and optimizes large-scale data pipelines and storage systems for TikTok’s recommendation engine using Java, Spark, Flink, and Kafka.
Build and deploy scalable AI systems (Generative AI, NLP) end-to-end, ensuring production quality and mentoring junior engineers in Singapore.
Build AI-driven cybersecurity tools using LLMs and Python to automate threat detection, vulnerability analysis, and compliance workflows for connected devices.
Build AI-driven healthcare web apps using Vue.js, TypeScript/Python, and agentic orchestration systems to streamline hospital workflows and improve clinical data efficiency.
Designs and builds AI models and algorithms, trains ML systems, and integrates AI features into products.
Build and optimize large-scale recommendation system architectures using big data tools like Spark and Flink to process and analyze user data for TikTok’s AI-driven content feeds.
Build and maintain scalable data pipelines and AI systems using Python, SQL, NLP, and LLM technologies to support data-driven decision-making and GenAI solutions.
Designs offline data architectures and scalable storage/compute systems for TikTok’s e-commerce recommendation and search infrastructure, optimizing pipelines for ML feature generation.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Design and implement AI evaluation, orchestration, and verification workflows for a high-assurance agentic AI platform used in regulated industries.
Lead a new Singapore-based applied AI team to build production-grade generative AI and ML solutions for BNY’s enterprise platform, Eliza, from problem framing to deployment and governance.
Build and deploy LLM-powered and agentic AI systems for healthcare, including RAG pipelines, multi-agent orchestration, and clinical decision support tools.
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Build and maintain Google’s data infrastructure for Payments, designing pipelines and tooling to ensure reliable, scalable data access for product and analyst teams.
Build and deploy AI features like LLMs and predictive models, writing clean Python code and collaborating with cross-functional teams in a fast-paced startup.
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