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Design and scale RAG pipelines that turn IT logs and docs into vector embeddings, maintain high-performance vector databases, and build semantic layers for AI agents.
Build and lead production-grade conversational AI agents using LLMs, RAG, and guardrails, while owning the full stack and cloud infrastructure in a hands-on leadership role.
Design, build, and deploy AI-driven solutions including generative ML apps with LLMs, LangChain, and vector databases, and optimize end-to-end ML pipelines on AWS.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
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.
Build and own the AI layer for Elderwise, fine-tuning LLMs to convert caregiver notes into clinical documentation, with embeddings, RAG, and evaluation systems for accuracy and safety in healthcare.
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.
Lead end-to-end AI initiatives, designing and deploying ML/GenAI solutions to accelerate product development and innovation in a large-scale engineering environment.
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.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Build and lead a production-grade conversational AI system using LLMs, RAG, and guardrails; own the full stack, infrastructure, and security for a live AI agent answering user queries.
Lead the AI data infrastructure for Grab’s Integrity team, building vector databases, multi-agent orchestration, and proactive guardrails to power autonomous risk-detection systems in real time.
Design and deploy ML, GenAI, and predictive models using Python, LLMs, RAG, and cloud AI platforms to drive business growth and customer experiences.
Designs and builds AI/ML models and agentic systems to automate workflows, enhance client engagement, and drive decision-making across retail, marketing, and operations using Python, LLMs, and cloud platforms.
Builds and deploys ML models, GenAI apps, and predictive systems using Python, LLMs, RAG, and cloud AI platforms to drive business growth and customer experience.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Data Engineer to build and maintain AI evaluation frameworks for Singapore’s public-sector digital initiatives, focusing on NLP, generative AI, and responsible AI practices.
Lead a team building AI-powered data pipelines, vector databases, and multi-agent orchestration for fraud detection and risk mitigation at a large-scale platform.
Build and maintain backend systems for an AI-powered fintech assistant, focusing on inference pipelines, model orchestration, and scalable APIs using Python and cloud-native tools.
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
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