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Build autonomous AI agents and automation pipelines for an FMCG enterprise, integrating LLMs with enterprise systems using RAG and Azure AI tools to handle pricing, sales, and operations workflows.
Build AI agents and automations for a marketing agency, integrating tools like HubSpot and Instagram to streamline workflows and generate proposals.
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 deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Build and deploy AI-powered software solutions, integrating ML models (PyTorch/TensorFlow) with full-stack development in Python and cloud platforms like Azure.
Build and maintain a production AI-powered internal chat assistant using full-stack web tech (React, Spring Boot/Java) to boost staff productivity across a Singapore government agency.
Build and maintain AI Agent applications using LLMs for intelligent Q&A, task planning, and workflow automation in energy-storage systems.
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.
Lead deployment and optimization of GenAI and Agentic AI pipelines, ensuring scalable, compliant operations through automation, monitoring, and governance across 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.
Build and deploy AI, data pipelines, and analytics solutions for enterprise clients in APAC, bridging business needs with production-ready GenAI and data platforms.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Build and maintain a global analytics platform integrating data from multiple sources, with AI agents for natural-language querying and automated insights generation using Java and distributed systems.
Build and deploy Python ETL pipelines, AI agent workflows, and cloud infrastructure to transform maritime data into actionable insights for the global shipping industry.
Build and scale enterprise-grade AI Agent systems, focusing on RAG, tool-calling, and multi-agent collaboration for intelligent automation workflows.
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
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