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I am an AI Engineer focused on agentic AI, multi-agent orchestration, and LLMOps, delivering scalable AI solutions that blend computer vision, robotics, and Generative AI to automate tasks and unlock value for businesses. In my work, I design RAG pipelines, MCP servers, and autonomous workflows, continually refining prompts, tool usage, and reflection patterns to improve reliability and speed. I thrive in collaborative settings across cross-disciplinary teams and love turning ambitious ideas into robust, production-ready systems.…I am an AI Engineer focused on agentic AI, multi-agent orchestration, and LLMOps, delivering scalable AI solutions that blend computer vision, robotics, and Generative AI to automate tasks and unlock value for businesses. In my work, I design RAG pipelines, MCP servers, and autonomous workflows, continually refining prompts, tool usage, and reflection patterns to improve reliability and speed. I thrive in collaborative settings across cross-disciplinary teams and love turning ambitious ideas into robust, production-ready systems.

Smith SS

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI Engineer focused on agentic AI, multi-agent orchestration, and LLMOps, delivering scalable AI solutions that blend computer vision, robotics, and Generative AI to automate tasks and unlock value for businesses. In my work, I design RAG pipelines, MCP servers, and autonomous workflows, continually refining prompts, tool usage, and reflection patterns to improve reliability and speed. I thrive in collaborative settings across cross-disciplinary teams and love turning ambitious ideas into robust, production-ready systems.…I am an AI Engineer focused on agentic AI, multi-agent orchestration, and LLMOps, delivering scalable AI solutions that blend computer vision, robotics, and Generative AI to automate tasks and unlock value for businesses. In my work, I design RAG pipelines, MCP servers, and autonomous workflows, continually refining prompts, tool usage, and reflection patterns to improve reliability and speed. I thrive in collaborative settings across cross-disciplinary teams and love turning ambitious ideas into robust, production-ready systems.

Available to hire

I am an AI Engineer focused on agentic AI, multi-agent orchestration, and LLMOps, delivering scalable AI solutions that blend computer vision, robotics, and Generative AI to automate tasks and unlock value for businesses.

In my work, I design RAG pipelines, MCP servers, and autonomous workflows, continually refining prompts, tool usage, and reflection patterns to improve reliability and speed. I thrive in collaborative settings across cross-disciplinary teams and love turning ambitious ideas into robust, production-ready systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at Augmentus, Singapore

January 1, 2026 - Present

Architected and deployed multi-agent systems for intelligent robotic workflow automation, leveraging ReAct and Planning patterns to handle complex, non-linear tasks and enable autonomous reasoning. Developed specialized MCP (Model Context Protocol) servers to standardize tool orchestration and data access for autonomous agents, improving system interoperability and facilitating function calling.

R&D AI Engineer at Augmentus, Singapore

February 1, 2025 - December 1, 2025

Designed and deployed an agent-based RAG pipeline for automated UI review and redesign, reducing manual review time by 30% through autonomous feedback loops and reflection patterns. Implemented a self-reflecting prompt validator and enhancer system, improving response relevance by 25%. Conducted R&D on scalable multi-agent orchestration and API integration to boost adaptability.

Perception Intern at Augmentus, Singapore

July 1, 2024 - January 1, 2025

Researched 3D computer vision with a focus on point cloud segmentation. Trained and optimized PointNext architecture for 3D segmentation, achieving state-of-the-art 97% mIoU and demonstrating expertise in deep learning optimization for perception systems.