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Last updated: February 13, 2026 Founding Machine Learning Engineer at Beam AI, building production-grade LLM systems, autonomous AI agents, and enterprise RAG pipelines. Former Research Assistant at the Empathic Computing Lab (University of Auckland & University of South Australia) and Habib University, with 5 peer-reviewed publications in computer vision, robotics, and multimodal AI.

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At a glance

2+

Years of industry experience building production AI systems at Beam AI

4+

Years of research experience across University of Auckland, UniSA, and Habib University

61

Open-source repositories on GitHub spanning ML, computer vision, and robotics

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Focus areas

Large language models

LLM evaluation, self-healing output frameworks, retrieval-augmented generation, and autonomous AI agents for enterprise workflow automation

Computer vision

Camouflaged object detection, instance segmentation, real-time inference, and synthetic data generation with GANs

Cognitive computing

EEG and physiological signal analysis for modeling user intent, preference detection, and emotionally intelligent human–AI interaction

Autonomous robotics

SLAM-based navigation, dynamic path planning in ROS 2, and mobile robot systems for real-world deployment

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Selected work

Research

Three research positions across two international labs — University of Auckland and University of South Australia

Publications

5 conference papers at ICRAI, IBCAST, INMIC, and ICACS

Experience

ML Engineer at Beam AI, open-source contributor to LangChain, and multiple internships

Projects

Enterprise RAG systems, autonomous robots, and open-source tools with real-world impact

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Recent highlights