Summary
Farhan Ahmad is a versatile data scientist and machine learning engineer with 15 years of hands-on experience building production-grade systems across consumer electronics, healthcare, autonomous robotics, mining, and pharma. He combines low-level systems expertise—shipping assembly and highly optimized C code on constrained devices—with modern ML practices in Python, deep learning, and Bayesian inference to deliver end-to-end solutions. Notable projects include mobile clinical-grade sleep analysis, multilingual handwriting recognition for smartphones, and a high-fidelity cheminformatics pipeline that fuses LLMs, task-specific models, and Bayesian aggregation. He’s comfortable in small, driven teams and also scales impact through teaching and mentoring, having trained thousands of industry professionals at Udacity. Based in Perth, he’s currently applying LLM/LVM techniques to robotics and building AI tools for minerals exploration and factory automation, reflecting a rare blend of embedded systems craft and contemporary applied AI.
14 years of coding experience
11 years of employment as a software developer
B.Tech Computer Engineering, B.Tech Computer Engineering at Jamia Millia Islamia