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Shanil Anushka Fernando

Machine Learning Engineer

Shanil Anushka Fernando is a Lead Machine Learning Engineer at Thoughtworks, where he designs and delivers production AI systems for leading global enterprises. His work centers on applied Generative AI — building LLM-driven agentic workflows and the evaluation and guardrail frameworks that make them reliable, safe, and production-ready — alongside ongoing research on generative models.



With more than nine years in engineering, Shanil has grown from software architecture and large-scale platform design into machine learning and AI engineering, leading distributed teams across multiple industries and regions. He works hands-on across the entire ML lifecycle — from agent orchestration and MLOps to distributed GPU-training infrastructure — with a consistent track record of turning complex business problems into scalable, measurable outcomes.

 

 

Shanil holds a Master of Engineering in Software Engineering and is sharpening his craft through Stanford University's Artificial Intelligence Professional Program, with coursework in deep generative models and natural language processing. An IEEE-published author who works comfortably across English, Mandarin, and Sinhala, he is driven by a simple goal: building AI that is both technically rigorous and genuinely useful.

Thoughtworks acknowledges the Traditional Owners of the land where we work and live, and their continued connection to Country. We pay our respects to Elders past and present. Aboriginal and Torres Strait Islander peoples were the world's first scientists, technologists, engineers and mathematicians. We celebrate the stories, culture and traditions of Aboriginal and Torres Strait Islander Elders of all communities who also work and live on this land. 

 

As a company, we invite Thoughtworkers to be actively engaged in advancing reconciliation and strengthen their solidarity with the First Peoples of Australia. Since 2019, we have been working with Reconciliation Australia to formalize our commitment and take meaningful action to advance reconciliation. We invite you to review our Reconciliation Action Plan.