I am an accomplished Machine Learning Engineer, currently in my fourth year of professional practice with a proven track record of delivering end-to-end AI solutions in a fast-paced startup culture in the UK. As a versatile team player, I adapt to the dynamic needs of growing organizations and seamlessly step into the role that best supports the team. I am particularly passionate about rapid AI advances and stay current with emerging technologies such as Generative AI, large language models, and MCP-based protocols.

Sagar Prabhakaran

I am an accomplished Machine Learning Engineer, currently in my fourth year of professional practice with a proven track record of delivering end-to-end AI solutions in a fast-paced startup culture in the UK. As a versatile team player, I adapt to the dynamic needs of growing organizations and seamlessly step into the role that best supports the team. I am particularly passionate about rapid AI advances and stay current with emerging technologies such as Generative AI, large language models, and MCP-based protocols.

Available to hire

I am an accomplished Machine Learning Engineer, currently in my fourth year of professional practice with a proven track record of delivering end-to-end AI solutions in a fast-paced startup culture in the UK.

As a versatile team player, I adapt to the dynamic needs of growing organizations and seamlessly step into the role that best supports the team. I am particularly passionate about rapid AI advances and stay current with emerging technologies such as Generative AI, large language models, and MCP-based protocols.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Work Experience

ML Engineer at TUBR
July 2, 2022 - November 20, 2025
Led end-to-end ML pipeline development for a UK train operator, including secure data sharing with Unity Catalog, model deployment with MLflow, and predicting train delays with 85% accuracy within a five-minute window. Enhanced platform scalability by orchestrating asynchronous tasks with Django Signals and Google Pub/Sub, improving request throughput by 75%. Implemented OAuth 2.0 integration with leading POS providers to accelerate customer onboarding by 10x. Contributed to a net-zero carbon initiative with UKRI and worked on a Temporal Fusion Transformer model to predict CO2 levels city-wide with ~80% accuracy. Developed an WhatsApp-powered product recommendation system for salon owners based on customer profiles and purchase histories, driving a 50% uplift in monthly sales.

Education

Integrated Master’s (B.Tech & M.Tech) in Geophysical Technology at IIT Roorkee, India
January 11, 2030 - November 20, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Transportation & Logistics