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Hi, I’m Ashan Dias, a Machine Learning Engineer with a strong foundation in deep learning, traditional ML, TensorFlow, computer vision, forecasting, and RAG/LLM systems. I design, build, and deploy production‑ready ML solutions using Python, TensorFlow, MLflow, CI/CD, and cloud tools such as Google Cloud and Hugging Face. I work across forecasting, computer vision, and multimodal AI to deliver practical, scalable models. Before transitioning into ML/AI, I spent 20+ years in advertising and marketing, developing leadership, client‑facing skills, and project management—experience that now strengthens my ML engineering work, especially in product thinking and client delivery. I’m originally from Sri Lanka and am now based in Manila with full work rights.…Hi, I’m Ashan Dias, a Machine Learning Engineer with a strong foundation in deep learning, traditional ML, TensorFlow, computer vision, forecasting, and RAG/LLM systems. I design, build, and deploy production‑ready ML solutions using Python, TensorFlow, MLflow, CI/CD, and cloud tools such as Google Cloud and Hugging Face. I work across forecasting, computer vision, and multimodal AI to deliver practical, scalable models. Before transitioning into ML/AI, I spent 20+ years in advertising and marketing, developing leadership, client‑facing skills, and project management—experience that now strengthens my ML engineering work, especially in product thinking and client delivery. I’m originally from Sri Lanka and am now based in Manila with full work rights.

Ashan Bandaranayake (Ash Dias)

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

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Hi, I’m Ashan Dias, a Machine Learning Engineer with a strong foundation in deep learning, traditional ML, TensorFlow, computer vision, forecasting, and RAG/LLM systems. I design, build, and deploy production‑ready ML solutions using Python, TensorFlow, MLflow, CI/CD, and cloud tools such as Google Cloud and Hugging Face. I work across forecasting, computer vision, and multimodal AI to deliver practical, scalable models. Before transitioning into ML/AI, I spent 20+ years in advertising and marketing, developing leadership, client‑facing skills, and project management—experience that now strengthens my ML engineering work, especially in product thinking and client delivery. I’m originally from Sri Lanka and am now based in Manila with full work rights.…Hi, I’m Ashan Dias, a Machine Learning Engineer with a strong foundation in deep learning, traditional ML, TensorFlow, computer vision, forecasting, and RAG/LLM systems. I design, build, and deploy production‑ready ML solutions using Python, TensorFlow, MLflow, CI/CD, and cloud tools such as Google Cloud and Hugging Face. I work across forecasting, computer vision, and multimodal AI to deliver practical, scalable models. Before transitioning into ML/AI, I spent 20+ years in advertising and marketing, developing leadership, client‑facing skills, and project management—experience that now strengthens my ML engineering work, especially in product thinking and client delivery. I’m originally from Sri Lanka and am now based in Manila with full work rights.

Available to hire

Hi, I’m Ashan Dias, a Machine Learning Engineer with a strong foundation in deep learning, traditional ML, TensorFlow, computer vision, forecasting, and RAG/LLM systems. I design, build, and deploy production‑ready ML solutions using Python, TensorFlow, MLflow, CI/CD, and cloud tools such as Google Cloud and Hugging Face. I work across forecasting, computer vision, and multimodal AI to deliver practical, scalable models.

Before transitioning into ML/AI, I spent 20+ years in advertising and marketing, developing leadership, client‑facing skills, and project management—experience that now strengthens my ML engineering work, especially in product thinking and client delivery. I’m originally from Sri Lanka and am now based in Manila with full work rights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Freelance Machine Learning Engineer at Self-employed / Freelance

June 1, 2024 - Present

Build, train, and deploy production-grade ML models for real-world use cases including forecasting, computer vision, and multimodal AI. Implement TensorFlow models, MLflow tracking, CI/CD pipelines, and scalable cloud deployment. Develop API endpoints using FastAPI/Flask for model inference. Collaborate with clients for requirements, demos, and delivery; maintain professional communication and project management to ensure successful outcomes.