Open to opportunities

Ashbi P Binu

@ashbipbinu

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Machine Learning Engineer building AI-powered platforms and scalable automated workflows.

India

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What I'm looking for

I’m looking for a role where I can build and deploy ML/Generative AI systems end-to-end—optimizing inference on constrained hardware, improving pipelines with MLOps, and collaborating cross-functionally to ship production-ready automation.

I’m a results-driven Machine Learning Engineer with an internship background in Generative AI and over 2 years of experience building full stack systems. I focus on turning complex, claims-like workflows into AI-driven automation, and I’m comfortable optimizing accuracy and inference performance for real-world constraints.

In my Generative AI work, I architected an image-to-video pipeline using Stable Video Diffusion (SVD) and Hugging Face Diffusers, cutting high-resolution inference VRAM usage by 30% through VAE/attention slicing and memory-efficient attention. I also improve deployment and delivery speed with MLOps practices—Docker, GitHub Actions, MLflow, and DVC—and have built supervised learning and FastAPI prediction services achieving an overall F1-score of 99.46% for classification.

Experience

Work history, roles, and key accomplishments

Current

AI & Software Engineering Intern

Current

Leap Interactive

Jan 2025 - Present (1 year 5 months)

Architected an image-to-video generation pipeline with Stable Video Diffusion and Hugging Face Diffusers, optimizing high-resolution inference to use 30% less VRAM via VAE/attention slicing and xformers. Integrated the systems into existing software stacks, improving automated content generation efficiency by 25%, and led code reviews plus documentation for model optimization techniques.

PyTorch VAE Slicing Xformers Memory Efficient Attention NumPy ImageIO Code Review

Full Stack Developer

Thoughtline Technologies

Jan 2021 - Jan 2023 (2 years)

Built responsive Angular web applications and integrated RESTful APIs, improving internal process efficiency by 25% and reducing third-party integration time by 40%. Implemented NgRx state management, ensured 99% cross-browser compatibility, and led Agile sprints with JIRA/Confluence while collaborating on .NET projects to accelerate release timelines by 50%.

Angular TypeScript RESTful APIs NgRX .NET Browser compatibility Jira Confluence Sprints State Management

Education

Degrees, certifications, and relevant coursework

St.Thomas College of Engineering

Bachelor of Technology, Computer Science

2016 - 2020

Completed a Bachelor of Technology in Computer Science at St.Thomas College of Engineering. Focused on foundational and applied computing topics relevant to later machine learning work.

Mar Gregorios Higher Secondary School

Higher Secondary School Education, Higher Secondary Education

2014 - 2016

Completed Higher Secondary School Education at Mar Gregorios Higher Secondary School in Kerala. This formed the academic foundation prior to undergraduate studies.