Robin Ranabhat
@robinranabhat
Senior ML Engineer with expertise in infrastructure and machine learning.
What I'm looking for
I am a Senior Machine Learning Engineer with a strong background in developing and deploying scalable machine learning solutions. Currently, I serve as a Graduate Research Assistant at the University of South Dakota, where I focus on enhancing CNN architectures and developing interpretability techniques for Vision-Language Models.
Previously, I worked at Coac Gmbh in Cologne, Germany, as a Senior ML and Infrastructure Engineer. There, I refactored a synchronous PDF-processing microservice into a scalable pub-sub architecture using FastAPI and NATS. I also leveraged Mistral-7b-Instruct LLM to build an Elasticsearch Conservation Agent, improving performance on complex JOIN queries.
I have a Master's in Computer and Information Sciences with an AI specialization from the University of South Dakota and a Bachelor's in Computer Engineering from Kathmandu University. My technical expertise spans machine learning, backend development, MLOps, and databases, with a strong foundation in Python, JavaScript, and Go.
Experience
Work history, roles, and key accomplishments
Graduate Research Assistant
Department of Computer Science, University of South Dakota
Jan 2025 - Present (4 months)
Enhanced Push-Pull CNN architecture with a Channel-Attention mechanism, improving robustness on CIFAR-C corruption benchmarks. Currently working on interpretability techniques for Vision-Language Models.
Senior ML and Infrastructure Engineer
Coac Gmbh
Feb 2023 - Mar 2024 (1 year 1 month)
Refactored a synchronous pdf-processing microservice into a scalable pub-sub architecture using FastAPI & NATS. Deployed applications in Kubernetes, optimizing resource allocation and implementing GitHub-based cluster state tracking.
Senior Machine Learning Engineer
Docsumo
May 2022 - Jan 2023 (8 months)
Designed a Table Information extraction system achieving 70% accuracy on unstructured documents. Led R&D efforts experimenting with various models for key-value extraction and optical marks recognition.
Education
Degrees, certifications, and relevant coursework
University of South Dakota
Master of Science, Computer and Information Sciences
2024 -
Kathmandu University
Bachelor of Engineering, Computer Engineering
2015 - 2019
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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