Suryansh Malik
Research Engineer building intelligent systems with Machine Learning.
I work at the intersection of Computer Vision, Geospatial AI, Reinforcement Learning, and Explainable AI. My work focuses on making machine learning systems more accurate, interpretable, and useful in real-world environments.
Currently exploring how foundation models, geospatial intelligence, and on-device AI can solve practical problems at scale.
I am a Machine Learning Engineer and AI Researcher based in India. Over the last few years I've worked on machine learning systems for biomedical signal processing, satellite image analysis, semantic segmentation, explainable AI, and reinforcement learning.
My approach combines research-driven thinking with practical engineering. I enjoy understanding how systems work, building them from first principles, and turning ideas into tools that people can actually use.
When I'm not training models, you'll probably find me exploring new AI architectures, experimenting with local inference systems, or studying how emerging technologies can be applied outside traditional software domains.
I believe good machine learning systems should be: