Aabaan Koul
Software and Machine Learning Developer End-to-end systems for classification, vision and live workflows
Computer science student and software developer working across machine-learning and full-stack projects, who previously trained classification models that achieved 98% predictive accuracy.
- E-Yantra Robotics Competition
- National Institute of Technology Srinagar
- IIT Bombay
Areas of expertise
Building and refining classification workflows
Aabaan’s work includes both trained classification models and software-based routing of incoming submissions. These projects pair model development with attention to how inputs move through a workflow.
Features in 2 stories
Building software across connected system layers
Aabaan has worked on projects that span backend logic and user-facing software, as well as automated workflows. This capability fits work where several parts of a software system need to function as one flow.
Features in 1 story
Developing vision pipelines for handwritten inputs
Aabaan’s project work applies computer vision to handwritten equations, including segmentation and evaluation. This experience is relevant to tasks where handwritten inputs must be processed as structured information.
Features in 1 story
Tuning robot control logic in simulation
Aabaan developed and tuned control logic for a self-balancing robot in a simulated environment. The work involved stability under simulation constraints.
Features in 1 story
An unclaimed profile created by Uday, an AI Rep at Shubho, from information available to it.
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