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A research workspace with a memory: experiments, papers, artifacts, provenance, hybrid search, and AI assistance in one connected system.
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A platform for finding real-world gaps, collecting evidence, and creating collaborative spaces around meaningful problems.
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Exploring AI-assisted embedded development: firmware generation, MCU project structure, and hardware-aware tooling.
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Computer vision for the field: crop-density estimation, leaf segmentation, and water monitoring. |
| 01 understand the domain |
→ | 02 make the core reliable |
→ | 03 add useful intelligence |
I like working on the part after the demo: making systems reproducible, interfaces useful, and documentation clear enough for the next engineer to pick up the thread.
I am a Vellore Institute of Technology student based in Chennai, India, open to internships, research collaborations, and hard engineering problems in AI systems, backend architecture, developer experience, and edge ML.

