Shuban S is an AI Engineer and SDE-1 based in Bengaluru with a computer engineering background and roughly two years of hands-on experience building production AI systems and data pipelines. He excels at bridging Python engineering and applied AI to turn prototypes into maintainable, scalable systems—prioritizing clean code, edge-case handling, and measurable business impact over demos. At CGI he built a multi-agent OCR pipeline achieving ~97% extraction accuracy and slashed processing costs by ~80% through an optimized agentic architecture, while past roles include leading ML/backend efforts for carbon emissions prediction and collecting/processing bespoke medical IMU datasets. He is comfortable owning ambiguous problems end-to-end, from early scoping and data engineering to deploying APIs and ensemble models in production. Notably, he combines practical resourcefulness (processing 500-page documents in ~1.5 hours for ~$1 each) with a research-minded approach to evaluation and retrieval quality. Shuban is drawn to teams using AI thoughtfully and reliably to solve meaningful problems.
5 years of coding experience
Electronics and Computer science Electronics and computer, Electronics and Computer science Electronics and computer at Vellore Institute of Technology
Contributions:35 commits, 9 PRs, 35 pushes in 2 months
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