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ke CoKC
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ke Co

@keco

I build machine learning pipelines and accessible full-stack applications.

India
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What I'm looking for

I'm looking to apply my machine learning, computer vision, and full-stack development experience to build practical, accessible products and continue growing through hands-on engineering work.

I've built an end-to-end explainable AI intrusion-detection pipeline for smart grids, with configurable preprocessing, training, inference, and FastAPI workflows for multi-class attack detection. I also co-authored a paper on the work submitted to Scientific Reports.

During Intel Unnati Industrial Training, I independently developed a SwinIR teacher–EDSR student image super-resolution framework using knowledge distillation. I designed three DIV2K training pipelines and optimized a 29 MB student model while maintaining high reconstruction quality.

I've also developed React Native and full-stack web applications, including an accessible inclusive hiring platform with JWT authentication, RBAC, job posting, application tracking, and employer/admin dashboards.

Experience

Work history, roles, and key accomplishments

SS

Software Engineering Intern

Sparrow Softtech

May 2024 - Jun 2024 (1 month)

Developed a React Native doctor appointment application with authentication, navigation, and multiple UI screens. Implemented login validation using JavaScript and designed a Java-based website as part of internship deliverables.

Education

Degrees, certifications, and relevant coursework

Christ University logoCU

Christ University

Bachelor of Technology, Electronics & Computer Science Engineering (AI & ML)

2022 -

Grade: 8.08/10

Pursuing a B.Tech in Electronics & Computer Science Engineering with a focus on AI & ML, maintaining a CGPA of 8.08/10.

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