ke Co
@keco
I build machine learning pipelines and accessible full-stack applications.
What I'm looking for
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
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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