name: Ayush Rathore
role: Software Engineer | ML & Data Systems Enthusiast
education: B.Tech in Computer Science & Engineering (2024 - 2028)
location: Greater Noida / Delhi NCR, India
passions:
- Scalable Backend Architecture & RESTful API Engineering
- Predictive Machine Learning, Signal Analysis & System Intelligence
- Clean Code, Database Design & Algorithmic Problem Solving
currently_building: Intelligent Safety Systems & Enterprise Workflow Platforms
open_to: Software Engineering Internships & Technical Collaborations- ๐ก What I Do: I build robust, high-performance software systems and machine learning workflowsโfrom architecting clean Django backend APIs to training predictive signal analysis models.
- ๐ญ Featured Work: Engineered a Pilot Fatigue Risk Detection System combining physiological signals (HRV RMSSD/SDNN) and human factors, achieving 81.56% benchmark accuracy.
- ๐ฏ Core Focus: Data structures, distributed architectures, database optimization, and end-to-end ML model deployment.
| Languages |
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| Backend & Web |
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| AI, ML & Data |
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| Databases & Storage |
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| Tools & Workflow |
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An intelligent predictive aviation safety framework combining physiological signal processing (ECG/HRV SDNN & RMSSD) with human factor analytics (sleep debt, circadian disruption, flight hours) to classify pilot fatigue risk in real-time.
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A full-featured workflow and task management backend engine engineered with Django & DRF, featuring secure authentication, role-based access control, task status lifecycle tracking, and optimized relational database queries.
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I'm always excited to discuss software engineering opportunities, machine learning pipelines, or open-source projects.