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- 💡 What I Do: I build robust, high-performance software systems and machine learning workflows—from architecting clean Django backend APIs to training predictive signal analysis models.
- 🔭 Featured Work: Engineered a Pilot Fatigue Risk Detection System combining physiological signals (HRV RMSSD/SDNN) and human factors, achieving 81.56% benchmark accuracy.
- 🎯 Core Focus: Data structures, distributed architectures, database optimization, and end-to-end ML model deployment.
| Languages |
|
| Backend & Web |
|
| AI, ML & Data |
|
| Databases & Storage |
|
| Tools & Workflow |
|
|
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.
|
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.
|
|
|
|
I'm always excited to discuss software engineering opportunities, machine learning pipelines, or open-source projects.
