CSE undergrad (2026) building practical Python systems β clean, maintainable, and production-ready.
I focus on the problems that quietly break teams: messy data, fragile automations, undocumented scripts. My work sits at the intersection of backend engineering and operational reliability.
Design clearly β Build cleanly β Document properly β Improve iteratively.
Automation β ETL pipelines, scheduled jobs, report generation
Backend β REST APIs, Flask services, auth systems
Data β Pandas/NumPy workflows, SQL queries, validation logic
Tooling β Internal utilities, logging frameworks, reproducible scripts
Cloud β AWS (EC2, S3, IAM), CI/CD basics, Linux workflows
Core
Data & Automation
Cloud & DevOps
- Modular code over monolithic scripts
- Explicit error handling and structured logging
- Every repo ships with a clear README and usage examples
- End-to-end ownership β I don't stop at "it works locally"
Internships and early roles focused on Python backend, data engineering, or automation β teams that care about clean systems and long-term maintainability over velocity theatre.
gauravatwork17@gmail.com Β· Portfolio Β· LinkedIn Β· Resume
