Rupesh Bashyal

I’m a Computer Science student with hands-on experience in data processing, workflow automation, and machine learning projects. I focus on turning messy source material into structured, reliable data systems for real applications.

In my Data Engineering Intern role at NexSewa (Voyage Project), I built an automated content pipeline for an IELTS preparation platform using n8n, Python, Supabase, and PostgreSQL. I converted PDF materials into structured JSON, designed extraction/validation/repair steps with logging, and loaded passage, questions, and audio-related records into normalized database tables.

I also verify outcomes end-to-end—checking processed data in Supabase and testing content display in the Voyage mobile application. This emphasis on data quality, consistency, and practical validation drives how I develop ETL pipelines.

Outside engineering, I build ML systems like my Fake Review Detection project using BERT embeddings with cross-domain evaluation, plus mini projects such as Titanic Survival Prediction, Loan Default Prediction, Spam Classification, and MNIST digit recognition. I’ve also developed a responsive e-commerce website (LuxeLoot) to strengthen frontend fundamentals and real-world project organization.