Bibek Gyawali

Relevant coursework: Digital Signal Processing, Control Systems, Microprocessor and Embedded Systems, Probability and Statistics, Instrumentation Systems.

• Parajuli, S., Katwal, S., Poudyal, S., Shakya, S., Gyawali, B.

• Katwal, S., Gyawali, B.

• Katwal, S., Parajuli, S., Shrestha, S., Gyawali, B.

Software Engineer

Kingsoft, Kathmandu

• Built and shipped full-stack features across the Django backend, React web app and Flutter mobile app, taking each from API to release on web, iOS and Android.
• Profiled slow Django REST API endpoints and sped them up by tuning database queries, caching repeated responses and trimming response payloads.
• Restructured the Flutter app into self-contained feature modules using the BLoC pattern, separating UI from business logic so each feature can be built and tested on its own.
• Set up GitHub Actions CI/CD to run unit and integration tests and ship iOS and Android releases automatically.
• Reviewed teammates' code and worked with product, design and QA to scope features and fix production issues across web and mobile releases.

Mobile Application Developer

CellApp / SmartPalika, Kathmandu

• Built and rolled out municipal service apps adopted by 15+ local governments across Nepal, and presented them to municipal officials during rollout.
• Developed Kirana Pasal, a SaaS platform for inventory, billing and analytics used by 1,000+ retail businesses, and Narmin Calendar, a scheduling tool for rural local governments.
• Integrated payment gateways so users could pay inside the apps, and published and maintained all apps on the Google Play Store and Apple App Store.
• Added offline storage in Flutter (Hive, sqflite) alongside a Dio networking layer, so apps kept working on the unreliable networks common in rural municipalities.

• Autonomous scholarly research intelligence platform that investigates research ideas, maps literature across open academic registries, and audits pre-submission manuscripts.

• Official Kathmandu Metropolitan City app giving residents digital access to municipal services, with 10,000+ downloads and a 4.1 rating on Google Play.

• Time-series forecasting on Nepal Stock Exchange equity data, comparing recurrent architectures against naive persistence baselines.

• Classification pipeline on transaction data with <0.2% positive instances, utilizing resampling and threshold optimization.