Diwas Bhattarai
24mm ƒ/22.0 1/1s ISO 50
Stable Diffusion
65mm ƒ/5.6 1/800s ISO 100
24mm ƒ/4.0 10s ISO 6400
Single Exposure, Untracked
120mm ƒ/5.6 1/400s ISO 100
Stable Diffusion
Experiences
Ph.D. Candidate, Computer Science
Louisiana State University
2015-Present
Key research activities include design and implementation of Parallel Coordinates Plot for multidimensional data analysis, end-to-end development of web-platform
for modeling, visualization, and analysis purposes by conducting periodic feedback and project milestone presentation sessions with domain experts. Data is collected from various published sources and is made available for researchers along with providing various analytics and modeling tools. Developed using silicate melt viscosity data as an example. Modeling is done using various Machine Learning techniques. Models include - SVM, Decision Tree, XGBoost, and Neural Networks.
Published work in "Parallel Coordinates-based Visual Analytics for Materials Property" (2019). Pages 83-95.
Application Developer Intern
T. Baker Smith
June 2018 - December 2019
• Built visualizations to monitor real-time IoT data containing pressure, temperature, surface level, and other metrics for pump stations across Louisiana.
• Worked in developing big-data pipeline, alerts, anomaly detection, constructing marketable devices, and finding out hardware solutions to changing requirements.
• Developed internal cross-platform tablet application.
Software Developer Analyst
Amedisys Home Health & Hospice
February 2013 - August 2015
• Built and maintained ASP.NET public facing web-application
• Worked on implementation design and incorporating modern web features
• Built real time code analysis and maintainability metric Visual Studio extension for C# and Javascript using Roslyn, Esprima and Rx libraries
• Built AngularJS 1.x code completion intellisense extension for Visual Studio
• Researched on presently available mobile technologies
• Evaluated native and multi-platform mobile frameworks