PhD Student, Simula Metropolitan Center for Digital Engineering, Oslo (Present)

 May 2023 to Present

• Working around multimodal learning. 

• Conferences: 

  • ICMI 2023: Bridging Multimedia Modalities: Enhanced Multimodal AI Understanding and Intelligent Agents

Adjunct Lecturer,  Tribhuvan University, IOE, Thapathali Campus, Kathmandu

Dec 2022 - May 2023 (Contract based)

For the graduate level course: "A Practical Approach in Deep Learning" offered for MSc in Informatics and Intelligent Systems Engineering

Engineering Manager, North Star Developer's Village, Kathmandu 

April 2019 to  May 2023

• Experimenting using new technology in various domains including education and healthcare.

• NIA Project: Web-based Audio Data Collection, Annotation and Evaluation Platform

• EPS UBT: Edge-based Automated Realtime Proctoring for EPS Korea Language Exam

• UBL Cloud: NextGen Learning Management System with AI features

• UBT Rec: Online Proctoring for Live Exams 

• Essay Ranking; Feedback Bot; Topic Modelling/Analysis; ML functions/models for through API.

 Research Assistant, UGC Collaborative Research Grant, Lalitpur 

January 2018 to March 2019 

• Assistant to Prof. Dr. Nanda Bikram Adhikari. Research & implement appropriate algorithms & tools. 

• Storing sensor data with GPS trace & data mining. RNN, RapidMiner, Hadoop, WebSocket, etc. 

AI Intern, Leapfrog Technology, Lalitpur 

October 2018 to March 2019 

• Predictive models for time series modelling for weather and pollution prediction. 

• ARIMA and windowing-based models. Model deployment and web-based interactive interface. 

1. Deep Learning-based Pose Estimation for Dystonia Score Prediction (MS Project)

2. Assessment of Spatiotemporal Weather and Pollution Proxies with RNN and ARIMA (Bachelor's Thesis)

Statistical analysis, visualization, regression & time series predictive modelling using NN models. 

3. Human Facial Landmarks Detection using Multi-Layer Perceptron (Minor Project)

Trained MLP regressor for facial landmarks detection. Hyper parameter tuning.

4. IOT based Smart Traffic Light System:

A prototype of the Smart Traffic Light System using the Internet of Technology and smart cameras at traffic junction using the ESP8266 module.

5. Web Based Image Segmentation and Model Serving

Capable of tagging images for segmentation. ML tests & experiments, model training on server