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

 May 2023 to Present

• Working around multimodal learning. 

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. 

🎓 Education

IOE, Thapathali Campus - Lalitpur, Nepal/ 2020-22 August

MSc in Informatics and Intelligent Systems Engineering (Full Merit-Based Scholarship )

Courses: NLP, CV, Applied ML, DL, Computational Intelligence, Info. Theory, Info. Visualization, Optimization 

MS Thesis in collaboration with SimulaMet at Simula Research Laboratory, Norway.

IOE, Pulchowk Campus - Lalitpur, Nepal/ 2015-19 

BE in Computer Engineering  (Full Merit-Based Scholarship)

 Relevant Courses: AI, Probability & Statistics, Data Mining, Big Data, Theory of Computation 

🚧Key Academic Projects

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

🤹 Skills

Programming: Python, C/C++, Android, Java, Django, SQL, etc

Libraries: TensorFlow, Keras, Torch, Pandas, NumPy, Scikit- learn, SciPy, Matplotlib, Git, TFX, Jupyter 

Languages: English (Fluent), Nepali (Native), Hindi (Advanced) 

🏆 Awards and Certifications

• Full Scholarship for Participation, NAAMII’s Winter School in Al. Deep Learning, Computer Vision, Stats. & Algorithms, Data science, Optimization. Met with AI-fellows from renowned university and labs.

• Hult Prize at TU 2017 Winner: for presenting a sustainable idea to empower refugees in Nepal using e-commerce platform and got the opportunity to present at Hult Business School, Dubai

• Mentor at Global Venture Bootcamp at Asian Development Bank, the Philippines as an aspiring tech entrepreneur to enhance flourishing social ventures using emerging technologies. 

• Participant, IEEE AI & Big Data Workshop 2018. Led multiple IEEE Student Chapter activities in Campus. 

• Best Prototype Award for Mobile App idea at UNICEF’s 1000 Golden Hours Code Camp, 2017

📝 Get in touch at:

  📧 sushant@simula.no

LinkedIn 

GitHub/SushantGautam   

ResearchGate

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Feel free to contact me for collaboration/research opportunities.

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