Sushant Gautam is a PhD student at 

Simula Metropolitan Center for Digital Engineering

Oslo, Norway.


PhD Student🎓| Interested in ML/DL 🧠| 🌱Ⓥ

🧑‍🔬 Google Scholar | ResearchGate    🌐 LinkedIn 

💻Work Experiences

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

 May 2023 to Present

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

 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

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

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

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

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

📝 Get in touch at:




Google Scholar | ResearchGate

🎫 Book a meeting with me!

Feel free to contact me for collaboration/research opportunities.