Hello there! This is Sushant Gautam, a computer engineer and MS graduate from Nepal.

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MS in CS Student🎓| Interested in ML/DL 🧠| 🌱Ⓥ

🎓 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

💻Work Experiences

Software Project Manager, UBL R&D Center, Kathmandu (Present)

April 2019 to Present

• Face Verification; Exam Cheating Prevention; Web-based Image tagging and server-side training platform

• 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 modeling for weather and pollution prediction.

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

🚧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.

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

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

  1. 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.

  1. 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: Highly competitive. 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:

+977-9860043019 📧 susant.gautam@gmal.com

LinkedIn

GitHub/SushantGautam

ResearchGate

Feel free to contact me for collaboration/research opportunities.

🎉Socialize?