Hi There! I'm
Prashish Paudel
A software engineer at Blink Voice with a Master's in Computer Science from the University of Toledo, I specialize in full-stack development, NLP, and AI. My work spans from innovative communication solutions to medical simulation assessment platforms. I'm passionate about leveraging technology to enhance user experiences and solve complex problems.
Currently, I'm exploring the intersection of VoIP and AI to revolutionize digital communication.
Publications
Automated Multimodal Performance Evaluation in Simulation-based Medical Education using Natural Language Processing
Designed an innovative, integrative solution for simulation‑based medical education performance assessment. Utilized Natural Language Processing(NLP) coupled with precise physiological data analysis for a comprehensive, holistic multimodal evaluation of learner performance at instructor, learner, and environment level.
Conference: ACM/IEE 14th International Conference on Cyber-Physical Systems
Role of Smart Wearable Devices in Postoperative Care of Cardiac Surgery Patients
This study investigates the role of smart wearables in post-surgical cardiac care. Over 60 days, these devices collected vital health data from 20 patients, enabling timely remote interventions. The findings suggest that such technology could potentially cut down on readmissions and serious post-discharge complications.
Conference: 59th Annual Meeting of The Society of Thoracic Surgeons
Projects
Color GAN
Built a deep neural network model for colorizing grayscale images. Used Pix2Pix GAN a type of Conditional Generative Adversarial Network (cGAN) with a U- Net architecture to train the model on 1100 coastal images dataset and achieved great accuracy on test image dataset.
- Python
- Tensorflow
- Keras
- CNN
- GAN
- U-Net
Sentiment Analyzer
An application analyzing newspaper sentiment using a Stacked BiLSTM model. Built a News Sentiment Analyzer and deployed a Flask app displaying live sentiment of English News from Nepalese newspapers like Republica, Himalayan Times, and Kathmandu Post.
- Python
- Keras
- LSTM
- Flask
- Word2Vec
- NLP
Maritime Vessel Prediction
Built a model to identify the trajectory of Maritime Vessel from AIS data using Unsupervised clustering technique. Also, analyzed latitude, longitude, speed, and angle to derive a model that predicted the trajectory of a vessel with great accuracy.
- Python
- Seaborn
- K-Means Clustering
- ScikitLearn
Neuroplay
Built a feed forward neural networks to play Flappy bird game on its own. Used NEAT(Neuro Evolution of Augmented Topologies) algorithm to opimize the neural network and accomplished this without using any high level API's and only using NumPy.
- Python
- NumPy
- Genetic Algorithm
- Neural Net
Technologies
I've worked with a range a technologies in Machine Learning, Web Developemt and Chatbot development.
Programming/ Scripting
Experiece with
Python ,PHP ,JS ,C ,C++ , HTML , CSS , VHDL.Frameworks & Libraries
Experience with
Fat-Free , jQuery , AJAX , Numpy , Pandas , React.Js , Node.Js.Machine/ Deep Learning
Experience with
Tensorflow , Keras , NLP , CNN , LSTM , GAN , Transformer , OpenCV
About Me
Apart from studying, I love trekking. Have been to Annapurna Base Camp, Mardi Base Camp, Gosaikunda, Rara Lake. Planning on going to Everest Base Camp soon. I enjoy watching soccer and playing tennis on weekend.
2013
Started Computer Engineering Degree at Tribhuvan University, Nepal.
2017
Completed Computer Engineering Degree from Tribhuvan University, Nepal.
2018
Started working as Software Engineer at FOCUSONE Nepal Pvt.Ltd, Nepal.
2021
Started MS in Computer Science at University of Toledo, OH, USA.
2022
Worked as Conversational Chatbot Engineer Intern at Quantiphi Inc, MA, USA.
2023
Completed MS in Computer Science from University of Toledo,OH, USA
2024
Started working as Software Engineer at Blink Voice, NY, USA
Certification & Awards
Deep Learning Specialization Certification from DeepLearning.AI
Awarded Graduate Assistantships with Full Scholarship at UToledo.
Executive member of UToledo Club for Cyber Security
Presented Poster at ACM/IEE 14th International Conference on Cyber-Physical Systems