Netra Prasad Neupane Email & Phone Number

Nepal

Lalitpur District, Nepal

Working as a full-time Machine Learning Engineer, and Developed the following machine learning projects and innovative solutions:- Researched Recommendation Systems and Developed a Sequential Recommendation System to predict the next items.- Fine-tuned pre-trained language model and Built Chatbot on top of vector database and language model.- Researched and Developed Table Detection and Table Structure Recognition system using state-of-the-art Machine Learning techniques.- Researched and Developed an information extraction system from food and beverage packages. - Researched and Developed an Intelligent Information Extraction system to automate tedious PDF extraction tasks.- Built advanced computer vision and state-of-the-art machine learning-based Identity Extraction System.

Nepal

I have worked on following research & development as the freelance researcher. I am happy to contribute my ideas & research as freelancer:- Retrieval Augmented Generation(RAG)- Real-time Object Detection & Counting- Facial Recognition Based attendance system having face anti-spoofing.- Devanagari text-to-speech

Nepal

Completed a comprehensive Data Scientist with Python Career Track, comprising 23 courses, 6 projects, and 3 skill assessments. Acquired proficiency in the following areas:- Advanced Python Concepts- Data Manipulation and Visualization- Data Preprocessing and Transformation- Exploratory Data Analysis- Data Communication Concepts- Probability and Statistics- Predictive modelling- Supervised and Unsupervised machine learning algorithmsCompleted the comprehensive Data Engineering Career track where I have sharpened my skills in the following areas:- Data Collection and Data Preprocessing- Relational Database and Database Desing- SQL- Data Acquisition, ETL- Data Visualization- Version Control and Cloud Computing- Writing Efficient CodesCompleted MLOps Fundamentals skill track consisting of 4 courses and acquired proficiency in the following areas:- MLOps architecture- CI/CD and CM/CT- Experiment Tracking- Model registries- Feature Store- Deployment Strategies- Concept drift, data drift & model driftCompleted Natural Language Processing with Python skill track consisting of 5 courses. Reviewed and sharpen my concepts on followings:- Feature Engineering(text pre-porcessing, tokenization, lemmatization, stemming, Bag of words, n-grams, texts to vectors etc)- Named Entity Recognition- Sentiment Analysis- Speech-to-text Processing- Data Analysis & Spacy Model customizationCompleted Developing Large Language Models skill track consisting of 4 courses. Reviewed my understanding of the following:- Training & evaluating Neural Network architectures using Pytorch e.g. RNN, LSTM, GRU etc.- Text Classification(BERT) & Text Generation(GPT2), Language translation, Question-Answering and Text Summarization with PyTorch & Hugging Face- Building transformer from scratch- Harnessing Pre-trained LLMs- Evaluating and Leveraging LLMs in the Real World

Lalitpur District, Nepal

Worked as a full-time Machine Learning Engineer, and contributed to various machine learning projects and innovative solutions.- Conducted in-depth Research on different image preprocessing techniques to enhance Optical Character Recognition(OCR) accuracy.- Researched and evaluated the performance of multiple OCR engines including Tesseract, EasyOCR, PaddleOCR, Cuniform OCR, DocTR, and Keras OCR to determine the most suitable solution for specific projects.- Developed robust information extraction pipelines, utilizing techniques such as Regular Expression and Named Entity Recognition, to extract structured data from unstructured text, including key-value pairs and form data.- Developed different machine learning services using gRPC microservice architecture.- Researched and contributed to the Development of the English handwritten Recognition System including Data Collection and training CNN-BiLSTM-based architecture on MxNet framework, image pre-processing and alignment, text segmentation, and text recognition.- Collaborated with the team on the development of a face detection and recognition system.- Mentored and provided guidance to two dedicated machine learning interns during their tenure.

Lalitpur District, Nepal

Worked as a dedicated full-time intern for a three-month period, gaining valuable hands-on experience and contributing to various machine learning projects.- Conducted research and developed a Logistic Document Classifier using SVM and online learning with the Stochastic Gradient Descent (SGD) Classifier.- Developed a Logo Detector by working on image annotation and fine-tuning the YOLOv4 object detection architecture.- Contributed to an Information Retrieval System with modules like Optical Character Recognition (OCR), Tabular Data Extraction, and processing.- Conducted research, trained, and tested deep learning algorithms (CNN, RCNN, LSTM) and utilized the VGG16 architecture for transfer learning in public datasets.

- Researched and Developed a Face Mask Detection System to reduce COVID-19 spread by early detection and intervention.- Developed a Stock Price Prediction system to predict the stock price of the future using historical transaction data.- Developed Blog website using the Django framework.- Developed Hotel Management System webapp using React.js and Node.js.

Bachelor Of Engineering - Be, Computer Engineering, 75 %

Machine Learning With Tensorflow Nanodegree, Artificial Intelligence

High School Education, Science, 74 %

I have studied Physics, Biology, Chemistry, Mathematics, English and Nepali subjects during +2.

School Level Education, 84 %