
Timeline
About me
Machine Learning Engineer | GenAI | Deep Learning | NLP | Data Science | Data Analytics | Big Data | Web Development | BlockChain | Quantum Computing
Education

Kaligandaki secondary school
-School level education 84 %
Institute of engineering, paschimanchal campus
2016 - 2021Bachelor of engineering - be computer engineering 75 %
Annapurna higher secondary
2014 - 2016High school education science 74 %I have studied Physics, Biology, Chemistry, Mathematics, English and Nepali subjects during +2.

Udacity
-Machine learning with tensorflow nanodegree artificial intelligence
Experience

Self-employed
Jan 2020 - Jun 2022Full stack developer- 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 a Blog website using the Django framework.- Developed a Hotel Management System webapp using React.js and Node.js.

Treeleaf technologies
Sept 2021 - Jul 2022Worked 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. Show less 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. Show less
Software Engineer I, Machine Learning
Nov 2021 - Jul 2022Machine Learning Engineer Internship
Sept 2021 - Nov 2021

Code for nepal
Jan 2022 - Dec 2024Completed Natural Language Processing with Python skill track consisting of 5 courses. Reviewed and sharpen my concepts on followings:- Feature Engineering(text pre-processing, 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 WorldCompleted Big Data with PySpark consisting of 6 courses. Learned following concepts:- Big data Fundamentals- Programming in PySpark RDD- PySpark SQL and DataFrames- Data cleaning & data pipelines- Exploratory Data Analysis- Feature Engineering- Machine learning with PySpark- Recommendation Engines such as ALS Show less 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 Pre-processing 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 Pre-processing- Relational Database and Database Design- 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 drift Show less
Data Fellow
Jan 2024 - Dec 2024Data Fellow
Jan 2022 - Dec 2023

Freelance
Jul 2022 - nowArtificial intelligence/machine learning researcherI have worked on the following research & development as a freelance researcher. I am happy to contribute my ideas & research as a freelancer:- Retrieval Augmented Generation(RAG)- Real-time Object Detection & Counting- Facial Recognition Based attendance system having face anti-spoofing.- Devanagari text-to-speech

Zakipoint health
Jul 2022 - nowWorked 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. Show less
Senior Machine Learning Engineer
Jul 2024 - nowMachine Learning Engineer
Jul 2022 - Jul 2024
Licenses & Certifications
- View certificate

Introduction to data visualization with matplotlib
DatacampJul 2022 - View certificate

Introduction to git and github
GoogleNov 2020 - View certificate

Introduction to tensorflow for artificial intelligence, machine learning, and deep learning
Deeplearning.aiNov 2020 - View certificate

Using python to access web data
University of michiganNov 2020 - View certificate

Ai for medicine specialization
Deeplearning.aiNov 2020 - View certificate

Data collection and processing with python
University of michiganSept 2020 - View certificate

Neural networks and deep learning
Deeplearning.aiSept 2020 - View certificate

Convolutional neural networks in tensorflow
Deeplearning.aiNov 2020 - View certificate

Python functions, files, and dictionaries
University of michiganSept 2020 - View certificate

Information systems auditing, controls and assurance
The hong kong university of science and technologyAug 2020
Volunteer Experience
Member
Issued by Robotics Club, IOE, Paschimanchal Campus on Jan 2018
Associated with Netra Prasad NeupaneSecretary
Issued by Syangjali Engineering Student Society (SESS) on Jan 2016
Associated with Netra Prasad Neupane
Languages
- enEnglish
- neNepali
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