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Rahul Dev Banjara

@rahuldevbanjara

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I am Rahul Dev Banjara, a machine learning engineer based on Kathmandu, Nepal.

Nepal

Message

What I'm looking for

I am seeking a role that fosters innovation and allows me to tackle complex AI challenges while contributing to impactful projects.

Rahul Dev Banjara is an entry-level machine learning engineer from Kathmandu, Nepal, currently pursuing a B(Hons) in Computer Science at Herald College Kathmandu. He has completed an AI fellowship at Fusemachines, where he gained practical experience in deep learning with frameworks like PyTorch and TensorFlow. Rahul is passionate about machine learning, computer vision, natural language processing, and MLOps. With expertise in AI frameworks and a growing interest in MLOps, he aims to contribute to impactful AI solutions.

Experience

Work history, roles, and key accomplishments

Medical Chatbot Developer

Independent Project

Created a RAG-based medical chatbot integrating Llama 3.1 with Pinecone for accurate medical information retrieval. Deployed using Flask and HTML/CSS for a user-friendly interface.

Chatbot Development Pinecone Flask HTML CSS Information Retrieval User Interface Design Software Deployment

Machine Learning Engineer

Fusemachines

Apr 2024 - Jul 2024 (3 months)

Engineered an industry-grade Computer Vision and AI for Governance project, gaining hands-on experience in the machine learning project lifecycle. Participated in research sessions on the latest AI technologies and received intensive training on deep learning models.

Machine Learning PyTorch TensorFlow Computer Vision Deep Learning Model Training Data Analysis Research Project Management

Document and Record Management Developer

Independent Project

Developed a system to verify government documents using ResNet50 for classification, YOLOv8 for localization, and EasyOCR for text extraction, achieving an accuracy rate of 82%. Utilized Streamlit for the user interface.

ResNet50 YOLOv8 Streamlit Data Cleaning Machine Learning Image Processing

Paraphrase Generation Developer

Independent Project

Finetuned a pre-trained T5 transformer for paraphrase tasks using PyTorch and created an API with FastAPI, allowing users to interact through a Streamlit UI.

Paraphrase Generation T5 Transformer PyTorch fastAPI Streamlit API Development Machine Learning Natural Language Processing Interaction

AI-Powered Resume Analyzer Developer

Independent Project

Developed an AI-powered resume analyzer using the Mistral model to evaluate candidate resumes against job descriptions, providing match scores and skill assessments through a Streamlit interface.

AI Streamlit Machine Learning Natural Language Processing Model Evaluation

Potato Disease Classification Developer

Independent Project

Created a CNN-based classification system using TensorFlow to identify potato diseases from leaf images, implementing data augmentation and normalization techniques.

CNN TensorFlow Machine Learning Implementation Model Training