Data Scientist & Machine Learning Engineer
Computer Engineering graduate who turns raw data into intelligent systems — from classical ML to production LLM pipelines.
I graduated with a Bachelor's in Computer Engineering from Kathmandu Engineering College. My work spans the full ML lifecycle: data preprocessing, model training, evaluation, and deployment. I'm particularly interested in applied NLP, RAG architectures, and building tools that make AI actually useful in the real world. Currently building a multi-language code assistant with CodeLlama.
Integrated a LangChain-powered conversational agent with a SQL backend to automate database querying. Utilized Retrieval-Augmented Generation (RAG) principles to extract precise analytical insights — such as student GPA distributions — from structured datasets, eliminating the need for manual SQL writing.
Desktop application built with Tkinter using Siamese Neural Networks (SNN) for signature verification and validation. Users can train on their own signature, stored as .h5 model files. During testing, signatures are passed through the SNN and compared with originals to accept or reject them.
Android application integrated with machine learning to recognize cultural heritage sites. Users select or capture images via camera; the app compares them against a trained label set and returns relevant heritage details along with location data on a map.
Building a scalable code completion assistant integrating CodeLlama to support multiple programming languages. Aims to enhance coding efficiency, reduce boilerplate, and accelerate project delivery timelines through intelligent, context-aware suggestions.
Open to full-time roles, internships, research collaborations, and freelance ML projects. I reply fast.