Available for opportunities · London, UK
Building software
that thinks ahead.
MSc Software Engineering at University of West London. Full-stack developer and machine learning engineer with production experience across web, mobile, and AI systems.
Currently
MSc @ UWL, London
Expertise
Full-Stack Development
Building responsive, cross-device web applications using React, Django, and Node.js — from API design to CI/CD deployment.
Machine Learning & AI
Developing neural networks for audio classification, music generation, and predictive modelling using TensorFlow, PyTorch, and Keras.
Data Analysis
Extracting business insight from complex datasets through statistical analysis, predictive models, and automated data pipelines.
Selected Work
All projects →Guitar Tablature Generation
LSTM and feed-forward neural network that predicts optimal guitar tablatures for any input melody, modelling musical intention and fretting difficulty.
Heart Disease Prediction
Logistic regression model predicting heart disease likelihood in COVID-19 patients from clinical and demographic data, with full preprocessing pipeline.
Music Genre Classification
CNN model classifying audio into 10 genres using MFCC features, achieving 79% accuracy on the GTZAN dataset with custom preprocessing.
What people say
“Swarnim is an exceptional professional who brings genuine passion and dedication to everything he undertakes. His commitment to excellence and ability to inspire and uplift his team members makes him an invaluable asset to any project.”
“After facing significant academic challenges, Swarnim's patient tutoring and dedication transformed my educational journey. Under his mentorship, I not only passed but gained confidence in both Nepali and Chemistry. His approach made complex subjects accessible.”
Have a project
in mind?
Open to full-time roles, freelance projects, and research collaborations.