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.

Swarnim Mandal

Currently

MSc @ UWL, London

Expertise

01

Full-Stack Development

Building responsive, cross-device web applications using React, Django, and Node.js — from API design to CI/CD deployment.

02

Machine Learning & AI

Developing neural networks for audio classification, music generation, and predictive modelling using TensorFlow, PyTorch, and Keras.

03

Data Analysis

Extracting business insight from complex datasets through statistical analysis, predictive models, and automated data pipelines.

Selected Work

All projects →
Conversational AI

AI Receptionist

A production-ready AI receptionist that answers business calls 24/7, captures booking details through natural conversation, and emails structured leads to the owner. Built on Twilio voice + OpenAI — available to integrate into your business.

TypeScriptOpenAITwilio
Aerospace Engineering

Airfoil Selector for Wind Turbines

A tool that ranks airfoil designs for small vertical-axis wind turbines by annual energy production at a specific site — pairing real wind statistics with NeuralFoil surrogate aerodynamics and generating explainable reports on why one design outperforms another.

PythonNeuralFoilGradio
Deep Learning

UAV Predictive Maintenance Digital Twin

LSTM, Transformer, and 1D-CNN models forecasting Remaining Useful Life on NASA C-MAPSS turbofans and a synthetic UAV fleet — with an interactive 3D dashboard and explainable-AI diagnostics.

PyTorchNext.jsThree.js
Deep Learning

Guitar Tablature Generation

LSTM and feed-forward neural network that predicts optimal guitar tablatures for any input melody, modelling musical intention and fretting difficulty.

PythonTensorFlowKeras
Deep Learning

Music Genre Classification

CNN model classifying audio into 10 genres using MFCC features, achieving 79% accuracy on the GTZAN dataset with custom preprocessing.

PythonPyTorchLibrosa

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.

Adrian MihailProfessional Colleague

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.

SudipFormer Student

Have a project
in mind?

Open to full-time roles, freelance projects, and research collaborations.