Revati Jagtap

I’m an aspiring Machine Learning Engineer with an MSc in Machine Learning (Merit) from Royal Holloway, University of London (Distinction). I focus on supervised and unsupervised learning, deep learning, and building end-to-end ML pipelines that turn data into measurable outcomes.

I’m currently working as a Machine Learning Intern at Webmobi03 (Remote), applying ML & AI in a live production environment. I’ve built an AI-Powered Resume Analyser using LLM, NLP, and LangChain to parse resumes, score them against job descriptions, and generate ATS optimisation feedback.

My project work blends strong modelling discipline with practical problem-solving. For example, I built a predictive classification pipeline with feature selection, hyperparameter tuning, and cross-validation to achieve 75% accuracy, and I improved minority-class detection using SMOTE oversampling.

I’m especially excited to grow into a Senior ML Engineer / AI Research Engineer—leading scalable LLM and production NLP or computer vision systems. I enjoy mentoring, collaborating cross-functionally, and applying techniques like prompt engineering, tokenisation, ensemble learning, and real-time inference with tools such as OpenCV.