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AI Engineer with less than a year in NLP & Deep Learning
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Results-driven Machine Learning Engineer with an MSc in Machine Learning (Merit) from Royal Holloway, University of London. Experienced in designing and deploying end-to-end machine learning pipelines, natural language processing (NLP), deep learning, and computer vision. Proficient in Python, PyTorch, Scikit-learn, LangChain, and RESTful API development. Seeking an entry-level Machine Learning Engineer or Data Scientist role in India to build AI-powered products that deliver measurable business impact.
Royal Holloway, University of London
Master of Science (MSc) · Machine Learning
August 1, 2024 – June 30, 2025
Bhujbal Knowledge City, MET
Bachelor of Technology (B.Tech) · Computer Engineering
August 1, 2021 – June 30, 2024
Webmobi03
Machine Learning Intern
February 1, 2026 – Present
India
Customer Churn Prediction
June 1, 2026 – Present
Designed an end-to-end supervised ML classification pipeline with feature selection, hyperparameter tuning, and cross-validation, achieving 75% accuracy with improved minority-class recall. Resolved class imbalance using SMOTE oversampling, significantly improving detection of churned customers. Applied Gradient Boosting and Bagging ensemble methods to improve model generalisation on unseen data.
Phishing URL and Email Detection System
June 1, 2026 – Present
Built a supervised machine learning pipeline for phishing detection using URL and email features, applying feature extraction, selection, and engineering techniques. Trained a Random Forest classifier with k-fold cross-validation, achieving strong ROC-AUC and F1-score on the test set. Evaluated model reliability using Confusion Matrix and Precision-Recall curves to validate performance across edge cases.
AI Resume Analyser
June 1, 2026 – Present
Built an AI application with a FastAPI (Python) backend and React.js frontend to upload and automatically analyse resumes against job descriptions. Implemented NLP techniques including Sentence Transformers, TF-IDF, and LLM-based scoring to compute semantic similarity, perform skill matching, and generate personalised improvement suggestions. Integrated REST APIs, file upload handling, and candidate ranking logic to present ATS scores, matched skills, missing skills, and summaries in an interactive dashboard.
Web Development Internship
Oasis Infobyte
June 1, 2026 – Present
Full Stack Python Development
Upstream
June 1, 2026 – Present
Web Development Internship
Code Clause
June 1, 2026 – Present
Core Java Programming
CodingCafe27
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI Resume Analyser, Customer Churn Prediction, and Phishing Detection System, indicates a broad interest and capability in applying AI/ML to various domains. The current internship as a Machine Learning Intern aligns well with the target AI Engineer role, showing a commitment to the field. The academic background (MSc in Machine Learning) further reinforces a strong cultural fit for a technically driven AI team. The candidate's willingness to relocate also suggests flexibility.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, fast learning, attention to detail, research ability, team collaboration, communication, ownership, accountability, and adaptability as soft skills. These are highly relevant for an AI Engineer role, which often requires complex problem-solving, continuous learning, and collaborative development. The project descriptions also suggest an ability to work through technical challenges and deliver functional solutions.