About Me
AI/ML Engineer with 1+ year of experience at Capgemini, specializing in building data-driven and scalable solutions. Skilled in Python, machine learning, and data analysis, with hands-on experience in developing ML models, preprocessing large datasets, and deploying backend systems. Passionate about leveraging AI to solve real-world problems and continuously learning new technologies.
Skills & Technologies
Work Experience
Software Engineer
Developed and maintained 5+ scalable microservices using Spring Boot and Spring Cloud. Built and optimized REST APIs with secure authentication (JWT, RBAC). Worked with large datasets and performed data processing for backend services. Implemented event-driven architecture using Apache Kafka. Deployed applications on Azure using CI/CD pipelines (Jenkins, GitHub Actions). Collaborated with cross-functional teams in Agile environment. Analyzed system data and improved performance through optimization techniques.
Projects
Customer Churn Prediction System
Built ML model to predict customer churn using structured data. Performed data cleaning, preprocessing, and feature engineering. Trained and evaluated models using classification algorithms. Improved prediction accuracy through hyperparameter tuning. Impact: Enabled early identification of high-risk customers.
AI-Based Sentiment Analysis System
Developed NLP model to classify customer reviews (positive/negative). Applied text preprocessing (tokenization, stopword removal, TF-IDF). Evaluated performance using precision, recall, and F1-score. Designed reusable pipeline for real-time sentiment prediction. Impact: Automated large-scale customer feedback analysis.
Education
B.Tech in Computer Science Engineering
General