AI/ML Intern
I'm an AI/ML Intern with less than a year of experience at Lanciere Technologies, focusing on educational technology. I've enhanced an educational chatbot's performance by achieving an 85% query resolution accuracy and reducing response time by 60%. I'm now building toward a role as an ML/AI Engineer, aiming to create robust, end-to-end ML pipelines that deliver substantial business value.
Developed a classification model to predict next-day rainfall using the WeatherAUS dataset (145,000+ records). Technologies used include data preprocessing, EDA, and Logistic Regression. Outcome includes a reproducible ML pipeline.
Designed and implemented an AI-powered educational chatbot to deliver personalized learning assistance. Technologies used include NLP techniques and Neural Networks. Achieved 85% query resolution accuracy and reduced response time by 60%.
Built a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset into 10 object categories. Technologies used include data normalization, augmentation, and CNN architecture. Evaluated model performance using accuracy, loss curves, and confusion matrix analysis.
01/2026 – Present
Results-driven AI/ML Engineer with expertise in building scalable, production-ready AI applications. Proficient in developing high-performance RESTful APIs using Django REST Framework to deploy machine learning models. Adept at bridging the gap between complex data science and seamless user experiences.
Bachelor of Technology • 2021 – 2025
7.98 CGPA
Intermediate • 2019 – 2021
9.32 CGPA
Secondary School Education • 2019
9.3 CGPA
Demonstrating strong academic performance and consistency.
Interested in collaboration or just want to say hello? Feel free to reach out!