About Me
Motivated and detail-oriented fresher with an MCA degree, passionate about Machine Learning, Data Science, and Cloud Computing. Eager to apply hands-on project experience in Python, ML pipelines, and AI-powered systems to build data-driven solutions that create real-world impact across any domain. Comfortable working across the full lifecycle of a model, from data preprocessing and training to deployment on the cloud, and genuinely enjoy the process of turning a rough idea into something that actually works. Looking to join a team where I can keep learning, take on harder problems, and grow into a well-rounded AI/ML engineer.
Skills & Technologies
Projects
Lung Vision AI
Built a CNN-based deep learning model to classify lung disease severity from CT scan images, with preprocessing including lung segmentation, edge detection, DICOM handling, and noise reduction. Used medical-safe data augmentation and transfer learning with ResNet50 and VGG16. Integrated MongoDB for storing imaging metadata and patient records.
LexiBot AI – Smart Legal Assistant
Developed an intelligent legal assistant using Retrieval-Augmented Generation and Large Language Models to analyze case details and retrieve relevant IPC sections. Built a scalable RAG pipeline using Pinecone vector database for semantic search, with secure role-based access control via AWS IAM and Amazon Bedrock integration. Designed an interactive Streamlit web app for real-time legal queries.
SAKSHI – Mobile Application
Developed a cross-platform mobile app using Flutter targeting Android and iOS, with 15+ responsive UI screens designed in Figma. Implemented RESTful API backend with FastAPI and MongoDB integration. Improved app performance using lazy loading and Provider state management for smooth user experience.
Education
Master of Computer Applications (MCA)
Computer Applications
Bachelor of Computer Applications (BCA)
Computer Applications