About
Strong foundation in Python, Machine Learning, Deep Learning, and NLP, with hands-on experience in data preprocessing, EDA, feature engineering, model training, and evaluation. Familiar with Generative AI concepts including LLMs, Transformers, Prompt Engineering, and Tool Calling.
Projects3
AI Crop Disease Detection & Crop Recommendation · Developer
Developed a CNN and MobileNetV2-based crop disease detection system using TensorFlow/Keras, achieving 95% classification accuracy on plant leaf images. Built soil analysis and crop recommendation modules, achieving 97% soil analysis accuracy and 98% crop recommendation accuracy.
- Deep Learning
- Django
- Gemini API
VisionRAG · Developer
Built a Multimodal RAG pipeline to extract text, tables, and images from complex PDF documents using PyMuPDF and Pandas. Integrated Text and Vision LLMs to combine retrieved text and visual content for grounded, page-cited question answering.
- Pinecone
- Groq API
- LangChain
- HuggingFace
Loan Default & Loan Amount Prediction · Developer
Developed an end-to-end ML solution for loan default classification and loan amount prediction, including data preprocessing, EDA, statistical analysis, and correlation analysis. Trained and compared multiple classification and regression models.
- Machine Learning
Education2
Master of Computer Applications
2025 — 2027GLS University
Bachelor of Computer Applications
2022 — 2025GLS University
Certifications2
HackerRank Python
HackerRank SQL (Basic)