Backend & AI Developer — I build production-grade APIs, NLP pipelines, and full-stack apps that actually ship.

• AI/NLP systems — document processing, text chunking, knowledge base pipelines, intelligent query handling
• REST APIs — FastAPI, Node.js, JWT auth, SQL/MongoDB, tested with Postman
• Full-stack apps — React + MERN stack, from concept to deployment
• ML models — CNNs for image classification, disease prediction with Scikit-learn & TensorFlow

CNN-based leaf disease detection using TensorFlow. Trained on plant village dataset, deployed via FastAPI + Streamlit for real-time predictions. Python TensorFlow FastAPI Streamlit CNN

Full-stack booking platform with role-based dashboards (doctor/patient), JWT authentication, and MongoDB scheduling workflows. React.js Node.js MongoDB Express JWT

Live microphone transcription with a modern customtkinter GUI. Captures audio, transcribes in real time, saves to file. Python SpeechRecognition customtkinter

ML pipeline using Logistic Regression, SVM, and Decision Trees for disease prediction. Built with Streamlit for real-time health risk assessment. Python Scikit-learn Streamlit Pandas

Languages: Python · C++ · JavaScript · TypeScript
Backend: FastAPI · Node.js · Express · REST APIs · JWT
Frontend: React.js · Vite · Tailwind CSS
ML/AI: TensorFlow · Scikit-learn · NLTK · Sentence Transformers
Databases: MongoDB · MySQL · SQL
Tools: Git · Docker · Postman · VS Code

• Building AI-powered backend systems at MPOnline (FastAPI + NLP pipelines)
• Deepening DSA skills for technical interviews
• Exploring algorithmic approaches for data-intensive applications