Aspiring Machine Learning Engineer passionate about building scalable, real-world AI solutions.
Aspiring Machine Learning Engineer with hands-on experience in NLP, computer vision, and full-stack AI application development. Proficient in Python, PyTorch, spaCy, scikit-learn, and LangChain, with a passion for building scalable, real-world AI solutions. Actively seeking entry-level ML and Full Stack opportunities to apply technical expertise and contribute to impactful projects.
Streamlit-based web app for classifying digital ads into multiple categories using machine learning. Used TfidfVectorizer, OneVsRestClassifier, and scikit-learn for multi-label classification and real-time inference.
View DemoFull-stack platform with role-based access for borrowers, investors, and staff using Django and REST APIs. Integrated Stripe for payments, automated workflows, and real-time investment management.
View DemoDeveloped a secure Express.js backend and interactive frontend with Bootstrap, jQuery, and Swiper. Implemented authentication, dynamic content, and user-friendly features for a seamless shopping experience.
View DemoWeb-based AI system to detect plant diseases from leaf images using a CNN built with PyTorch. Integrated real-time prediction and a lightweight Flask web app for user-friendly diagnosis.
View DemoPython tool to scrape Instagram profiles by city, automate DMs using OpenAI API and Instabot, and manage credentials securely with dotenv. Documented for easy deployment and maintenance.
View DemoBuilding web and software apps from start to finish.
Core computer science and problem-solving.