Hi! I'm Malika Sharma, a soon-to-be Bachelor of Science graduate from Wilfrid Laurier University. I'm passionate about data, AI/ML, cloud computing and project coordination and enjoy working on projects that solve real-world problems.
I thrive in structured, fast-paced environments and take pride in my ability to lead, organize, and deliver results. I enjoy stepping up in team projects, setting clear goals, and ensuring deadlines are met
Right now, I’m actively exploring new grad opportunities where I can apply my skills, learn from experienced professionals, and contribute to impactful projects.
I built an advanced chatbot powered by OpenAI's API, using Python and Django to deliver dynamic responses in real-time.
This project focuses on detecting schizophrenia from EEG data using a custom CNN model alongside three pre-trained neural networks.
I created a Swift-based mobile app that utilizes machine learning and computer vision to suggest recipes and incorporate 'ugly' produce, promoting sustainability.
I designed an interactive 3D portfolio using JavaScript, Tailwind CSS, and Spline animations to showcase my work.
This is a pantry management application I developed using Next.js, Material UI, and Firebase. It allows users to manage pantry items efficiently. The project features a Firebase backend for data storage, forms to add, delete, and update pantry items, and search and filter functionalities. It is deployed to Vercel using CI/CD.
PathwayPro is an AI-driven career development platform that helps job seekers optimize their resumes and prepare for interviews. It allows users to paste job descriptions, upload resumes, and receive personalized tips to enhance their chances of landing their dream job. The app also includes a calendar feature for managing application deadlines and events. Built using Next.js, Firebase, and Stripe, PathwayPro offers a seamless experience for both free and pro users.
Developed an AI Assistant for Rate My Professor using Next.js, OpenAI, and Pinecone to help students find professors based on personalized search criteria. The project includes an advanced search and recommendation system, along with speech-to-text functionality for easier input.
If you have any questions, project ideas, or just want to say hi, feel free to reach out!