Geeta Hade
+1-312-***-**** *********.**@*****.*** https://www.linkedin.com/in/geeta-hade https://github.com/GeetaHade Technical Skills
Programming Languages: C, C++, Java, Python, JavaScript, TypeScript, Dart Frontend Technologies: Next.js, React.js, Angular, Bootstrap, Material-UI, Tailwind CSS, Flutter Backend Technologies: Node.js, Express.js, Django, Flask, Curl, Postman Databases: MySQL, PostgreSQL, MongoDB, SQLite, Cosmos DB Other Tools & Technologies: Git, Docker, Azure, Kubernetes, REST APIs, ElasticSearch, CI/CD Experience
Software Developer Intern – Full Stack Developer Present Find Me LLC (Remote) Charlotte, NC
• Built secure and scalable backend APIs with Node.js, Express.js, and Swagger, integrating JWT authentication and validation layers which reduced API failures by 40%.
• Transformed Figma UI/UX designs into responsive, pixel-perfect forms using Next.js and Zod schema validation, leading to a 30% increase in form submission rate.
• Architected and deployed a real-time Notification Microservice with Azure Functions and Cosmos DB, efficiently processing 10K+ platform events and enhancing system responsiveness and modularity. Software Developer Intern - Web Developer Feb 2023 – Mar 2023 Suven Technologies Pune, India
• Revamped the restaurant’s website using HTML, CSS, and JavaScript, resulting in a 25% increase in mobile and desktop user engagement within 2 months.
• Optimized front-end and back-end functionality for a full-stack e-commerce platform, decreasing cart abandonment rates by 15% through improved UI and backend integration.
• Refined and integrated RESTful APIs, reducing data fetch time by 30%, enhancing the overall speed and user experience.
• Implemented JWT-based authentication and role-based authorization, improving system security by 40% and ensuring compliant access control.
Projects
ThinkShare – AI-powered Blogging and Activity Recommendation Platform Jun 2025 – July 2025
• Developed a full-stack blogging and activity platform using React.js, Node.js, Express.js, and Material UI, enabling personalized post creation and dynamic feeds, resulting in a 40% increase in user engagement.
• Integrated OpenWeatherMap, Geolocation API, and SerpAPI to generate context-aware activity suggestions, extending average session time by 30%.
• Implemented OpenAI-based reply suggestions and real-time search with Elasticsearch, improving content discoverability and user retention.
Smart Homes Online Retailer Dec 2024 – Feb 2025
• Engineered a tri-modular e-commerce platform for Smart Homes, integrating Customer, Sales Manager, and Store Manager modules, improving order management and reducing processing time by 25%.
• Developed seamless browsing, ordering, and tracking features, resulting in a 30% increase in user interactions with trending products.
• Implemented product recommendation and review-based search features, enhancing product discovery and boosting customer engagement by 35%.
Car Damage Detection Aug 2023 – May 2024
• Built an end-to-end web application utilizing computer vision algorithms with Python, Django, and OpenCV to predict and assess vehicle damage, achieving a 90% accuracy rate in damage estimation.
• Trained a Convolutional Neural Network (CNN) using Keras and TensorFlow on a labeled dataset of vehicle images, enabling precise damage classification and severity detection.
• Utilized Pandas and Jupyter Notebook for data preprocessing, analysis, and model evaluation. Education
Illinois Institute of Technology Chicago, IL
Master of Computer Science May 2026
• Top Courses: Machine Learning, Data Preparation and Analysis, Software Systems Architecture, Big Data Analysis Pune University Pune, India
Bachelor of Engineering, Computer Engineering June 2024
• Relevant Courses: Machine Learning, Deep Learning, Data Science and Big Data Analytics, Artificial Intelligence, System Programming, and OS
Research Publications
Car Damage Detection Using Computer Vision
Journal of Emerging Technologies and Innovative Research (JETIR), Volume 10, Issue 11, 2023.