KUSHWANTI V

Graduate Technical Intern-Tool Design Engineer

Intel

07.2024 - 05.2025

AI-Powered Tool: Lead the design and deployment of an AI-powered onboarding tool, enhancing new employee orientation and training through automated policy familiarization and task-related skill acquisition.
Natural Language Processing (NLP): Engineering a sophisticated NLP-based model for seamless text-to-speech conversion, streamlining content delivery and improving accessibility for diverse user profiles.
Conversational AI: Developing an advanced conversational AI model, leveraging Hugging Face transformers and tokenizers, to create a dynamic chatbot for real-time employee queries and interactive engagement.
Sentiment Analysis Framework: Implementing a robust sentiment analysis system using BERT models to gauge employee feedback, enabling data-driven insights into user sentiment and improving organizational response strategies.
Front-End Development and UI: Leading the development and continuous enhancement of intuitive user interfaces using HTML5, CSS3, and JavaScript, ensuring optimal performance and an exceptional user experience.
Backend Systems with Flask and Node.js: Developing scalable backend architectures using Flask and Node.js, ensuring robust functionality and seamless interaction with the front-end and AI systems.
Machine Learning Model Performance: Applying machine learning algorithms such as SVM and CNN to improve model accuracy in projects like brain disease classification and movie rating prediction, ensuring optimal predictive outcomes.
Automation and Testing Tools: Enhancing testing tools through automation and UI improvements, ensuring comprehensive system validation and streamlining the testing process to minimize errors and optimize results.