Arpan Gupta

Engineered a Generative AI application using TensorFlow, Python, and GPT-3.5 to enhance regional dialect understanding and improve user interaction. Designed and trained NLP models for various regional dialects, achieving high accuracy in language recognition and response generation. Deployed the voice bot making it capable of managing 90% of routine inquiries, allowing customer service representatives to focus on complex issues and increasing overall team efficiency by 60%. Collaborated with the Italian Business Unit to develop a project that enhanced forecasting capabilities for both renewable and non-renewable energy consumption by 80% through the application of AI/ML techniques, enabling more accurate and sustainable energy management decisions. Recognized as the youngest tech lead, overseeing 10-12 projects, including 3 client projects and several internal initiatives. Led a team to victory at the Generative AI hackathon during “re: publica Berlin 2024”, demonstrating innovation by surpassing 50+ competing teams with a breakthrough AI solution. Boosted social listening capabilities by 75% for TikTok by integrating advanced automated text generation and sentiment analysis tools using GPT-3 and BERT. Elevated conversational AI performance by 85% by leading the integration of GPT-3 and other generative models, driving more meaningful and accurate user interactions. Extended the reach and accessibility of AI-driven solutions by 75% by tailoring them to meet regional needs, significantly improving user engagement.

Developed a Sign Language Communication System for the SAHAYAK project, leading to a 80% improvement in communication efficiency for users by leveraging advanced computer vision techniques. Implemented real-time computer vision libraries like OpenCV and MediaPipe, resulting in a 95% increase in gesture recognition accuracy and responsiveness. Enhanced image processing capabilities, achieving a significant improvement in the reliability of sign language recognition through the application of advanced techniques. Collaborated on AI/ML integration, dramatically boosting the SAHAYAK system’s effectiveness through the seamless integration of machine learning models with computer vision libraries.