Avi Patel

I am a versatile software developer specializing in building full-stack AI applications and automated workflows. With a strong foundation in Computer Science and hands-on experience in architecting and deploying deep learning solutions, I have successfully engineered an LSTM forecasting model to predict stock prices using Python and TensorFlow. My ability to develop resilient data pipelines has enabled me to handle multiple data sources effectively, overcoming real-world data and API limitations.

During my internship at Applied Technologies for Learning Arts and Sciences, I led the system architecture design for a real-time location tracking application. My work involved developing backend infrastructure using MongoDB geo-queries to manage geodata efficiently. Additionally, I enhanced user engagement by implementing real-time WebSocket connections in an audio/video summarizer tool, achieving a remarkable 300% improvement in runtime efficiency and 95% accuracy in translation and summarization tasks. I thrive in collaborative environments, presenting project milestones to stakeholders and driving UI/UX design efforts.