With a foundation in Computer Science and Engineering and currently pursuing my MS in Data Science at the University of New Haven, I focus on developing innovative AI and machine learning solutions to drive impactful results. My experience spans areas such as predictive modeling, neural networks (CNNs, RNNs), NLP, and data visualization, with proficiency in tools like Python, TensorFlow, and SQL.Professional Highlights:AI Engineer at Purview, where I developed assistive tech for Vuzix Smart Eyewear and integrated object detection with voice commands.Cyber Security Engineer at CDAC, where I conducted vulnerability scanning and implemented secure data transfer solutions.Awarded “Best Paper” at AICTA’23 for research on neural networks in malware detection.Core Skills:Proficient in machine learning, NLP, feature engineering, and model performance tuning.Experienced in data analysis, cloud computing, and version control (Git).Strong programming skills in Python, C/C++, and SQL.Projects I’m Proud Of:Pulmo-Detect: A CNN-based lung cancer detection model.Driver Drowsiness Detection System for JPMorgan Chase, using computer vision and machine learning.Fall Detection and SOS System: An Android app designed for real-time safety alerts.