I am a Computer Science & Engineering student passionate about Cloud Computing, Artificial Intelligence, and Machine Learning. I aspire to become an AWS Cloud Architect. With hands-on experience in building cloud-native solutions, AI-driven applications, and ML pipelines, I thrive on solving real-world challenges through innovative technologies.
My journey in tech began with a curiosity about how things work, which has evolved into a passion for creating solutions that make a difference. I enjoy working on projects that combine cloud infrastructure with intelligent systems to create impactful applications.
Cloud-ready AI chatbot for Alzheimer's screening and recommendations using Explainable NLP and secure role-based workflows.
End-to-end ML pipeline (FastAPI, Docker, AWS) predicting online student completion from real engagement data.
Full-stack web portal for college workflow: academics, assignments, dashboard, file uploads, and real-time notification system.
Personal static portfolio hosted on AWS S3 and CloudFront for global high-availability and automated disaster recovery.
Fundamental concepts and applications of AI technologies.
Job simulation focused on cloud design, migration planning, and cost optimization.
Comprehensive course on cloud computing principles and architectures.
Advanced concepts in designing and implementing cloud solutions.
Completed tasks on cloud design, migration planning, and cost optimization for various business scenarios.
Worked on cloud projects including Bus Pass System, Data Redundancy Removal, and SQL Injection Prevention systems.
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