
Results-driven Software Engineer with 3+ years of experience designing scalable backend systems, distributed data pipelines, and RESTful APIs for high-volume, mission-critical platforms. Proven track record of optimizing system performance - reducing deployment latency by 30% and improving throughput by 25% - across banking and AI infrastructure domains. Proficient in Python, Java, AWS, Apache Spark, and microservices architecture, with hands-on expertise in CI/CD, Docker, and Kubernetes. Passionate about AI and machine learning, demonstrated through impactful projects in bias detection, virtual try-on platforms, and automated content systems. Currently pursuing an M.S. in Artificial Intelligence at the University of Florida (GPA: 3.78), with a strong foundation in system design, cloud computing, and Agile methodologies
Getting Started with Deep Learning - NVIDIA
Microsoft Certified: Azure Fundamentals
Introduction to kubernetes
Getting started with Docker
Introduction of Basics of Azure Services
AWS Cloud Technical Essentials
Google Cloud Platform Fundamentals: Core Infrastructure
Python for Data Science, AI & Development
Problem Solving(Basic)
Python (Basic)