I am an Artificial Intelligence undergraduate with hands-on experience in building real-world AI/ML and software solutions, currently working as a Programmer Analyst Trainee at Cognizant. I have developed scalable backend systems, including a multi-role stock portfolio management platform with secure authentication and efficient API architecture, while also gaining strong exposure to full-stack development and enterprise workflows.

My core strength lies in applying machine learning and data-driven techniques to solve practical problems. During my internship at Skyhighes Technologies, I worked on multiple ML projects achieving up to 85% accuracy, spanning areas like computer vision, recommendation systems, and reinforcement learning. I have also built end-to-end pipelines, including data preprocessing, model development, and deployment-ready solutions, supported by tools like Python, TensorFlow, PyTorch, and SQL.

I am particularly interested in combining AI with real-world applications—whether it’s predicting customer behavior, detecting crop diseases, or building intelligent dashboards. With a strong foundation in data structures, algorithms, and statistical modeling, I focus on writing efficient, scalable, and impactful solutions.

Driven by continuous learning and problem-solving, I aim to grow into a role where I can contribute to building intelligent systems that create measurable value.