Aditya Chakravarthi

United States of America

About Me

I am a Master’s student in Computer Science at Arizona State University (GPA: 4.0), with a strong foundation in software engineering, data science, and machine learning. My academic and professional journey has been shaped by hands-on experience in developing scalable solutions, optimizing performance metrics, and leveraging cutting-edge technologies to solve complex problems. At Caterpillar, I enhanced object detection accuracy using YOLOv3 and optimized real-time model performance with innovative data pipelines and interactive dashboards. During my tenure at EvoluteIQ, I automated machine learning workflows, increased model fine-tuning efficiency by 35%, and streamlined database interactions using SQLAlchemy. Beyond work, my academic projects reflect a commitment to innovation, from deploying scalable face recognition services on AWS to fine-tuning large language models for logic reasoning tasks. I have a proven track record of building efficient, scalable systems using Python, Java, React, and cloud platforms like AWS. I am passionate about bridging the gap between AI research and real-world applications, focusing on driving efficiency, scalability, and innovation. Let’s connect to explore opportunities in machine learning, software engineering, and AI-driven solutions.

Overview