Khushal Mehta
Machine Learning Engineer Intern @Zintlr
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WORK HISTORY
Machine Learning Engineer Intern @Zintlr
Developed and optimized deep learning models using PyTorch and TensorFlow for logistics optimization. • Scaled ML inference pipelines to handle over delivery orders in real-time. • Implemented reinforcement learning and computer vision algorithms to enhance dispatch optimization. • Deployed and monitored production ML models on AWS, ensuring high performance and reliability.
EDUCATION
Western University
Bachelor's degree
Thakur Vidya Mandir
High School Diploma
ABOUT KHUSHAL MEHTA
Hello World! I\'m Khushal Mehta, a dedicated Computer Science student at Western University, driven by a strong passion for technology and its application in solving real-world challenges. My academic background has provided me with a solid foundation in core programming languages such as Python, Java, and C++, complemented by extensive experience in modern web development frameworks including React, Next.js, and TypeScript, alongside HTML/CSS.My professional and project work has allowed me to cultivate significant expertise in Machine Learning and Artificial Intelligence. I am proficient in developing and deploying deep learning models, implementing computer vision solutions, and working with generative AI. My technical toolkit includes frameworks like PyTorch and TensorFlow/Keras, and I have hands-on experience with cloud platforms such as AWS (SageMaker, Lambda, EC2) for MLOps practices, ensuring robust model deployment and monitoring. I\'ve also gained practical experience with various AI APIs and models, including Meta Llama 3, Google Gemini, Groq API, and Cloudflare AI.Through my Machine Learning experience, I\'ve engaged in architecting inference pipelines and deploying intelligent optimization models, showcasing my ability to apply advanced machine learning techniques in practical settings. My continuous learning has deepened my understanding of prompt engineering and predictive modelling.I am eager to apply my diverse skill set and innovative thinking within the tech industry, contributing to organizational success and developing impactful solutions that address pressing needs.
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