Aayan Zaidi

I have completed my Bachelor of Technology in Artificial Intelligence from SRM Institute of Science And Technology with an 8.8 GPA and have developed strong technical skills in Machine Learning, Computer Vision, Deep Learning, NLP, Data Visualization, FastAPI, SQL, and Python. I have worked on multiple AI-based projects including a Facial Video-Based Heart Rate Monitoring System published in an international journal, a Brain MRI Tumor Detection System, a Facial Attendance Recognition System using Firebase and OpenCV, and various data analysis and computer vision projects. Along with academics, I have also completed internships in AI/ML and Machine Learning Operations.

Recently, I worked as a Machine Learning Operations Intern at Prasunet IT Consulting where I contributed to real-world machine learning projects, implemented hyperparameter tuning techniques, and supported model deployment documentation and optimization processes. I also completed an AI internship with Agnirva AI Internship Program, where I worked on research related to emerging AI technologies and Natural Language Processing models for sentiment analysis. Additionally, during my AI/ML internship at Cogent E Services Limited, I handled data preprocessing, visualization, feature selection, and predictive model development for business-oriented applications.

My key achievements include publishing a major project on Facial Video-Based Heart Rate Monitoring in an international journal, developing multiple AI and computer vision projects such as Brain MRI Tumor Detection and Facial Attendance Recognition systems, and maintaining a strong academic performance with an 8.8 GPA in Artificial Intelligence.

I have completed several industry-recognized certifications and technical training programs to strengthen my knowledge in Artificial Intelligence, Machine Learning, Data Science, and Programming. My certifications include Python Essentials 1 from Cisco Networking Academy, Databases and SQL for Data Science with Python and Deep Neural Networks with PyTorch from IBM, and Supervised Machine Learning: Regression & Classification from Stanford University. I have also completed Data Science training through IBM’s professional courses on Coursera.

Along with these certifications, I received practical industry training during internships focused on Machine Learning Operations, AI research, Natural Language Processing, predictive analytics, data visualization, and model development, which helped me gain hands-on exposure to real-world AI applications and workflows.