About

Ajeya Krishna is a Machine Learning Engineer at SaaS Labs with a passion for data science, machine learning, and deep learning. He has around a year's worth of experience in developing and implementing AI-integrated solutions for business use cases across various domains, including natural language processing. With expertise in designing software systems around machine learning, both on the cloud and on the edge, Ajeya has worked on end-to-end deep learning pipelines. At SaaS Labs, he is a part of the AI and ML team's conversational products division, where he is responsible for developing and implementing machine learning solutions for conversational AI products. Ajeya completed his post-graduate work in engineering physics at IIT BHU and has worked as a Machine Learning Engineer at SaaS Labs before his current role. He has also completed a Deep Learning Internship at the Indian Institute of Technology (Banaras Hindu University), where he employed transfer learning techniques to extract features of X-Ray and CT scans from pre-trained networks like ResNet50, InceptionResNetV2, and EfficientNet. He adapted different models such as SVC, Random Forest, and Neural Network for classifying COVID cases and achieved a 99.9% accuracy rate with X-ray images and 99.4% with CT scans. The COVID region in the lungs was segmented with a 94% accuracy rate. Ajeya's tech stack includes ML, Software Engineer, Deep Learning, AI, NLP, Data Scientist, Random Forest, and Neural Networks. With 0.86 years of relevant experience, he is a skilled professional who is constantly learning and upskilling himself to stay ahead of the curve.