About

Sai Kiran D is a Technical Lead at Trianz, with over 5 years of experience in the field of software engineering. He is a Google Cloud Architect and has expertise in various programming languages such as Golang, Python, and Django(IISC). Sai Kiran has a strong background in Machine Learning, Image recognition, Deep learning, Text classification, Tensorflow, Pytorch libraries, and Django. Sai Kiran has previously worked as a Consultant at Deloitte and as a Data Scientist at Modista Box. At Modista Box, he developed a Fashion-based image tagging model and worked on the RCNN, Fast RCNN, Faster RCNN, and RESNET, UNET model with Keras and Tensorflow. He also deployed the model in Compute engine, made a separate API with Flask, and dockerized the image. Sai Kiran integrated the API with Django Backend and developed Image Based Similarity with images data. He collected data from multiple tagging methods and combined the images data with tagged data with Particular the RCNN, Resnet models for continuous tagging. He made the Custom-based Loss function with a probabilistic-based approach where these images belong to particular tags with an approximation of 0.5 to 0.9. Where the model itself tags the data and stores it in Postgre SQL. He served as an API for the developers and used Postman for the API testing. He also worked on a Looks-based image where this particular model works for the looks based on the images of fashion models, it is a recommendation engine(collaborative filtering method) and Cosine similarity, SVM Algorithms. Sai Kiran has a Bachelor of Engineering degree in Electrical and Electronics Engineering from Hindustan University. He is proficient in SQL, Keras, Flask, and Backend. Sai Kiran is a skilled researcher and data scientist with a strong understanding of deep learning and machine learning concepts. He is an expert in ResNet, SVM, and has experience in text classification. Overall, Sai Kiran is a highly skilled technical lead with a strong background in software engineering and machine learning.