Summary
Sudeshna Roy is a software engineer with a decade of experience blending research-grade computer vision and production ML engineering, currently at Google across Bengaluru and Mountain View. She holds a master's in Computer Vision from IIT Madras and has strong hands-on expertise in deep learning (CNNs, LSTMs), LLMs for education, graph embeddings and probabilistic graphical models, plus practical systems skills in REST APIs, SQL/noSQL and search tooling like Elasticsearch. Her background spans research roles at Xerox and VideoKen and product-focused engineering at PayPal, giving her a rare ability to translate saliency detection and object segmentation research into scalable services. Proficient in C++, Python and Java, she is comfortable across the stack from model development with TensorFlow/Caffe/OpenCV to data pipelines (Hive/Pig) and observability. Notably, she combines academic rigor with production impact, often applying graph-based link prediction and recommendation techniques to real-world products.
9 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Madras
High School Science, High School Science at Barisha High School
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at Institute Of Engineering and Management
English, Bengali