Summary
Srikanth Pagadala is an independent software consultant with about 20 years of experience spanning startups to Fortune 500s, currently advising a large banking organization on smartphone-check analysis and fraud detection using computer vision and deep learning. He is actively building AI-powered customer support with NLP and deep neural networks, including sentiment analysis, information extraction, and text summarization for call-center automation. He also serves as Technology Director for an investor firm in the Sacramento area, applying advanced ML, neural networks, and analytics to enhance client services. Previously a Cisco software architect for nearly a decade, he contributed to the Cisco Smart Suite and led real-time ML analytics within the Services IoT stack. Based in San Ramon, CA, he maintains a consulting practice and a portfolio at srikanthpagadala.github.io, while pursuing hiking, cooking, and travel outside work.
13 years of coding experience
8 years of employment as a software developer
Artificial Intelligence CS188, AI, Artificial Intelligence CS188, AI at University of California, Berkeley
Bachelor of Technology (BTech), Electrical, Electronics and Communications Engineering, Graduated with Honors in 95 percentile. 4.0 GPA, Bachelor of Technology (BTech), Electrical, Electronics and Communications Engineering, Graduated with Honors in 95 percentile. 4.0 GPA at Sri Venkateswara University College of Engineering
Machine Learning, ML, Machine Learning, ML at Coursera
Neural Networks for Machine Learning, NN, Neural Networks for Machine Learning, NN at University of Toronto
Stanford University, UC Berkeley, Udacity, Coursera
Convolutional Neural Networks for Visual Recognition CS231n, CNN, Convolutional Neural Networks for Visual Recognition CS231n, CNN at Stanford University
English, Hindi, Telugu