Summary
Srikanth Pagadala is an independent consultant and seasoned software architect with roughly two decades of experience helping startups and Fortune 500s deliver production-grade systems across engineering, architecture, and executive roles. He now focuses on applied AI—building computer vision pipelines to analyze mobile check images for fraud and designing NLP/DNN-driven chatbots for call centers that handle sentiment, information extraction, summarization and categorization. A long tenure as a software architect at Cisco complements hands-on work as a technology director for an investor services firm and technical advisor for a medical device startup, showing his comfort moving between enterprise-scale systems and niche product teams. He blends deep practical skills in ML, neural networks, and real-time IoT analytics with a pragmatic engineering background in Java and integration middleware, and keeps current through coursework from Toronto, Stanford and Berkeley. Outside work he’s an avid hiker and home cook who often pilots new solutions end-to-end—from model prototyping to deployment in production.
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