Summary
Rushikesh Tade is an Advisory Data Scientist with 10 years’ experience building and deploying AI and deep learning solutions across computer vision, NLP and AR/IoT domains at IBM and earlier startups. He designs end-to-end systems—from GPU-trained DNNs (TensorFlow, Caffe) and object-detection models (YOLO, Faster R-CNN) to the cloud and edge infrastructure—often integrating 3D sensors (Realsense, Zed) and game engines for augmented-reality workflows. His projects span industrial use cases such as blast-furnace flame detection, steel slab defect inspection, digital twins and people-counting solutions that reduce lobby wait times and enable multilingual accessibility. Comfortable in both research and product contexts, he brings hands-on skills in CUDA, C++, Python and Unity, plus experience fusing SLAM with IMU data for robust AR. Notably, he pairs classical vision techniques (ORB/SIFT/LSH) with modern deep architectures to deliver production-ready models for diverse clients.
10 years of coding experience
9 years of employment as a software developer
Master of Engineering ( M.E.), VLSI AND EMBEDDED SYSTEMS, Master of Engineering ( M.E.), VLSI AND EMBEDDED SYSTEMS at Dr. D.Y. Patil School of Engineering
Diploma of Engineering, Electronics and Telecommunication, Diploma of Engineering, Electronics and Telecommunication at Nutan Maharashtra Vidya Polytechnic,Talegaon Dabhade
Bachelor of Engineering (BE), High School/Secondary Diplomas and Certificates, Bachelor of Engineering (BE), High School/Secondary Diplomas and Certificates at S.B. High School Telhara
Bachelor of Engineering (B.E.), Electronics and Telecommunication, Bachelor of Engineering (B.E.), Electronics and Telecommunication at S.B. Patil College of Engineering ,Indapur
English, Marathi, Hindi