A professionally innovative and self motivated software professional in the field of R&D, Machine Learning, Deep Learning, Computer Vision, Image Processing, Data Science, IOT and AI Application development. Worked on different projects on Linux platform, Raspberry pi, Rock64, Opencv, OpenCL, OpenGLES, Mali GPU, Nvidia, Yolo Darknet, Darkflow, MXNet, TensorFlow, Caffe, Keras, Dlib and PyTorch. - Human Detection, Face Detection, Object Detection and Recognition with CNN, RNN and convolutions. - Lean Detection using Different algorithm for Driver less car and Open pose Estimation. - Automatic Number Plate Detection and identification Recognition using Tesseract Ocr, OpenALPR , LBP. Strong Hold on Python and C++. Core Competencies • Architectural Design: Solution Architecture, Systems Integration, Cloud Solutions (AWS, Google Cloud), Docker, Kubernetes • Machine Learning & Deep Learning: Supervised, Unsupervised and Reinforcement Learning, Model Development (Random Forests, Neural Networks, SVM, CNN, Decision Tree), Computer Vision, NLP, MLOps, Git, and continuous integration/deployment (CI/CD) • Data Modeling : Data profiling, Data analysis and modeling. • Programming: Python, R, C++, Java • Technologies: TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib • Project Management: Agile Methodologies, Budget Management, Cross-functional Team Leadership