Highly skilled and results-driven Solution Architect specializing in deep learning technologies with comprehensive expertise across the complete NVIDIA stack. Proficient in leveraging cutting-edge GPU-accelerated solutions to architect, develop, and deploy innovative machine learning and AI-driven systems. Proven ability to translate complex business requirements into scalable, high-performance solutions, optimizing NVIDIA's hardware and software stack.Technical Skills :* Languages: Python, Dart for Flutter, Java Script for React* Backend: Git, REST, Flask, NodeJS.* Databases: MySQL, MongoDB, etc* Data Visualization: Matplotlib, Seaborn, Plotly, Tableau, Microsoft Power BI etc* Data Modeling: sklearn, tensorflow, pytorch, nltk, opencv, spacy, pyspark etc* Big Data: Hadoop* DevOps: Docker, singularity, Kubernetes, Slurms * Deployments: Docker, Triton inference server * Cloud: AWS EC2, NVIDIA NGC.Data Science and Engineering Skills :* Data Analysis: Exploratory Data Analysis and Data Visualization, Storytelling, Statistical testing * Machine Learning: Classification (Logistic Regression, SVM, Decision Tree, SLIQ, SPRINT, Random Forest, XGBoost, ANN, etc), Regression (Linear and Polynomial Regression), Optimization, Clustering (KMeans, DBScan, Hierarchical Clustering, Gaussian Mixture Models, etc), Association Rule Mining, Computer Vision (Image Preprocessing, Object Detection, Image Segmentation, CNN etc), Time Series Analysis, etcManagement Skills : * Requirement Gathering* Project Management* Problem Solving