Syed Muhammad A.

I'm an accomplished Machine Learning Engineer and Data Scientist with more than 5 years of experience working on ML and analytics projects independently as well as leading the ML, Web, and Mobile Apps teams. I've designed and built large and extensive pipelines of ML projects, data streaming, and deploy models on the cloud and integrations into iOS and Android applications. I have a strong understanding of exploratory data analysis to understand and interpret the data to find the impact on business. Throughout my experience, I've gained expertise in the following domains **Training Pipelines** ☑️ Collection of data and annotations ☑️ Training of models on the GPU clouds **Computer Vision Models** ☑️ Face Detection and Recognition ☑️ Pose Estimation ☑️ Object Detection ☑️ Segmentation ☑️ Stitching (Panorama Stitching) ☑️ Homography Warping **Natural Language Processing Models** ☑️ Question Answering ☑️ Named Entity Recognition ☑️ Sentiment Analysis ☑️ Similarity Detection ☑️ Speech to Text ☑️ Chatbots ☑️ Passage Re-Ranking ☑️ Document Layout Token Classification Models **Recommendation Systems** ☑️ Recommendation based on watched/visited history ☑️ Recommendation based on interest ☑️ Recommendation based on search ☑️ Popularity based recommendation ☑️ User-based and items based recommendations **Predictive Analytics** ☑️ Time Series Forecasting ☑️ Anomaly Detection ☑️ Root Cause Analysis ☑️ Key Performance Indicators (KPIs) development ☑️ Data Interpretations ☑️ Hybrizing the forecasting models with improved accuracy **Data Visualizations (2D and 3D)** ☑️ Matplotlib ☑️ Seaborn ☑️ Visualization of Data in Web and Mobile Apps ☑️ Tableau ☑️ Pyrender ☑️ Open3D ☑️ Point Clouds ☑️ Affine and Projective Transformation of Images **Back-ends** ☑️ Flask APIs ☑️ NodeJS APIs **Databases** ☑️ MySQL ☑️ MongoDB ☑️ Cassandra ☑️ Redis ☑️ Elastic Search **Deep Learning Frameworks** ☑️ TensorFlow ☑️ TensorFlow Light (+ iOS and Android Frameworks) ☑️ Pytorch ☑️ HuggingFace ☑️ MediaPipe ☑️ AutoML ☑️ TensorFlow Research/Official Models (GitHub Projects) ☑️ CoreML ☑️ MATLAB **Other Frameworks used in Machine Learning** ☑️ Scikit-Learn ☑️ XGBoost ☑️ OpenCV ☑️ NumPy ☑️ SciPy ☑️ SymPy ☑️ Pandas **ETL Tools** ☑️ WSO2 ☑️ Siddhi Scripting ☑️ Apache Kafka ☑️ Debezium Connectors ☑️ Change Data Listeners (CDC) **Clouds** ☑️ AWS Elastic Compute Cloud (EC2) ☑️ Elastic Bean Stalk ☑️ Kubernetes (EKS) ☑️ Lambda Functions ☑️ S3 Storage ☑️ Google Cloud Platform ☑️ Digital Ocean + I've designed large and auto-scaleable cloud architects for large-scale applications. I have the expertise to manage the heavy traffic to the applications. I've experienced with creating instances on all these platforms + I'm very good in Mathematics (especially linear algebra, stats, calculus, differential equations, and functional analysis) which helps me to improve the performance of models, image processing, transformations, statistical analysis, etc.