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I'm passionate about designing, building, and deploying Data/AI solutions as an end to end product on cloud platforms such as AWS and Google Cloud. I've worked with organizations of all sizes on two continents, from Fortune 250 companies to small startups. I'm a mentor to various AI startups and data science enthusiasts. I'm using machine learning and data engineering to create a seamless, empowering, and personalized experience for online shoppers. Alumni of American Express and Deloitte with a strong computer science background and 10+ years of industry experience in implementing data-driven solutions to solve challenging business problems. **AI/ML Projects** * Large Scale ETL Pipeline * Python API/Web Development using Flask, Streamlit * Machine Learning Feature Store (Offline and Online) \[U.S Patent Filled\] * Data Quality Monitoring (DQM) - Features and Model * Near Real Time Model Training & Inference * Low Latency (Single digit MiliSecs), Highly Scalable & Consistence MLOps Pipelines * Ads Targeting (Ads Tech/ Google Ads ) * User Personalization ( Recommendation Engines) * Conversational AI (NLP Chatbot) * MultiModel LLM based Job Notifications \[U.S Patent Filled\] **Technologies/Skills:** * Solid foundation in Computer Science (data structures, algorithms, ML system design) * Automation using CI/CD , AWS CDK, Serverless, API, Docker, Web App, ETL * Big Data Technologies such as Apache Spark, Hadoop, Map/Reduce, BigQuery, Airflow * Amazon Web Services: EMR, Sagemaker, Glue, DynamoDB, Events, Lambda, Step Functions, RDS, Fargate, ECS, ECR, EC2 * Google Cloud Platform: BigQuery, Cloud Functions, Google AI Platform * Machine Learning frameworks such as Spark ML, Scikit-Learn, AutoML, TensorFlow
Generative AI artisan, with a background in financial services. Fluent in French, English, Arabic, and proficient in Python, I am currently exploring new career opportunities where I can integrate my diverse skills and innate curiosity. Passionate about the development and creation of AI applications: built NarrateNews, InQuire, Instructo and currently (re)building Stewee - a tiny music generation model.
Experience in developing and automating the operationalization of Machine Learning models using AWS SageMaker (MLOps pipelines & CI/CD pipelines) Experience leading and training MLOps developers Experienced in the latest Generative AI technologies, focusing on LLM-powered applications, including RAG, Pinecone, Amazon OpenSearch, Langchain, and Amazon Bedrock. Deep understanding of different Machine Learning core concepts and algorithms Experience in using Deep Learning frameworks (TensorFlow, Pytorch, Keras) Strong background in Python (pandas, NumPy, scikit-learn, Flask, OpenCV, nltk, FastAPI, pytest. . . ) Experience in data collection, cleaning, standardization, exploitation and visualization Committed to clean code, best practices, and optimizing performance
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