I'd describe myself as being very resourceful and ambitious at the same time. I seem to be very good at intuitively finding solutions to scientific problems(Maths & Software design) . I've strive to complete software development and data science projects with great quality . Skills: Algorithm implementation Programming Languages (C#,Python, C++, Rust) Cloud Computing Quantitative research Entrepreneurship Data scientist Mathematical modelling Project Management Ai & Deep Learning Research

I am a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with 𝟱+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 in ML development and 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗶𝗻 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, combining strong analytical expertise with a deep understanding of product strategy and real business goals. I build end-to-end data and ML solutions — from data ingestion and feature engineering to model development, deployment, evaluation, and integration into production systems. My work focuses on delivering 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹, 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 while ensuring a smooth collaboration with your team and alignment with your business objectives. 𝗠𝘆 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀 𝗶𝗻 𝗲𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁: 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 𝗿𝗼𝗯𝘂𝘀𝘁, 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 I focus on building systems that are reliable, maintainable, and ready for real-world use — not just prototypes. 𝗘𝗻𝘀𝘂𝗿𝗲 𝗮 𝗰𝗹𝗲𝗮𝗿, 𝘁𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁, 𝗮𝗻𝗱 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝘃𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 Keep communication open, align expectations early, and maintain predictable, organised delivery. 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗮𝗻𝗱 𝗮𝗱𝘃𝗮𝗻𝗰𝗲 𝗿𝗲𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗴𝗼𝗮𝗹𝘀 Technical decisions are guided by measurable impact, user needs, and long-term value for the product. 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗲 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗮𝗻𝗱 𝗺𝗲𝗲𝘁 𝗰𝗼𝗺𝗺𝗶𝘁𝗺𝗲𝗻𝘁𝘀 I surface risks early, provide regular updates, and honour deadlines through structured planning. 𝗚𝗿𝗼𝘄 𝘁𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 — 𝗮𝗻𝗱 𝘁𝗵𝗲 𝘁𝗲𝗮𝗺 — 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗰𝗹𝗮𝗿𝗶𝘁𝘆 Help shape scalable architecture, improve processes, and support a culture of thoughtful, data-driven decision making. 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝗮𝗻𝘆𝘁𝗶𝗺𝗲 - 𝗜’𝗺 𝗼𝗽𝗲𝗻 𝘁𝗼 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗮𝗻𝗱 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗺𝗼𝘃𝗲 𝗶𝘁 𝗳𝗼𝗿𝘄𝗮𝗿𝗱!

As a Rhodes Scholar with a doctorate in theoretical physics from Oxford University, I am well versed in both the scientific and creative arts. Whether your project requires an analysis of data, a design of apparatus, or a literal presentation of information, you can put me to work with confidence that the final product will exceed your expectations. My publications appear regularly in reputable journals and cover a wide range of topics. My consultancy Alphawave Research can help you address many of your technical needs, whether academic, commercial, or industrial, on a tight schedule and with spectacular results. What I practice is best described as inductive reasoning, otherwise known as inferential statistics. Inferential statistics encompasses both descriptive statistics (e.g. hypothesis testing) and predictive statistics (e.g. forecasting). A good description of what I do is found in D. S. Sivia's Data Analysis: A Bayesian Tutorial. That book is a quick read and easily skimmed, so if you can find it in your library or bookstore, please have a look at it. If you like what's going on there, you'll like what I can do for you.

Most AI agents fail in production. Not because the idea was wrong — but because very few people have actually mastered how to engineer production-grade AI agents. I design and build production-grade AI agents and automation systems with full architectural control. I take ownership of how systems behave once real users, real data, and real business constraints are involved. I’m Moamen Mohamed — an AI Agents Engineer with full-stack expertise. I’ve completed 22 jobs and 1,000+ hours of development work on Upwork, much of it built using AI coding assistants as part of my daily workflow. I’ve mastered tools like Cursor and Claude Code to accelerate delivery — while keeping judgment, system design, and architecture firmly under my control. I don’t treat AI as a feature. I treat it as a system that must be reliable, observable, and maintainable. What I build 🚀 • AI agents and chatbots engineered for production • RAG systems designed for accuracy and stability • Multi-agent workflows with clear orchestration • Internal AI tools teams actually use • Dashboards and operational interfaces • End-to-end AI SaaS products • Automations and integrations using n8n and no-code tools • Trading bots and financial-market automations built with the same discipline How I work 🎯 AI coding assistants and no-code tools are leverage — not authority. I move fast where appropriate, while staying fully responsible for architecture, agent behavior, and long-term maintainability. Speed comes from experience. Reliability comes from discipline. Why clients choose me 🔒 • 22 completed jobs and 1,000+ hours on Upwork • Deep experience across full-stack development, AI agents, and financial workflows • Selective engagement to protect quality and focus If you’re building the next great product — or want your business to operate faster and more efficiently by using AI properly — we’ll work well together.

Most companies don’t have a data problem They have a data architecture problem TBs of raw data sitting in pipelines that break, dashboards that lag, ML models that never make it to production, and AWS bills that grow faster than the infrastructure itself That’s where I come in I’m Shoaib, a Senior Data Engineer and AWS Solution Architect (SAA Certified) with 5+ years of experience building scalable data platforms, real-time pipelines, and AI/ML systems for healthcare, finance, and large-scale SaaS products I specialize in designing systems that process massive datasets, deliver reliable insights, and keep infrastructure costs under control Over the years I’ve helped companies: • Process TBs of healthcare and financial data using Spark, Kafka, and AWS data lakes • Build real-time streaming pipelines handling 1M+ requests/hour • Reduce cloud infrastructure costs by up to 50% through architecture optimization • Deploy AI/ML systems for healthcare prediction, stock forecasting, and medical transcription • Implement fault-tolerant data architectures on AWS following the Well-Architected Framework My work sits at the intersection of Data Engineering, Cloud Architecture, and AI/ML systems ------------------------------------------------------------------------------------------ Core expertise Solution Architecture AWS scaling, cost optimization, fault tolerance, CI/CD pipelines, cloud migrations Data Engineering Real-time streaming, batch pipelines, TB-scale data processing, CDC pipelines, CEP workflows, data lakes, governance, BI systems AI / ML Systems Predictive models, GenAI applications, RAG systems, domain-specific AI assistants ------------------------------------------------------------------------------------------ Tech Stack AWS (Glue, S3, EMR, Redshift, Athena, SageMaker, QuickSight) Apache Spark, Kafka, Flink, Hadoop, Hudi Snowflake, Postgres, MongoDB Python, SQL PyTorch, TensorFlow, LangChain, MLFlow ------------------------------------------------------------------------------------------ I’ve worked extensively with healthcare data (HIPAA compliant systems), financial time-series data, and large-scale event streaming platforms, helping teams turn messy data ecosystems into scalable, production-grade data platforms If you're looking for someone who can design the architecture, build the pipelines, and integrate AI/ML into real systems, I’d be happy to help ------------------------------------------------------------------------------------------ Keywords: Data Engineering, Big Data, Data Pipelines, ETL, ELT, Data Architecture, Data Lake, Data Warehouse, Real-Time Data Processing, Streaming Data, Batch Processing, Apache Spark, Apache Kafka, Apache Flink, Hadoop, Apache Hudi, Airflow, Apache NiFi, Snowflake, Snowpark, PostgreSQL, MongoDB, SQL, Python, Data Modeling, Data Governance, Data Quality, Master Data Management, CDC, Change Data Capture, CEP, Complex Event Processing, Data Integration, Data Migration, Data Analytics, Business Intelligence, Apache Superset, AWS QuickSight, Redshift, Athena, Data Visualization, AWS, AWS Architecture, AWS Solution Architect, AWS Cloud Architecture, AWS Cost Optimization, AWS Scaling, Fault Tolerant Systems, AWS Infrastructure, AWS Glue, AWS EMR, Amazon S3, AWS Redshift, AWS Athena, AWS Lambda, AWS CI/CD, Cloud Migration, Cloud Optimization, Distributed Systems, High Availability Architecture, Scalable Systems, Machine Learning, AI Engineering, AI Development, Generative AI, GenAI Applications, Agentic AI, Predictive Analytics, Model Training, Deep Learning, PyTorch, TensorFlow, Scikit-Learn, XGBoost, Time Series Forecasting, ML Pipelines, MLFlow, Feature Engineering, Model Deployment, AWS SageMaker, AWS Bedrock, LangChain, RAG, AI Chatbots, NLP, AI Automation.

I would love to help with your development and assist to your request .Specialties - ✅ AI Integration & Deployment: Build and integrate end-to-end AI solutions into real-world products and platforms. ✅ Traditional Machine Learning: Skilled in regression, classification, clustering, ensemble models, feature engineering, and model evaluation. ✅ Deep Learning: Experience with neural networks (CNNs, RNNs, LSTMs), image & text processing using TensorFlow and PyTorch. ✅ NLP & Generative AI: Proficient in sentiment analysis, summarization, embeddings, transformers (BERT, GPT), and custom LLM-based pipelines. ✅ Agentic AI & Prompt Engineering: Develop multi-agent systems (e.g., CrewAI) and design context-aware, effective prompts for LLMs. ✅ MLOps & Model Deployment: Familiar with MLflow, Docker, FastAPI, Streamlit, CI/CD pipelines, and cloud deployment (AWS, GCP, or Azure). ✅ Data Analysis & Visualization: Strong EDA, statistical analysis, dashboarding (Plotly, Power BI, Matplotlib, Seaborn). ✅ Programming & Tools: Python (NumPy, Pandas, Scikit-learn), SQL, Git, VS Code, Jupyter, LangChain, Hugging Face, OpenAI/TogetherAI APIs.

I work on machine learning and statistical data analysis with Python. I have a Master’s in Computational Physics, and I’m used to working with noisy data, testing models carefully, and turning complex data into clear results. What I can help with: Machine learning Statistical analysis Data cleaning Python automation Data visualization Clear reports

An omnibus developer with ability to deliver efficient software solutions to make sure that my clients achieve maximum optimization. I've worked on Data- Analysis to deliver insights, Machine Learning solutions and AI-Agents, Full- stack scalable and robust software solutions, Cloud Database Management, Automation, Scripting, Blockchain and finance tools. I'm also an avid trader and experienced virtual assistant with a comprehensive understanding of investment strategy, global technological innovations and trends.

As a CFA® charterholder and outsourced CFO with over 20 years of experience, I translate your business plan into sophisticated, easy-to-understand financial models that investors and lenders trust. I specialize in two key areas: For Startups: I deliver comprehensive 3-statement models, SaaS/e-commerce KPI analysis (LTV, CAC, Churn), and budgets that are crucial for securing venture capital and angel investment. For Real Estate: I create in-depth acquisition and development pro-formas, complex IRR waterfalls for partnerships, and cash flow analyses for multi-family, commercial, and hospitality assets. My process is collaborative and results-oriented, combining institutional-level rigor with a hands-on approach.

🖥️ Professional Data Scientist and Data Analyst with 5+ years of experience 🧠 Expert in building high-accuracy machine learning models 🔢 Skilled in delivering reliable, data-driven solutions Check out what I offer: 🚀 Machine Learning & Prediction Systems - Analyze and train machine learning models, including binary classification, linear regression, and multi-class classification - Apply advanced machine learning techniques like XGBoost, Decision Trees, and Support Vector Machines to create accurate predictions 🚀 Data Analysis & Modelling - Perform comprehensive Exploratory Data Analysis (EDA) to uncover patterns, detect outliers, and reconcile the data - Generate insightful reports from large datasets using data visualization tools and statistical analysis 🚀 Data Processing & Transformation - Data integration, validation, and transformation to ensure quality and consistency - Expertise in handling missing data, data deduplication, and outlier detection - Proficient in feature engineering, preparing datasets for robust machine learning applications 🚀 Automation & Workflow Optimization - Develop Python-based solutions to automate workflows and enhance efficiency - Provide evaluation and data analysis on Excel, leveraging VBA and advanced formulas Tools & Skills 🔹 Expertise in AI/Machine Learning: Linear Regression, Logistic Regression, XGBoost, Decision Tree, Random Forest, Support Vector Machine, PCA, K-mean 🔹 Programming Environment/Tools: Python (numpy, panda, matplotlib, scikitlearn), SQL, VBA, Excel 🔹 Specialisation: Data Scientist, Data Analyst, Machine Learning, IT Developer, Python, SQL, Excel 🔹 Communication: Strong skills to present findings effectively to stakeholders If you're looking for an expert in Python and SQL, familiar with advanced machine learning and data visualization tools, who can analyze large datasets and deliver actionable insights, let’s connect!