✅ Top-Rated Upwork Freelancer ✅ 5 Star Rated ✅ 400+ hours worked ✅ 21 Jobs Completed Hi there! 👋 Data Scientist and Full-Stack Engineer with 10+ years of experience across LLM chatbots, data pipelines, web scraping, and cloud systems. I’ve built GPT-4 agents with LangChain, automated data collection at scale, and developed ML workflows for NLP, prediction, and classification. 🔹 Data Science & ML Python, Pandas, Scikit-learn, TensorFlow, Deep Learning, NLP, ANN, R, Apache Spark, MLlib, Data Mining, Data Analysis 🔹 LLM / Chatbots / NLP GPT-4, OpenAI API, LangChain, Prompt Engineering, RAG, Vector Embeddings 🔹 Web Scraping & Automation Selenium, Playwright, BeautifulSoup, Requests, Scrapy, anti-bot evasion, Google Sheets sync, automated form extraction, high-volume batch scraping 🔹 Cloud & DevOps AWS (EC2, S3, ECS, Lambda, API Gateway), GCP, Kubernetes, Terraform, Jenkins, CI/CD, ArgoCD 🔹 Full Stack Web Development React, Vue.js, JavaScript, Node.js, PHP, Laravel, HTML/CSS, WordPress, Shopify 🔹 APIs & Integration Custom Python APIs, RESTful APIs, SaaS platforms, third-party cloud tools, webhook automation Whether it's training ML models, powering chatbot logic, extracting web data, or deploying scalable systems—I handle the full workflow from data to production. 𝗪𝗵𝗲𝘁𝗵𝗲𝗿 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝗮 𝗰𝘂𝘀𝘁𝗼𝗺 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹, 𝗮 𝘄𝗲𝗯 𝘀𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝘁𝗼𝗼𝗹, 𝗼𝗿 𝗵𝗲𝗹𝗽 𝗮𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴 𝗱𝗮𝘁𝗮, 𝗜’𝗺 𝗲𝘅𝗰𝗶𝘁𝗲𝗱 𝘁𝗼 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂 𝗮𝗻𝗱 𝗯𝗿𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘃𝗶𝘀𝗶𝗼𝗻 𝘁𝗼 𝗹𝗶𝗳𝗲. Let’s chat about how I can help make your project a success! 🚀 𝗕𝗲𝘀𝘁 𝗥𝗲𝗴𝗮𝗿𝗱𝘀 Mubashir Babar.

I build end-to-end data platforms — from raw source ingestion through dbt transformation to production dashboards — on Snowflake, BigQuery, Databricks, Sigma Computing, and Looker. One consultant who owns the full stack: ETL pipelines, cloud data warehouse, data modeling, and the BI reporting layer your team actually trusts. Founder of Warehows Analytics. Official partner with Snowflake, dbt, Databricks, and Sigma Computing. 32+ projects delivered across SaaS, e-commerce, fintech, healthtech, cybersecurity, and private equity. Top Rated Plus with 100% client satisfaction. $2.3M+ saved in client infrastructure costs. Stack: Snowflake, BigQuery, Databricks, dbt, Airflow, Fivetran, Airbyte, Hevo, Sigma Computing, Looker, Power BI, Superset, Streamlit, Python, SQL, FastAPI What I have delivered: - Fortune 500 — Oracle to Snowflake migration. 10M+ records/day CDC pipelines. Query times down 85%, costs down 60%. - $50M e-commerce brand — unified Google Ads, Facebook, email, and organic data. Single attribution model. ROAS from 3:1 to 7:1. - Finance SaaS (finsightsai.tech) — multi-tenant embedded analytics on Snowflake + Sigma serving 80+ customers. Sub-second queries. Built end to end: ingestion, dbt models, UI, LLM-powered insights. - Multi-brand e-commerce (4 brands) — Shopify, WooCommerce, QuickBooks, and ad platforms consolidated into Databricks + Looker. +65% marketing ROI. 80% less reporting time. - Cybersecurity startup — BigQuery warehouse consolidating Salesforce, RB2B, and product data. dbt-modeled attribution resolved three conflicting definitions of "converted lead." - Creative & PR agency — 50K+ customer reviews processed. AI sentiment analysis. Sigma dashboards. Client onboarding from 6 weeks to 1 week. - Veterinary clinic group — manual Excel to live cross-clinic dashboards. Airbyte + Airflow + dbt + Snowflake + Sigma. 10x faster onboarding. - Energy PE firm — Snowflake Cortex Analyst. Natural-language queries over sensitive portfolio data. - eMarketer — Snowflake reporting replacing 3-week manual Excel process. Runs daily, untouched. Services: - Cloud data warehouse design (Snowflake, BigQuery, Databricks) - ETL/ELT pipelines (Fivetran, Airbyte, Hevo, custom Python) - dbt transformation with testing, documentation, and semantic layer - BI dashboard development (Sigma, Looker, Power BI, Superset, Streamlit) - Embedded analytics for SaaS products (multi-tenant, row-level security) - Marketing attribution and revenue reporting - Data migration from legacy systems (Oracle, Talend, on-prem) - AI/LLM integration (RAG, conversational analytics, Cortex Analyst) Why this matters: data projects fail when nobody owns both ends. The pipeline engineer builds what was specified. The analyst reports what was delivered. Nobody checks whether either matches what the business needed. I hold the full picture — from raw source to executive dashboard — so the numbers your team sees are the numbers your finance team agreed to. Every model has tests. Every pipeline has monitoring. Every dashboard traces to a definition settled before the first chart was built. Send me a message. I respond the same day. Top Rated Plus · 32+ Projects · Snowflake Partner · dbt Partner · Databricks Partner · Sigma Computing Partner

Specialist in Machine Learning/Deep Learning with various projects including Machine learning models, Clustering, Image Recognition, CSV text classification, Time-Series Forecasting, Cleassification, Prediction and Detection task. As a Data Scientist, I provide solutions of your problems using python, Machine Learning & Deep Learning. Moreover I have command on Statistical software SPSS. I can provide you with descriptive and inferential statistics, F-test, the t-tests, DoE and regression analysis and many more.... I have expertise in the following domains: ✔️Machine Learning ✔️Deep Learning ✔️Exploratory data analysis ✔️Digital Image Processing ✔️Object-Oriented Programming ✔️Data Structures ✔️Data Mining ✔️Data Visualizations ✔️Data Extraction Project on which I have worked: ✅ Classification Date seed through CNN ✅ Assessment of potential neutraceutical for cancer computational method ✅ Early detection of lung cancer through deep learning ✅ Prediction of weather data using SK Learn Models ✅ Binary Classification and Multi Classification of images ✅ Annotation and Augmentation

Do you need to assign staff, optimize routes, plan resources, or automate complex decisions that currently take hours of manual work? I build custom optimization engines that generate: - Daily or weekly employee schedules - Optimal delivery routes - Workload-balanced assignments - Cost-minimized plans - Resource allocation under complex constraints Using Python + OR-Tools, I build systems that reduce operational time and cost, with models tailored precisely to your business rules, constraints, and KPIs.

Hi there! I'm Sayed, a passionate data scientist with a strong foundation in machine learning and artificial intelligence. I specialize in building end-to-end, data-driven solutions that are robust, scalable, and impactful. With extensive hands-on experience in developing and deploying AI-powered applications, I strive to solve complex problems and deliver actionable insights to drive business success. What I Bring to the Table Machine Learning Expertise: Proficient in training and fine-tuning advanced ML models, including traditional ML techniques with scikit-learn and deep learning architectures (TensorFlow, PyTorch). End-to-End Development: Skilled in deploying ML applications using FastAPI, (Streamlit or Gradio) and Docker, ensuring user-friendly interfaces and scalable solutions. Data Analysis & Visualization: Expert in extracting actionable insights using Python libraries such as Pandas, Matplotlib, and Seaborn. Problem-Solving: Proven ability to tackle data structures and algorithm challenges, with over 450 problems solved on platforms like LeetCode and Codeforces. Web Scraping: Proficient in scraping and collecting data using tools like Beautiful Soup and Scrapy for analysis and research. Highlighted Projects Microscopic Medical Parasitology Classification: Fine-tuned a ResNet101V2 model for accurate classification of parasite species. Deployed on Azure Web Services with an interactive user interface for seamless accessibility. Customer Churn Prediction System: Developed a predictive model using advanced ensemble methods (XGBoost, LightGBM) and integrated it with a Flask-based application for real-time user predictions. Containerized the solution for efficient deployment. Digit Recognition App: Created a TensorFlow-Keras-based application for digit recognition, featuring a Streamlit interface for an intuitive and interactive user experience. Tools & Technologies Programming Languages: Python, SQL, C++, MATLAB Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn Development & Deployment: Docker, Flask, Django, Streamlit Data Visualization: Matplotlib, Seaborn Version Control: Git, GitHub Education & Certifications Bachelor’s in Computer Engineering and Control Systems (2025) – Mansoura University (Excellent grade). Deep Learning Specialization – DeepLearning.AI Professional Generative AI Certification – Digital Egypt Pioneers Associate Data Scientist in Python – DataCamp Let’s Collaborate! Whether you need to build a machine learning model, analyze complex datasets, or deploy an AI-powered application, I’m here to help. Let’s transform your ideas into reality and create solutions that make an impact.

Principal AI Engineer & Founder of PrismBase.ai | Senior Data Scientist with 9+ years of experience architecting production-grade analytics platforms and 6+ years deploying enterprise machine learning and agentic AI systems on Google Cloud Platform (GCP). I specialize in LangChain, LangGraph, multi-agent orchestrations, RAG pipelines, and robust FastAPI backends that translate complex AI into measurable business impact. 🤖 Agentic AI & LLM Engineering Autonomous Workflows: Design and deploy multi-agent systems using LangChain and LangGraph for high-stakes enterprise use cases (underwriting, fraud detection, document intelligence). Production RAG: Build advanced Retrieval-Augmented Generation systems scaling across millions of documents. Integrations: Connect agentic workflows seamlessly into core communication stacks, including Slack, Telegram, and enterprise email environments. ☁️ End-to-End ML & MLOps on GCP Vertex AI Mastery: Build complete enterprise pipelines—from data preparation and training to evaluation, deployment, and continuous monitoring. Proven ROI: Led predictive modeling for fraud detection (30% accuracy improvement), student retention, and predictive maintenance (80% reduction in operational events) across 20TB+ datasets. Cost Optimization: Architected cloud infrastructure refinements that cut client cloud spend by 50%. ⚡ FastAPI & Production API Development Backend Architecture: Build high-performance, asynchronous RESTful APIs utilizing Pydantic validation, async job processing, and Docker containerization. System Integration: Deliver clean API layers engineered to power real-time dashboards, integrate with legacy CRMs, and serve production ML models at scale. 📊 Data Science & Technical Stack Core Competencies: Python, SQL, BigQuery, XGBoost, LightGBM, SHAP/LIME explainability, and advanced feature engineering. Enterprise Delivery: Trusted to deliver mission-critical solutions for Fortune 500 clients, including Morgan Stanley, Wells Fargo, US Bank, and Verizon. I bridge the gap between deep technical execution and executive-level strategy. I work at $80/hr and bring principal-level execution to every engagement. Let's hop on a call and talk about what you need built. Drake Talley Principal AI Engineer | PrismBase.ai

📝 BIO / OVERVIEW I build AI that works for you, autonomously. And I build it on a foundation of rigorous data science. I'm a Top-Rated AI/ML Engineer specializing in agentic AI systems, autonomous agents that plan, reason, use tools, and act without constant human input. With 6+ years of professional experience, MIT and IBM certifications, a Distinction in ML from the University of London, and a Letter of Commendation from the London School of Economics for scoring among the highest marks in the world in Data Science and Business Analytics, I sit at the intersection of two disciplines that are rarely combined well: agentic AI engineering and data science. Most agent builders don't think statistically. Most data scientists don't build agents. I do both, and that's what makes the systems I deliver more reliable, better scoped, and genuinely production ready. 🔧 What I Build Autonomous AI Agents Multi-agent pipelines using LangChain, LangGraph, CrewAI, and AutoGen. Agents with memory, planning, tool use, and reflection loops that actually run in production, not just demos. RAG & Knowledge Systems End-to-end Retrieval-Augmented Generation pipelines with vector databases (Pinecone, Weaviate, FAISS, ChromaDB), smart chunking, hybrid search, and re-ranking. Your LLM, grounded in your data. AI Workflow Automation Intelligent automations connecting LLMs to your business stack via n8n, Zapier AI, and Make. Lead enrichment, document processing, auto-reporting: AI wired into your existing tools. LLM Fine-Tuning & Deployment Domain-specific fine-tuning using LoRA, QLoRA, and PEFT on Hugging Face. Model evaluation, benchmarking, and scalable deployment on AWS, Azure, and GCP. Data Science & Predictive Analytics The foundation under everything I build. EDA, feature engineering, predictive modeling, statistical analysis, A/B testing, and BI dashboards. I work across industries to surface decisions, not just charts. 🎯 Why Clients Choose Me Systems thinker: I architect the full pipeline across data, retrieval, orchestration, and deployment. Not just a notebook. Data-grounded agents: My DS background means the agents I build are statistically sound, not just prompt-engineered. Production-grade delivery: Clean, documented, deployable code with real performance metrics. Top-Rated on Upwork with 6+ years of real-world AI/ML delivery across industries. MIT & IBM certified. Distinctions in Machine Learning, University of London. Letter of Commendation from the London School of Economics for ranking among the highest marks worldwide in Data Science and Business Analytics. 🛠️ SKILLS AI Agents & Orchestration LangChain, LangGraph, CrewAI, AutoGen, OpenAI Assistants API, Semantic Kernel, Agent Memory & Tool Use RAG & Vector Systems Pinecone, Weaviate, FAISS, ChromaDB, LlamaIndex, Hybrid Search, Re-Ranking, Document Chunking LLM Fine-Tuning & Generative AI LoRA / QLoRA, Hugging Face Transformers, PEFT, RLHF, GPT-4o, Claude, Gemini, Mistral, Llama, Prompt Engineering AI Workflow Automation n8n, Zapier AI, Make (Integromat), API Integrations, Event-Driven Pipelines Data Science & ML Python, Scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM, Pandas, NumPy, Statistical Modeling, A/B Testing, SPSS Data Visualization & BI Tableau, Power BI, Matplotlib, Seaborn, ggplot2 Cloud & Infrastructure AWS, Azure ML, GCP Vertex AI, SageMaker, Snowflake, Docker, FastAPI, PostgreSQL, MongoDB, Apache Spark 💬 CLIENT TESTIMONIALS "Collaborating with Zainab was outstanding. Her deep knowledge and expertise in Machine Learning algorithms, statistics, and Python programming impressed me." "Zainab was an invaluable asset to my research project, offering a wealth of insights within the realms of AI model sensitivity and model assurance. Her contributions greatly enhanced my understanding." "Zainab is a high quality and committed professional. I highly recommend her." 📩 Message me to discuss your project. I offer a free 30-minute scoping call to map out the right architecture for your use case.

💼 AI Developer | OpenAI developer | AI developer Zapier | Python data engineer for real-time data pipeline | AI developer LangChain 🏆 TOP RATED PLUS | 💰 $5M+ Client Revenue | 💼 111+ Projects Delivered | ✅ 11,000+ Upwork Hours 💡 Clients Achieved: 🚀 Faster delivery – AI systems cut weeks of manual work 💰 Revenue growth & efficiency – automated workflows and AI agents increased ROI ⏱️ Time savings – streamlined operations, reduced human effort ✅ Reliable, production-ready AI – systems deployed safely and scaled in real-world environments 📊 Data-driven insights – AI-powered analytics, RAG pipelines, and persona simulations improved decision-making I am an AI Developer and OpenAI developer specializing in designing and deploying production-ready AI systems that combine advanced machine learning models with scalable backend engineering. As an AI developer LangChain specialist and AI developer Zapier expert, I help businesses turn complex AI concepts into reliable real-world solutions. I also work as a python data engineer for real-time data pipeline development, building streaming, event-driven, and analytics systems for AI-powered applications. ⚡🤖 AI Agents & Autonomous Systems 🤖 As an AI Developer and AI developer LangChain engineer, I create intelligent agents capable of reasoning, planning, memory retention, and multi-step workflows. These systems integrate OpenAI developer APIs and AI developer Zapier automation layers for real business execution and reliability. Voice AI & Communication Platforms 🎙️ I develop low-latency real-time AI voice systems using Twilio and STT → LLM → TTS pipelines, built as an AI developer and OpenAI developer for scalable conversational AI with backend-controlled logic, interruption handling, and production deployment. RAG Pipelines & Data Intelligence 📚 As an AI developer LangChain specialist and OpenAI developer, I implement Retrieval-Augmented Generation pipelines for fast, accurate, and auditable access to internal data. This includes embeddings, metadata pipelines, vector databases (Pinecone, Qdrant, Weaviate), and python data engineer for real-time data pipeline architectures. Backend Engineering & Cloud Deployment ☁️ I build robust Python/TypeScript backend systems with FastAPI, Django, and Node.js, acting as both AI developer and python data engineer for real-time data pipeline solutions. I deploy scalable systems on AWS, GCP, and Azure using Docker, Kubernetes, monitoring, and autoscaling. 🚀 Selected Projects Monitoring & Summarization Tool ⚖️ – Automated regulatory updates, cutting manual review time and delivering clear summaries. Built by an AI Developer to make compliance faster and smarter. I Persona Simulation 👥 – Transformed Reddit discussions into interactive synthetic personas for marketing insights. Engaging AI experiences designed by an AI Developer. Centefuse AI – Content Generation ✍️ – MVP platform for automated social media content and scheduling. High-quality output with minimal client effort, engineered by an AI Developer. Waste Classification App ♻️ – Mobile AI solution for classifying and estimating waste quantities. Flexible, hardware-free, and efficient – crafted by an AI Developer. AI Script Generator 🎬 – Generative AI for screenwriters to structure stories and draft scripts quickly. Accelerates ideation while preserving creativity, built by an AI Developer. Client Testimonials ⭐⭐⭐⭐⭐ “Great work, very professional. Good at gathering input. Talented variety of staff.” – AI Chat, Recorded Calls, Coaching AI Platform ⭐⭐⭐⭐⭐ “Very professional and technically capable. He was able to work within my budget and deliver a top notch product.” – Marketplace Development II ⭐⭐⭐⭐⭐ “Outstanding work during the discovery phase. The team was prepared, communicated clearly, and proposed elegant, efficient solutions that exceeded our expectations.” – AI-powered Treatment Writer Why Clients Work With Me 💼 Delivery of clean, maintainable, production-ready AI solutions Expertise bridging AI models and backend engineering as an AI Developer Predictable results with scalable architectures Clear communication and collaborative approach

As an AI Agent Developer focused on agentic AI systems, I build autonomous agents and Multi-Agent workflows that eliminate repetitive processes. As an AI Agent Developer, I help SaaS companies, e-commerce brands, marketing agencies, and enterprise teams save 100–200+ hours per month while reducing operational costs by 30–60% through intelligent AI Automation powered by agentic AI. The Difference: Agentic AI, Not Just Workflows As an AI Agent Developer, I design agentic AI solutions that go beyond traditional automation. My systems incorporate reasoning, memory, decision-making, and failure recovery, enabling Multi-Agent workflows to understand context, adapt to exceptions, and self-correct in production. AI Agent Development for Business Automation As an AI Agent Developer, I architect autonomous agentic AI agents on n8n, Make, and Zapier using Claude, OpenAI, and LangChain. Every AI Agent Developer solution includes context-aware reasoning, RAG, tool calling, and memory to automate complex business operations with reliable AI Automation. Multi-Agent Systems for Marketing & Sales As an AI Agent Developer, I build agentic AI Multi-Agent systems for lead qualification, CRM synchronization, audience segmentation, follow-up automation, and sales workflows across HubSpot, Salesforce, Airtable, and other business platforms through scalable AI Automation. Intelligent Customer Support As an AI Agent Developer, I deploy agentic AI support agents that classify tickets, detect intent, generate summaries, recommend responses, and automate routing using LangChain, Claude, OpenAI, and Zendesk integrations. Data Pipeline Automation As an AI Agent Developer, I create end-to-end AI Automation pipelines powered by agentic AI for data ingestion, transformation, validation, anomaly detection, and reporting. Every AI Agent Developer workflow is designed for production-grade reliability and scalability. Proven Results Healthcare Support Automation: As an AI Agent Developer, I built an agentic AI solution with n8n, LangChain, and Claude that reduced manual support work by 70%. Marketing Agency Automation: As an AI Agent Developer, I developed an AI Automation platform using agentic AI that reduced campaign setup time by 65%. Sales Pipeline Automation: As an AI Agent Developer, I engineered an agentic AI Multi-Agent CRM solution that reduced lead response time from 4 hours to under 4 minutes. Tech Stack Automation: n8n • Make • Zapier AI: LangChain • OpenAI • Claude • Gemini Backend: Python • Node.js • FastAPI Platforms: Supabase • HubSpot • Salesforce • Zendesk • Airtable How I Work Every engagement starts with a workflow audit where I identify the highest-value opportunities for AI Automation. As an AI Agent Developer, I design complete agentic AI architectures before development, ensuring every solution includes reasoning, memory, monitoring, error handling, and production-ready deployment. If you're looking for an experienced AI Agent Developer to build intelligent AI Automation, agentic AI systems, Multi-Agent workflows, or enterprise AI solutions that deliver measurable ROI, let's discuss your project and design the right AI architecture for your business.

I build production-ready web apps and AI features that ship fast and don’t break in production. RAG chatbots, AI agents, LLM integrations, and full-stack delivery (Spring Boot + React/Next.js + Node/Python). Top Rated | 100% Job Success Hi, I’m Muneeb, a Full-Stack Engineer specializing in AI integrations (LLMs, RAG, Agents) and scalable web apps. I help startups and product teams ship clean, fast, production-ready features from MVP to mature systems without hand-holding. What I build (client outcomes) LLM features inside your product: summarize, extract, classify, chat, search, Q&A RAG chatbots (secure, multi-tenant, citations, evals, monitoring) AI agents & tool-using workflows (guardrails, retries, structured outputs) Full-stack SaaS features (auth, billing, dashboards, APIs, admin panels) Automation + integrations (OAuth, 3rd-party APIs, Twilio, webhooks, event-driven flows) Performance & reliability fixes (slow endpoints, query tuning, memory leaks, flaky UI) My core stack Frontend: React, Next.js, Angular, TypeScript, Tailwind, shadcn/ui Backend: Java (Spring Boot), Node.js (NestJS), Python, REST APIs AI/LLM: RAG, AI Agents, prompt engineering, LangChain/LangSmith, Claude/Gemini (as needed) Data: PostgreSQL, MySQL, MongoDB DevOps: Docker, Git, CI/CD (GitHub Actions/Jenkins) How I work * Clarify scope + success criteria (fast) * Ship an MVP version early (so you can test) * Iterate with tight feedback loops * Handover with clean code + docs + deployment notes If you want someone who can own a feature end-to-end and deliver reliably, message me with: your goal, your current stack, and what “done” looks like.