Zaeem A.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

Hi, I’m Zaeem — a Full Stack and Machine Learning Engineer who builds intelligent, scalable platforms that combine fast web apps with powerful data-driven systems. From building dashboards and APIs to ML models and big data pipelines, I deliver reliable, production-grade solutions across domains. 🧠 Core Skills & Technologies * Full Stack: MERN (MongoDB, Express, React, Node.js), FastAPI, JWT Auth, Redux * Machine Learning: Regression, Forecasting, Classification, CNNs, RNNs, Time Series * Big Data & Analytics: PySpark, SQL, PostgreSQL, Power BI, Data Warehousing * Vision & Signal Processing: YOLOv8, OpenCV, Whisper, Liveness Detection * ML Libraries: PyTorch, scikit-learn, Hugging Face Transformers * Data Engineering: Selenium, BeautifulSoup, AWS S3, JSON pipelines * DevOps & Infra: Docker, GitHub CI/CD, AWS EC2, Fireworks * Visualization: Power BI, Chart.js, custom dashboards, analytics pipelines 🔧 Featured Projects 1. ML-Powered Admin Dashboard with Predictive Analytics Built a full-stack analytics dashboard (MERN + FastAPI) for SaaS operations. Enabled users to upload data, run ML models, and visualize regression and forecasting results. Included JWT auth, admin panels, and real-time charts. 2. Big Data Forecasting System with PySpark & Power BI Designed a scalable system to process millions of data rows using PySpark, run ML forecasting models, and export results into Power BI dashboards. Supported supply chain and inventory planning workflows. 3. House Price Prediction Tool Developed a predictive model using regression and deployed it with an interactive frontend. Users could input location, area, and features to get price estimates in real time. 4. Social Distancing Detector (OpenCV + YOLOv8) Created a real-time computer vision system to detect people and enforce social distancing in public spaces. Deployed using OpenCV with bounding box logic and alert triggers. 5. Voice-Based Summary Generator Built a tool where users upload audio recordings and receive summarized notes using Whisper and LLMs (Claude, GPT-4). Summaries were exportable in PDF, JSON, and Word formats. 6. Restaurant Chatbot with Backend Integration Developed a chatbot that handled bookings, menu queries, and recommendations for a restaurant. Used FastAPI, MySQL, and Dialogflow, with real-time API integration for reservation logic. ✅ Why Hire Me * I cover the full cycle: from frontend apps to backend APIs, ML models, and big data tooling * I design intelligent systems that are modular, scalable, and ready for deployment * My projects are built for real-world performance, not just prototypes * Ideal for startups, internal tools, dashboards, predictive systems, and AI automation Let’s turn your data into a fast, smart, and scalable product. I’m ready when you are.