
14
6
Pakistan
1 year of experience
Muhammad Sajjad Hussain is an Electrical Engineer and Machine Learning Engineer specializing in AI-driven automation, embedded systems, and real-time image processing. With expertise in deep learning models like CNNs, YOLO, and Faster R-CNN, they develop intelligent vision-based solutions for robotics and industrial applications. Passionate about AI education, they share insights through their YouTube channel, bridging the gap between theory and practice

This two-agent system automates HR onboarding and finance expense processing. The HR agent collects new recruit details name, start date, hiring manager, and emails then sends onboarding emails, generates a checklist, creates a Google Calendar meeting, and shares the link with all participants. The Finance agent reads a mock expense database containing date, amount, and submitter, analyzes each expense, updates the database with an approve decline escalate status, and sends notification emails to the manager. Together, they deliver fast, accurate, and end-to-end automation for HR and finance operations.
23 Nov 2025

The SME Loan Risk Meta-Validator is an end-to-end intelligent workflow designed to streamline and modernize SME credit assessment. It automatically ingests loan applications from spreadsheets, portals, and supporting documents, then extracts and normalizes key information using OCR and AI-driven field extraction. The system enriches each application with external credit bureau and sanctions screening data, evaluates data quality and consistency, and applies transparent rule-based checks to enforce lending policies. For eligible cases, an AI risk model produces nuanced risk and eligibility scores, which are combined with rules to determine whether to auto-approve, auto-reject, or escalate for human review. An agentic policy reviewer ensures alignment with credit policies, fairness guidelines, and regulatory expectations. Every application generates a complete audit artifact—including inputs, risk reasoning, rules fired, and review actions—providing full traceability for risk teams and regulators. This workflow improves decision accuracy, reduces manual workload, ensures compliance, and delivers a scalable, consistent framework for SME lending.
19 Nov 2025

AI Subscription Payment Agent on Arc is an autonomous, blockchain-based subscription system designed to simplify micropayments for content creators. Built on the Arc blockchain, it leverages native USDC for stable, on-chain recurring payments while minimizing transaction fees through Arc’s deterministic fee model. The system integrates Solidity smart contracts for subscription registration and automated payment execution, along with an off-chain AI agent that dynamically adjusts subscription pricing based on user engagement metrics. A web frontend allows users to manage subscriptions, monitor payments, and interact seamlessly with the AI-powered system. This project demonstrates the fusion of blockchain, AI automation, and real-world financial utility, offering a scalable solution for content monetization.
8 Nov 2025

QAaaS-MVP (Quality Assurance as a Service) implements the “Internet of Agents” concept by connecting multiple specialized AI agents into a cohesive system. Each agent performs distinct tasks—repository cloning, automated testing, code aggregation, and unit testing—while communicating through a central server for orchestration. This project demonstrates real-time agent registration, heartbeat monitoring, and task execution, allowing developers to automate QA pipelines efficiently. The modular architecture supports easy addition of new agents, integration with GitHub repositories, and optional Coral Studio monitoring. QAaaS-MVP showcases scalable AI-driven automation, making software development faster, more reliable, and smarter.
21 Sep 2025

CoachAI is an AI-powered personal assistant designed to simplify learning new applications. Users provide natural language instructions, and CoachAI automatically executes the actions on a virtual canvas while logging every step in an interactive transcript. Each step can be replayed on hover for better understanding, and the entire session can be exported as PDF or Word for later reference. By leveraging GPT-5 Agent Mode, CoachAI reduces the time and frustration associated with mastering new apps, empowering users to learn faster, more efficiently, and confidently. It’s scalable to any app, providing a seamless learning experience.
24 Aug 2025

Relocating to a new city for work, study, or travel can be overwhelming — from finding affordable housing and understanding local transport to evaluating safety, weather, and cost of living. Wise Move solves this by providing a smart, unified platform that helps people make informed decisions before and after they move. 📊 Compare Cities: Know how two cities compare in population, weather, pollution, safety, and cost. 💬 Chatbot Support: Ask anything — our chatbot fetches real-time data and gives insights using AI and LLMs. 📍 Local Info: Get to know city culture, transport systems, crime rate, nearby attractions, and more. 💰 Personal Cost Calculator: Estimate what it will cost you to live in any city based on your lifestyle. 🧠 Smart Tech: Built using AI/ML, function calling, and dynamic APIs to keep data fresh and responsive. Whether you’re a student, tourist, or migrant — Wise Move helps you settle smarter.
1 May 2025