
2
2
Pakistan
3+ years of experience
I'm currently enrolled in final year of bachelor’s program in Computer Science at UET Lahore, the academic journey complements hands-on experience in developing secure and responsive applications. A collaborative mindset drives impactful solutions through modern frameworks like React.js and Django. Proficiency in database implementations and data analytics tools further supports an ambition to transform complex data into actionable insights, aligning technical skills with problem-solving values and growth goals.

SmartOffice Orchestrator (OfficeGenix) is an AI-driven multi-agent office automation system built entirely with IBM watsonx Orchestrate. The project demonstrates how multiple agents, connected toolsets, and low-code workflows can combine to automate daily enterprise operations with high efficiency. The system uses four specialized agents: Calendar Events Manager Agent – Creates, manages, and organizes Outlook calendar events. Assignment Manager Agent – Handles HR operations such as manager assignment and employee position updates. Asset Manager Agent – Tracks IT and office assets, updates records, and retrieves configuration details. Sales Activity Manager Agent – Creates Salesforce tasks and events, counts activity items, and supports sales operations. With over 30+ integrated tools, SmartOffice Orchestrator automates workflows like: Scheduling meetings through natural language Updating HR assignment data Managing Salesforce tasks Tracking or updating office assets Accessing Google Drive and Outlook actions Generating real-time multi-agent collaboration Users interact with the system naturally by typing commands such as: “Create a meeting tomorrow at 10 AM”, “Update the manager assignment”, or “Add a Salesforce task for follow-up.” The system automatically selects the correct agent, triggers the required tools, and completes the task without any coding or external API keys. This project highlights how enterprises can use agentic AI to reduce workload, increase productivity, and modernize office operations with a fully no-code automation framework.
23 Nov 2025

Our project is a multi-agent assistant for European public tenders that turns an RFP and a short company baseline into an actionable plan and a proposal draft. You provide an RFP link or file and complete a concise form with certifications, capabilities, financials, projects, and team skills. The system parses the RFP to identify deadlines, submission method and format, evaluation criteria and weights, eligibility requirements across legal, technical, and financial dimensions, mandatory attachments, and language constraints. It then compares those requirements to your baseline to produce a coverage matrix that marks items as covered, missing, or needs review, plus a focused to do list with evidence prompts. When coverage is sufficient, the writer agent generates Markdown sections such as Executive Summary, Technical Approach, Delivery and Timeline, and Quality and Risk, aligned to the scoring rubric and grounded in your capabilities. The MVP intentionally does not analyze existing proposal files; the goal is to minimize setup and guide teams to close gaps quickly. The architecture is modular and MCP compatible, so the same flow can run inside Coral or be exposed through simple APIs and a lightweight UI. Outputs can include anchors to source pages for easy verification and audit.
21 Sep 2025