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9
5
Pakistan
1 year of experience
I am Muhammad Abdullah Bilal, a Software Engineer, Python Developer and Frontend Developer skilled in HTML, CSS, JavaScript, Bootstrap. I am currently exploring Data Science and Artificial Intelligence to build smarter and efficient solutions. I enjoy participating in hackathons to collaborate, learn, and create innovative projects.

THE UBUNTU REBELLION: Fighting a Moral Failure with Agentic AI The Problem: A Moral Failure in Healthcare Judges, we are here today not just to showcase code, but to challenge a fundamental injustice. The current healthcare system, dominated by corporate oligopolies, is built on planned obsolescence and vendor lock-in. We witness perfectly functional medical equipment deemed "end of life" and scrapped as e-waste, while millions of our loved ones in remote or underserved clinics go without care. This is not a business problem—it is a moral failure. Beyond the hardware, administrative overhead is crippling. In South Africa, billions are wasted annually as dedicated doctors and nurses spend countless hours performing soul-crushing administrative tasks—logging into dozens of disparate medical scheme portals, manually transcribing data, and battling complex claims forms. Every minute spent on paperwork is a minute stolen from patient care. The Ubuntu Patient Care movement exists to say: Enough. We are building a free, open-source medical system that puts humanity first. Our solution, powered by the intelligence of Granite and the orchestration of IBM watsonx Orchestrate, is the force multiplier that makes this rebellion sustainable. The Strategy: Offline-First Agentic Supremacy Our core competitive advantage, the feature that no oligopoly system can replicate, is our Offline-First, Zero-Barrier-to-Entry design. We use Agentic AI to eliminate the three largest frictions in medical system adoption: Administration, Security, and Deployment.
23 Nov 2025

BreakIn is a proof-of-work hiring platform. Developers collaborate in simulated sprints, evaluated by AI and mentors, to build living, verifiable portfolios. Proof-of-Work Hiring System (PoWHS) A zero-resumé, no-job-posting, mentorship-first simulation platform where skill earns opportunity. BreakIn Direct replaces guesswork hiring with verifiable performance. Through simulation sprints, AI review, mentor feedback, and collaborative team builds, we generate living portfolios that hiring managers can trust more than any cover letter. How It Works Developers join team-based simulation sprints AI + mentor feedback powers reputation & growth Hiring engine recommends talent based on work—not words Companies hire directly—without posting a job or screening résumés
21 Sep 2025

BrainBridge is a neurodiversity-focused SaaS platform that breaks down barriers in employment for neurodiverse job seekers while helping organizations build inclusive workplaces. Too often, talented individuals are overlooked—not because they lack skills, but because traditional hiring practices fail to recognize their strengths. Meanwhile, many employers want to be more inclusive but struggle to adapt job descriptions, evaluation methods, and workplace practices. BrainBridge bridges this gap with an AI-powered ecosystem built on empathy, personalization, & evidence-based design. Our MVP revolves around three core modules: Self-Discovery Engine – Personalized quizzes and cognitive-pattern assessments create a personalized “Strengths Thrive Map,” highlighting each user’s strengths, preferred ways of working, and communication styles. This gives job seekers clarity and confidence for growth and career planning. Job Matching Engine – BrainBridge’s AI analyzes and standardizes job postings, breaking them into structured tasks and requirements. It then compares these with each Strengths-Thrive-Map to generate a “Cognitive-Fit Score” that goes beyond keywords—matching candidates to roles where they can thrive. Employer Enablement – For organizations, BrainBridge normalizes job descriptions, identifies hidden biases, and provides insights to strengthen ND-DEI (Neurodiversity, Diversity, Equity & Inclusion) practices. Employers can attract diverse talent while learning how to create environments where everyone performs at their best. By uniting these elements, BrainBridge empowers unique minds with self-knowledge, mentoring, and clear pathways to meaningful employment. At the same time, it enables employers to access a broader talent pool and build workplaces where all minds succeed. The outcome is a win-win: greater job satisfaction for neurodiverse individuals, and stronger, more innovative organizations that embrace the full spectrum of human potential.
24 Aug 2025

AutoTest Agent is an AI-powered developer tool that takes a module of code and its intended use case (as text), then automatically generates and runs unit/integration tests. It leverages the multi-agent, deep-context, and LLM capabilities of Trae AI IDE to accelerate the testing process, ensuring better code coverage and developer productivity. ✅ Problem Statement: Many developers skip writing unit tests due to time constraints or lack of expertise. This leads to: Bugs in production Poor code quality Difficult code reviews and refactoring 💡 Solution: We provide a tool that: Accepts code modules (Python) Accepts a requirement/use-case description Uses AI agents to: Analyze the code Understand the use case Generate unit test cases Optionally run tests and show results 🔧 Key Features: 📥 Code Upload/Input – Users can upload or paste their Python code module 🗒️ Use Case Input – Short description of the intended functionality 🤖 AI Test Generator – AI agent generates test cases using pytest or unittest ▶️ Test Runner – (Optional) Run tests and return pass/fail results 💬 Feedback Loop – Users can edit/refine tests or regenerate 🧰 Technology Stack: Language – Python Test Framework – pytest or unittest AI Models – GPT-4o, Claude 3.5, Gemini 2.5 via Trae UI (optional) – Streamlit / CLI Version Control – GitHub 🤖 How Trae AI IDE is Used: Built custom AI agents using editable prompt templates Agents deeply understand code modules using context-aware capabilities Generated test cases with LLM support from Trae (GPT-4o, Claude) Leveraged Trae's real-time preview and one-click execution for faster iterations
15 Jun 2025

The Financing AI Agent addresses the widespread challenge of managing daily finances, where individuals often struggle to balance spending, prioritize expenses, and save effectively for future goals. This innovative tool, built in Python, analyzes transaction data from CSV files, categorizing expenses and allocating funds into savings buckets—Emergency, Travel, Fun, and Health—based on user-defined priorities like healthcare or leisure. Its vibrant CLI, powered by the rich library, delivers colorful daily and weekly summaries, with pie charts via matplotlib for clear insights. Future phases include a Streamlit web app with interactive dashboards, a Tkinter desktop GUI for offline use, and AI/NLP integrations using nltk or spacy for natural language inputs and smart suggestions. Targeting young professionals, students, and budget-conscious individuals, it simplifies financial planning. Its unique benefit lies in AI-driven priority suggestions, offering personalized, scalable, and intuitive finance management, transforming how users achieve financial wellness in a complex world.
1 May 2025