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Schedule Interview NowMy name is Muhammad Umar J. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Python, Machine Learning, Natural Language Processing, Chatbot Development, etc.. I hold a degree in Doctor of Philosophy (PhD). Some of the notable projects I’ve worked on include: Multi-Agent Conversational AI Platform with Integrated Chatbot System, LLaMA & Machine Learning Specialist – Conversational SQL Search, AI-Driven Adversarial Machine Learning Security, Automated Software Testing & Continuous Integration Tool. I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.
I am a dedicated innovator who constantly explores and integrates emerging technologies to give projects a competitive edge. I possess a forward-thinking mindset, always evaluating new tools and methodologies to optimize development workflows and enhance application capabilities. Staying ahead of the curve is my default setting.
At Softaims, I apply this innovative spirit to solve legacy system challenges and build greenfield solutions that define new industry standards. My commitment is to deliver cutting-edge solutions that are both reliable and groundbreaking.
My professional drive is fueled by a desire to automate, optimize, and create highly efficient processes. I thrive in dynamic environments where my ability to quickly master and deploy new skills directly impacts project delivery and client satisfaction.
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The challenge was creating a scalable, cross-platform platform where multiple AI agents could collaborate seamlessly in real time. Solution: I built an MVP with a multi-agent architecture powered by LLMs. An orchestrator agent manages workflow, an assessment agent interprets inputs, and specialist agents execute domain tasks. I delivered the backend schema, database, responsive prototype, and mobile builds, establishing a robust foundation for future scaling.
Built a LLaMA powered chat interface for a large SQL database, enabling natural language queries with semantic search and SQL optimization. Delivered fast, accurate answers from company, contact, and post data while adding Python logic for stable server DB communication. Transformed access to insights by making data feel conversational, intuitive, and reliable.
Researched adversarial attacks on deep learning models, particularly in reinforcement learning environments. Developed defenses to make AI models more robust against manipulation, improving the reliability of AI-driven decision-making in security-critical applications.
Developed a real-time regression testing system (OnSpot) that integrates with an IDE to provide developers instant feedback on test results. This tool significantly reduces debugging time by overlaying test outcomes directly onto code. The system improves test automation workflows in CI/CD environments.
Doctor of Philosophy (PhD) in Computer science
2005-01-01-2008-01-01