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Muhammad Umar J. - Fullstack Developer, Data Engineering, Data Analysis

My journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.

Main technologies

  • Fullstack Developer

    4 years

  • Artificial Intelligence

    3 Years

  • Python

    2 Years

  • Machine Learning

    3 Years

Additional skills

  • Artificial Intelligence
  • Python
  • Machine Learning
  • Natural Language Processing
  • Chatbot Development
  • ChatGPT
  • Data Science
  • Deep Learning
  • AI Agent Development
  • AI Chatbot
  • LangChain
  • TensorFlow
  • Computer Vision
  • AI App Development
  • Large Language Model
  • Data Engineering
  • Data Analysis

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Experience Highlights

Multi-Agent Conversational AI Platform with Integrated Chatbot System

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.

LLaMA & Machine Learning Specialist – Conversational SQL Search

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.

AI-Driven Adversarial Machine Learning Security

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.

Automated Software Testing & Continuous Integration Tool

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.

Education

  • University of Cambridge

    Doctor of Philosophy (PhD) in Computer science

    2005-01-01-2008-01-01

Languages

  • English