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Ali Z. - Fullstack Developer, AI Agent Development, C++

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

    11 years

  • Generative AI

    10 Years

  • Artificial Intelligence

    3 Years

  • SaaS

    7 Years

Additional skills

  • Generative AI
  • Artificial Intelligence
  • SaaS
  • Product Development
  • Full-Stack Development
  • AI Chatbot
  • AI App Development
  • AI Development
  • Retrieval Augmented Generation
  • ChatGPT API Integration
  • Machine Learning
  • Amazon Web Services
  • Minimum Viable Product
  • Python
  • AI Agent Development
  • C++

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Experience Highlights

Multi-Modal AI Content Creation & Marketing Automation

This integrated platform combines GPT-4 and Claude for text generation with Stable Diffusion and ControlNet for visual content creation. Custom-trained models ensure brand consistency while automated A/B testing optimizes performance. Zapier and Make.com integrations enable seamless multi-platform publishing across 20+ channels. Advanced analytics track ROI and conversion attribution, generating 400% more content while reducing creation costs by 60%.

Healthcare AI Assistant & Patient Monitoring System

HIPAA-compliant system featuring medical LLMs trained on clinical literature for diagnostic assistance and treatment recommendations. TrOCR automates medical coding while HL7 FHIR integration ensures seamless EHR connectivity. Continuous patient monitoring analyzes vital signs and wearable data for early deterioration detection. The platform reduces administrative tasks by 70% while improving clinical outcomes through AI-powered decision support and population health analytics.

AI-Enhanced Real Estate Investment & Property Analysis Platform

Utilizing computer vision for satellite imagery analysis and QGIS integration for environmental assessment, this platform delivers property evaluations in under 5 minutes. Claude powers market trend analysis while machine learning models provide predictive valuations. Real-time MLS integration and automated CMA generation enable investors to identify opportunities 300% faster with 40% improved accuracy compared to traditional methods.

Intelligent Supply Chain Optimization & Demand Forecasting

This comprehensive platform combines LSTM and Transformer models for 90%+ demand forecasting accuracy with genetic algorithms for route optimization. GPT-4 automates supplier communication while Monte Carlo simulations enable scenario planning. Real-time IoT integration provides complete supply chain visibility, while automated procurement and risk assessment systems reduce inventory costs by 35% through intelligent decision-making and predictive analytics.

Computer Vision Quality Control & Inspection System

Powered by YOLOv8 and Open3D, this edge-computing solution processes 100+ items per minute with sub- 100ms detection times. Custom-trained models identify surface defects, dimensional issues, and assembly problems while Docker containers ensure reliable factory floor deployment. PySpark handles large-scale image processing, MLflow manages model performance, and direct PLC integration provides immediate production line feedback with 98%+ accuracy.

Education

  • University of Engineering and Technology, Lahore

    in Electrical Engineering (Electronics and Telecommunication)

    2010-01-01-2014-01-01

  • National University of Sciences and Technology

    Doctor of Philosophy (PhD) in Generative AI, Reinforcement Learning, IoT and Edge Computing

  • National University of Sciences and Technology

    Master of Engineering (MEng) in Machine Learning, Deep Learning, AI and Autonomous Systems

Languages

  • English

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