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Meeqat S. - Fullstack Developer, TensorFlow, AWS Development

At Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.

Main technologies

  • Fullstack Developer

    1 year

  • Machine Learning

    1 Year

  • Artificial Intelligence

    1 Year

  • LLM Prompt Engineering

    1 Year

Additional skills

  • Machine Learning
  • Artificial Intelligence
  • LLM Prompt Engineering
  • Python
  • Computer Vision
  • Natural Language Processing
  • Retrieval Augmented Generation
  • Generative AI
  • Predictive Modeling
  • Data Analysis
  • Data Science
  • Deep Learning
  • Hugging Face
  • TensorFlow
  • AWS Development

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Potentially possible

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Experience Highlights

Government of Punjab Pak– Air Quality Tracking & Forecasting System

Data Integration & AI Modeling -Integrated historical and real-time AQI data from ground-based analyzers with remote sensing satellite data (Sentinel-5P). -Developed and trained AI models (e.g., LSTM, Random Forest Regression) to forecast AQI up to 7 days in advance. GIS Visualization & Alerts -Created an interactive GIS map of Punjab displaying AQI forecasts, with drill-down capability to city and district levels. -Implemented an automated alert system to notify relevant departments and the public when air quality is projected to reach unhealthy levels.

Data Ropes

Built a sleek, high performance website for DataRopes. Showcased their expertise in AI driven data solutions. Highlighted global success stories to strengthen brand presence.

E-Commerce Chatbot Using NLP

I specialize in creating sophisticated chatbots that handle customer inquiries, provide product recommendations, and assist with transactions. My solutions leverage advanced NLP techniques to ensure human-like understanding and responses, delivering an intuitive user experience. Additionally, I can incorporate sentiment analysis to gauge customer satisfaction in real-time, providing valuable insights for improving interactions. Let me help you design an innovative chatbot tailored to meet your business needs.

Stock Chatbot AI Apps & Integration

I specialize in developing advanced chatbot solutions, including a sophisticated Stock Chatbot powered by an advanced Legal Language Model (LLM). This chatbot delivers real-time stock price updates, market analysis, and personalized investment recommendations. Using cutting-edge natural language processing, I ensure accurate insights and seamless communication. Let me help you stay ahead in the market, make informed decisions, and enhance your trading strategy with a reliable and user-friendly Stock Chatbot tailored to your needs.

Medical Chatbot Using a Combination CNN and BERT

I have conducted research in medical image analysis, combining Convolutional Neural Networks (CNNs) with Clinical-BERT to improve cancer detection accuracy in X-ray images. This innovative approach integrates CNNs for precise image analysis with Clinical-BERT's capability to extract features from clinical text data. By bridging medical imaging and natural language processing (NLP), I developed a comprehensive malignancy detection system, showcasing expertise in machine learning, deep learning, and AI-driven healthcare solutions that enhance diagnostic accuracy and patient outcomes.

Education

  • Brunel University London, London

    Master of Science (MS) in Artificial Intelligence

    2022-01-01-2023-01-01

  • Information Technology University, Lahore

    Bachelor of Science (BS) in Electrical engineering

    2016-01-01-2021-01-01

Languages

  • English

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