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Meeqat S. - Fullstack Developer, AWS Development, Frontend

Being part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.

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
  • Frontend

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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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