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Schedule Interview NowMeeqat S. AI, Machine Learning and Data Science
My name is Meeqat S. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Artificial Intelligence, LLM Prompt Engineering, Python, Computer Vision, etc.. I hold a degree in Master of Science (MS), Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Government of Punjab Pak– Air Quality Tracking & Forecasting System, Data Ropes, E-Commerce Chatbot Using NLP, Stock Chatbot AI Apps & Integration, Medical Chatbot Using a Combination CNN and BERT, etc.. I am based in Uxbridge, United Kingdom. I've successfully completed 8 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.
Main technologies
AI, Machine Learning and Data Science
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
Direct hire
Potentially possible
Previous Company
Graphcore
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
Github