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Meeqat S. — Senior Machine Learning Engineer from United Kingdom

Meeqat S.

Senior Machine Learning Engineer

United Kingdom 6+ years
Open to offersNew to Platform
Languages
English
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About

Meeqat S. is an experienced AI/ML and Python Developer based in London, United Kingdom, with over eight years of experience in machine learning, deep learning, and statistical analysis. Meeqat’s expertise covers a wide array of technologies including natural language processing (NLP), computer vision, and the development of AI-driven solutions for real-world challenges. While working at a global communications agency, Meeqat led data analysis on social media assets, enhancing campaign engagement by 25% and improving ad targeting. At an IT consultancy, Meeqat managed IT infrastructure for one of London's largest carpet retailers. In a company focusing on advanced analytics, Meeqat designed a LLaMA 2 chatbot, improving response relevance significantly. Recent projects include refining a medical imaging solution to improve cancer detection accuracy and building a real-time credit card fraud detection system. Meeqat's education includes a MSc in Artificial Intelligence from Brunel University London and a BS in Electrical Engineering.

Experience

  • Senior Software Engineer

    VulcanTech UK · 2024 — Present
    Developed and deployed Generative AI pipelines utilizing LLMs for enterprise automation. Built and optimized RAG (Retrieval Augmented Generation) systems, leading to a 45% improvement in query accuracy. Worked collaboratively across functions to integrate AI models into production environments.
  • Machine Learning Engineer

    M&C Saatchi World Services · 2021 — 2023
    Designed and fine-tuned a LLaMA 2 chatbot using proprietary datasets, enhancing response relevance by 40% and user engagement. Integrated Pico analysis into chatbot workflows, resulting in a 35% improvement in response relevance and a 20% reduction in average query handling time.
  • Machine Learning Engineer

    Pinnacle Gb Limited · 2021 — 2023
    Refined a medical imaging solution by integrating CNN and Clinical-BERT, significantly improving cancer detection accuracy. Developed a system for facial recognition-based attendance using Jetson Nano, incorporating both mobile and desktop applications with React Native.
  • Machine Learning Engineer

    Heco Analytics
    Conducted analysis on an image processing solution to extract registration numbers utilizing edge detection algorithms. Developed a system that generates classical music compositions using LSTM networks. Built a machine learning model for fraud detection using transaction data sourced from Kaggle.

Skills & Expertise

Education

  • MSc in Artificial Intelligence
    Brunel University London · 2021 — 2023
  • BS in Electrical Engineering
    Information Technology University, Lahore · 2014 — 2018