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Zirgham Ilyas

Development
London, United Kingdom

Skills

Machine Learning (ML)

About

ZIRGHAM ILYAS's skills align with IT R&D Professionals (Information and Communication Technology). ZIRGHAM also has skills associated with Engineering Managers (Engineering). ZIRGHAM ILYAS has 5 years of work experience.
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Work Experience

Artificial Intelligence Engineer

March 2024 - Present
  • UK) As an Artificial Intelligence Engineer at Radical AI, I am leveraging technologies such as OpenAI and Google Gemini to develop ReX, an AI Coach who serves as a steadfast career companion for learners, offering personalized coaching, mentorship, and support throughout the various phases of user's career lifecycle. Skills: Prompt Engineering, RAG, VertexAI, LangChain, Streamlit.

Data Scientist

February 2022 - Present
  • Proficient in the active design, implementation, and maintenance of data pipelines, coupled with the provision of analytics solutions. This is achieved through the application of MLOps practices, utilizing tools such as Docker, ML Flow, Evidently AI, and AWS/GCP. Moreover, experienced in leveraging Tableau and Power BI for building interactive dashboards, conducting data visualization, and implementing various use cases to drive data-driven decision makings for nontechnical stakeholders.

Machine Learning Engineer

Devomech Solutions
January 2020 - February 2022
  • Engaged in a variety of projects involving CNN, LSTM, and NLP, achieving significant outcomes in the areas of human activity recognition/pose detection, and text classification with an accuracy rate of over 90% in both. Expertise in data collection, pre-processing, and comprehensive analysis in partnership with the engineering and development team. Skilled in identifying, analysing, and interpreting patterns in complex datasets, including tabular, image, and text formats.

Research Assistant

Quaid-i-Azam University
April 2019 - February 2021
  • Served as a Research Assistant and authored a paper published by Springer, utilizing the ResNet-101 architecture for anomaly classification. Successfully achieved an exceptional accuracy of 99%, demonstrating my robust coding and research capabilities and strong writing skills.

Education

Northumbria University London

MSc
January 2022 - January 2023

Quaid-i-Azam University

MPhil
January 2017 - January 2020

Quaid-i-Azam University

BS
January 2013 - January 2017

Punjab Group of College

January 2011 - January 2013