Ashutosh Makone
Senior Data Scientist @CGI
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WORK HISTORY
Senior Data Scientist @CGI
London, GB
Leading enterprise AI delivery within CGI’s, driving the design, development, and deployment of production-grade Machine Learning and Generative AI solutions across multiple industries.Oversee end-to-end AI lifecycle: business requirements → proof of concept → model development → production deployment → monitoring and optimisation.Architect and deploy ML and LLM-based systems using Python, Azure OpenAI, Databricks, and modern MLOps practices.Design Retrieval-Augmented Generation (RAG) pipelines and enterprise-grade GenAI applications.Serve as technical authority for model selection, architecture decisions, quality assurance, and deployment readiness.Implement governance frameworks enabling secure and responsible adoption of LLM solutions across business units.Partner with senior stakeholders (VP/EVP level) to shape AI strategy and delivery roadmaps.Mentor AI practitioners and standardise delivery processes across engagements.Technologies: Python, Azure OpenAI, Databricks, RAG, FastAPI, Kafka, CI/CD, Docker, Power BI, QGIS.
EDUCATION
Bournemouth University
Master of Science - MS, Data Science and Artificial Intelligence
Shri Sant Gajanan Maharaj Engineering College, Shegaon.
Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering
Government College of Engineering Aurangabad
Master of Engineering - MEng, Electronics
ABOUT ASHUTOSH MAKONE
Senior Data Scientist & AI Specialist based in London, delivering production-grade AI solutions across Machine Learning, Generative AI, NLP, and advanced analytics.I currently lead AI delivery within an enterprise AI Factory, overseeing end-to-end development of ML and LLM-based systems — from business problem definition and data engineering to production deployment and governance. My work spans decision-support systems, enterprise GenAI applications, geospatial analytics, optimisation, and AI-driven monitoring platforms.I combine strong hands-on engineering capability (Python, Databricks, Azure/AWS, MLOps, CI/CD) with technical leadership, architecture design, and stakeholder engagement at senior levels. I have built and deployed scalable ML and LLM systems using Azure OpenAI, RAG architectures, time-series forecasting, and modern cloud pipelines.Previously, I spent over 10 years in academia specialising in cutting-edge technologies, which strengthened my foundation in deep learning, computer vision, NLP, and applied research. I bring both rigorous technical depth and commercial delivery focus.MSc Data Science & Artificial Intelligence – Bournemouth University, UK.
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