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I am an aspiring machine learning and Generative AI engineer with a strong foundation in statistical modeling, optimization, and data engineering. I have experience building and evaluating ML systems using Python, with hands-on work through self-directed projects and rigorous experimentation.\n\nI am currently pursuing a Master’s in Data Science at SZABIST Islamabad and deepening expertise in LLM-based and agentic systems through PIAIC. Motivated by open-ended problems in intelligence, learning dynamics, and real-world deployment of ML systems.…I am an aspiring machine learning and Generative AI engineer with a strong foundation in statistical modeling, optimization, and data engineering. I have experience building and evaluating ML systems using Python, with hands-on work through self-directed projects and rigorous experimentation.\n\nI am currently pursuing a Master’s in Data Science at SZABIST Islamabad and deepening expertise in LLM-based and agentic systems through PIAIC. Motivated by open-ended problems in intelligence, learning dynamics, and real-world deployment of ML systems.

Ali Raza

AI Engineer, Data Scientist, Project Manager, +3

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I am an aspiring machine learning and Generative AI engineer with a strong foundation in statistical modeling, optimization, and data engineering. I have experience building and evaluating ML systems using Python, with hands-on work through self-directed projects and rigorous experimentation.\n\nI am currently pursuing a Master’s in Data Science at SZABIST Islamabad and deepening expertise in LLM-based and agentic systems through PIAIC. Motivated by open-ended problems in intelligence, learning dynamics, and real-world deployment of ML systems.…I am an aspiring machine learning and Generative AI engineer with a strong foundation in statistical modeling, optimization, and data engineering. I have experience building and evaluating ML systems using Python, with hands-on work through self-directed projects and rigorous experimentation.\n\nI am currently pursuing a Master’s in Data Science at SZABIST Islamabad and deepening expertise in LLM-based and agentic systems through PIAIC. Motivated by open-ended problems in intelligence, learning dynamics, and real-world deployment of ML systems.

Available to hire

I am an aspiring machine learning and Generative AI engineer with a strong foundation in statistical modeling, optimization, and data engineering. I have experience building and evaluating ML systems using Python, with hands-on work through self-directed projects and rigorous experimentation.\n\nI am currently pursuing a Master’s in Data Science at SZABIST Islamabad and deepening expertise in LLM-based and agentic systems through PIAIC. Motivated by open-ended problems in intelligence, learning dynamics, and real-world deployment of ML systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Product Coordinator at Veynai

October 20, 2025 - Present

Led end-to-end AI/data-driven product coordination, coordinating cross-functional teams across enterprise clients in insurance, telecoms, and banking; enabled 40% faster delivery of critical data batches; automated data workflows; created dashboards using Power BI; supported decision making; ensured SLA adherence through proactive risk mitigation.

Project Coordinator at Spine Engineering

September 20, 2021 - Present

Led cross-functional teams to deliver data-driven solutions aligned with business goals; maintained project governance and delivery visibility through Jira-based tracking, documentation, agile ceremonies, proactive risk mitigation; achieved 100% client acceptance with minimal post-delivery escalations.

Project Coordinator at Bluetech Consulting

October 20, 2022 - Present

Defined project scope and objectives with stakeholders; coordinated cross-functional teams to deliver data-driven solutions with faster delivery; monitored and optimized data workflows; created dashboards using Power BI; ensured 100% client acceptance with minimal post-delivery escalations.