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AI Engineer with 1+ years in ML Workflows & LLM Systems
Data Scientist with 1 year of experience building production-oriented software, machine learning workflows, LLM-powered systems, and business intelligence solutions. Experienced in Python, PyTorch/TensorFlow, REST API integration, data pipelines, and deploying AI-driven applications beyond notebooks into usable products. Built solutions across RAG systems, agentic workflows, forecasting, ERP/CRM-integrated dashboards, and full-stack applications. Strong background in translating business problems into practical AI systems that automate workflows, improve decision-making, and integrate with real operational environments.
Information Technology University, Lahore
Master's · Data Science
August 1, 2024 – June 30, 2026
KFUEIT, Rahim Yar Khan
Bachelor's · Software Engineering
August 1, 2018 – June 30, 2022
Technoventures
Data Scientist
October 1, 2023 – May 1, 2024
Lahore, Punjab, Pakistan
Minisoft
Web Developer
September 1, 2022 – September 1, 2023
India
Hello World Technologies
Mobile Application Developer (Internship)
April 1, 2022 – June 1, 2022
Rahim Yar Khan, Punjab, Pakistan
Mathematics for Machine Learning Specialization
Imperial College London (Coursera)
June 1, 2026 – Present
Machine Learning
Stanford Online (Coursera)
June 1, 2026 – Present
Deep Learning Specialization
DeepLearning.AI (Coursera)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience as a Data Scientist and Web Developer, along with ongoing Master's education in Data Science, shows a commitment to the AI/ML field. The diverse project exposure (forecasting, segmentation, behavior prediction, RAG systems) indicates adaptability. However, the overall experience level is relatively junior for a senior AI Engineer role, which might impact cultural fit in a highly experienced team without further upskilling.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work with stakeholders and integrate model outputs into operational workflows, suggesting good communication and operational fit. The experience in maintaining experimentation and performance tracking workflows indicates a methodical approach to problem-solving and continuous improvement.