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I am Noor Ul Ain, a Data Scientist with over 6 years of experience developing machine learning models, fine-tuning large language models, and building agentic and generative AI solutions. I specialize in end-to-end AI pipelines, model deployment with MLflow and Azure DevOps, and delivering AI-driven results across banking, finance, supply chain, and enterprise automation. I am proficient in AI governance, Retrieval-Augmented Generation (RAG), and applying GenAI to deliver measurable business value. In my roles, I design autonomous AI workflows, power context-aware GenAI applications, and collaborate with cross-functional teams to align AI initiatives with enterprise governance frameworks.…I am Noor Ul Ain, a Data Scientist with over 6 years of experience developing machine learning models, fine-tuning large language models, and building agentic and generative AI solutions. I specialize in end-to-end AI pipelines, model deployment with MLflow and Azure DevOps, and delivering AI-driven results across banking, finance, supply chain, and enterprise automation. I am proficient in AI governance, Retrieval-Augmented Generation (RAG), and applying GenAI to deliver measurable business value. In my roles, I design autonomous AI workflows, power context-aware GenAI applications, and collaborate with cross-functional teams to align AI initiatives with enterprise governance frameworks.

Noor Ul Ain

Data Scientist, AI Engineer, AI Developer, +2

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I am Noor Ul Ain, a Data Scientist with over 6 years of experience developing machine learning models, fine-tuning large language models, and building agentic and generative AI solutions. I specialize in end-to-end AI pipelines, model deployment with MLflow and Azure DevOps, and delivering AI-driven results across banking, finance, supply chain, and enterprise automation. I am proficient in AI governance, Retrieval-Augmented Generation (RAG), and applying GenAI to deliver measurable business value. In my roles, I design autonomous AI workflows, power context-aware GenAI applications, and collaborate with cross-functional teams to align AI initiatives with enterprise governance frameworks.…I am Noor Ul Ain, a Data Scientist with over 6 years of experience developing machine learning models, fine-tuning large language models, and building agentic and generative AI solutions. I specialize in end-to-end AI pipelines, model deployment with MLflow and Azure DevOps, and delivering AI-driven results across banking, finance, supply chain, and enterprise automation. I am proficient in AI governance, Retrieval-Augmented Generation (RAG), and applying GenAI to deliver measurable business value. In my roles, I design autonomous AI workflows, power context-aware GenAI applications, and collaborate with cross-functional teams to align AI initiatives with enterprise governance frameworks.

Available to hire

I am Noor Ul Ain, a Data Scientist with over 6 years of experience developing machine learning models, fine-tuning large language models, and building agentic and generative AI solutions. I specialize in end-to-end AI pipelines, model deployment with MLflow and Azure DevOps, and delivering AI-driven results across banking, finance, supply chain, and enterprise automation. I am proficient in AI governance, Retrieval-Augmented Generation (RAG), and applying GenAI to deliver measurable business value. In my roles, I design autonomous AI workflows, power context-aware GenAI applications, and collaborate with cross-functional teams to align AI initiatives with enterprise governance frameworks.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Senior Data Scientist at Tkxel, Lahore, Pakistan

December 1, 2024 - October 22, 2025

Designed and optimized data pipelines for ingestion, transformation, training, and inference across multiple AI projects. Engineered and fine-tuned Deep Learning and Large Language Models for OCR, Computer Vision, NLP, clustering, and Time Series tasks. Fine-tuned Hugging Face and OpenAI models for specialized NLP use cases, improving domain-specific accuracy. Developed AI-powered predictive analytics and risk assessment models to support enterprise decision-making. Deployed ML models using MLflow, Azure DevOps, and Azure Machine Learning for production-ready solutions. Participated in pre-sales and proof-of-concept initiatives to showcase technical expertise.

Manager - Data Advisory at KPMG, Lahore, Pakistan

December 1, 2024 - Present

Designed and developed Agentic AI architectures enabling autonomous, goal-directed agents that interact with enterprise systems and users. Implemented Generative AI solutions for document summarization, transaction classification, intelligent knowledge retrieval, and decision support. Built and deployed Retrieval-Augmented Generation (RAG) pipelines integrating structured databases, enterprise documents, and vector search systems to power context-aware GenAI applications. Integrated GenAI copilots into workflows, reducing manual effort and enhancing decision accuracy. Collaborated with global Lighthouse teams to align with GenAI governance frameworks and enterprise AI architecture blueprints. Delivered knowledge-sharing sessions for leadership and clients on GenAI capabilities, risks, and adoption strategies.

Data Scientist at Algo.ai, Lahore, Pakistan

January 1, 2024 - October 22, 2025

Developed Machine Learning and Time Series forecasting models for demand and capacity planning, improving forecast accuracy. Fine-tuned OpenAI models to enhance supply chain management and product forecasting. Created an AI-based narration tool using OpenAI to explain stock-out events and provide actionable supply chain insights. Automated ETL workflows and implemented data monitoring tools to improve efficiency and reduce errors. Produced supply chain analytics reports using SQL and regression models for data-driven inventory management.

Data Scientist at Programmers Force, Lahore, Pakistan

July 1, 2021 - October 22, 2025

Built automated data preprocessing pipelines for quality checks, cleaning, and preparation for AI model training. Curated and maintained datasets for deep learning models in segmentation, detection, OCR, and classification. Integrated and benchmarked open-source AI models to enhance accuracy and performance. Designed integration architectures and pipelines to optimize model performance and reduce processing time. Developed statistical and deep learning models for object tracking, segmentation, detection, and classification tasks.