I worked at Infoarc AI and Cedar Financial, where I developed end-to-end AI pipelines including NLP models using transformers (BERT), OCR automation with Azure Document Intelligence, demand forecasting models, and large-scale ETL workflows. My work supported clients such as Coca-Cola, Samsung, L’Oréal, Clorox, FrieslandCampina, and Metro, enabling data-driven decision-making through ML models, Power BI dashboards, and cloud-deployed services on Azure. I have strong expertise in Python, SQL, machine learning, NLP, OCR, LLM fine-tuning, and MLOps practices, with experience deploying solutions using Docker, Azure Functions, Blob Storage, and MLflow. My academic and project work includes building intelligent systems such as a voice-controlled object-search robot using YOLO and ROS, and a personality-trait prediction system using deep learning models.

Muhammad Talha Maqsood

I worked at Infoarc AI and Cedar Financial, where I developed end-to-end AI pipelines including NLP models using transformers (BERT), OCR automation with Azure Document Intelligence, demand forecasting models, and large-scale ETL workflows. My work supported clients such as Coca-Cola, Samsung, L’Oréal, Clorox, FrieslandCampina, and Metro, enabling data-driven decision-making through ML models, Power BI dashboards, and cloud-deployed services on Azure. I have strong expertise in Python, SQL, machine learning, NLP, OCR, LLM fine-tuning, and MLOps practices, with experience deploying solutions using Docker, Azure Functions, Blob Storage, and MLflow. My academic and project work includes building intelligent systems such as a voice-controlled object-search robot using YOLO and ROS, and a personality-trait prediction system using deep learning models.

Available to hire

I worked at Infoarc AI and Cedar Financial, where I developed end-to-end AI pipelines including NLP models using transformers (BERT), OCR automation with Azure Document Intelligence, demand forecasting models, and large-scale ETL workflows. My work supported clients such as Coca-Cola, Samsung, L’Oréal, Clorox, FrieslandCampina, and Metro, enabling data-driven decision-making through ML models, Power BI dashboards, and cloud-deployed services on Azure.

I have strong expertise in Python, SQL, machine learning, NLP, OCR, LLM fine-tuning, and MLOps practices, with experience deploying solutions using Docker, Azure Functions, Blob Storage, and MLflow. My academic and project work includes building intelligent systems such as a voice-controlled object-search robot using YOLO and ROS, and a personality-trait prediction system using deep learning models.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Data Engineer / AI Engineer at Infoarc AI
August 1, 2022 - February 1, 2024
Led NLP/ML projects: developed multilingual sentiment extraction for Coca-Cola using transformers (BERT); built Python REST APIs and DB workflows for Clorox; automated Excel-based reporting pipelines; deployed ML/data-processing services on Azure (Functions, Blob Storage); managed ETL pipelines and visualizations for Mingora; created ML models for e-demand forecasting; built back-end services for Friesland Campina (Omoré) using image-annotation data for real-time quality monitoring; designed Power BI dashboards for multiple clients; produced routine reporting for Metro; implemented MLflow-based MLOps; modeled sales insights for Samsung; fine-tuned LLMs for automated HR system; analyzed supply-demand with L’Oréal.
AI Engineer at Cedar Financial
August 1, 2022 - February 1, 2024
Led OCR automation using Azure Document Intelligence to improve document accuracy and reduce manual entry; built logistic regression models to improve right-party contact rates; applied Markov decision processes to rank payment files; containerized OCR preprocessing scripts and ML scoring models using Docker for cross-environment deployment.

Education

Master's in Artificial Intelligence at University of Greater Manchester
September 1, 2024 - September 1, 2025

Qualifications

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Industry Experience

Software & Internet, Professional Services, Manufacturing, Media & Entertainment, Retail