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Taha Nur

@tahanur

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Senior AI/ML Engineer at Complya building LLM agents and production RAG systems for real-time conversational AI.

United States

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At Complya, I develop domain-specific AI calling agents and production LLM solutions, with a focus on low latency and cost-efficient inference. I built end-to-end RAG systems with OpenAI, Claude, and Vertex AI, and developed real-time conversational AI using FastAPI and WebSockets.

At Estela, I trained computer vision models for real-time detection and developed ML pipelines and model-serving APIs. I also worked on speech systems, NLP, and model optimization, including improving throughput from 5 FPS to 33 FPS.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Complya

Sep 2021 - Present (5 years 1 month)

Developed domain-specific AI calling agents and agentic workflows, optimizing performance using hybrid approaches. Designed and deployed scalable, production-grade LLM solutions with a focus on cost optimization, low latency, and efficient inference.

AI/ML Engineer | Computer Vision Engineer

Estela

May 2018 - Aug 2021 (3 years 3 months)

Trained and fine-tuned computer vision models (YOLOv5, InceptionV2, VGG16) for real-time detection and high-accuracy applications. Built end-to-end ML pipelines for data ingestion, training, validation, and deployment, enabling rapid and reproducible experimentation.

AI/ML Engineer

ESS

Jul 2016 - Feb 2018 (1 year 7 months)

Assisted in developing machine learning models for classification, regression, and basic computer vision tasks using Python (Scikit-learn, OpenCV). Built data preprocessing and feature engineering pipelines to clean, transform, and prepare structured and unstructured datasets.