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Ansab User

@ansabuser1

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Lead AI/ML Engineer with a passion for innovative solutions.

Saudi Arabia

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What I'm looking for

I am looking for a dynamic role that fosters innovation and collaboration, with opportunities for growth and impactful projects.

I am a Lead AI/ML Engineer with extensive experience in developing scalable AI architectures and backend systems. My journey began with a strong foundation in programming languages such as Java and Python, where I designed and maintained backend APIs for enterprise solutions. My role at Omdena allowed me to integrate AWS services and optimize real-time inference models, significantly reducing latency and enhancing performance.

Currently, I am furthering my expertise as an AI/ML Research Engineer at NUST, where I focus on creating advanced models for 3D object detection and segmentation. My work involves designing sensor fusion frameworks and engaging in technical discussions to align model performance with industry needs. I have also contributed to various projects, including a generative AI platform that improved data retrieval accuracy and optimized deep learning inference pipelines.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Research Engineer

Current

NUST

May 2023 - Jan 2025 (1 year 8 months)

Created 3D object detection and segmentation models for medical applications. Designed sensor fusion frameworks and optimized real-time models, achieving <50ms inference latency.

PyTorch CUDA TensorFlow

Current

Data Engineering Intern

Current

KPMG

Oct 2023 - Present (1 year 9 months)

Developed big data ingestion pipelines for fraud detection systems. Built real-time dashboards and APIs for anomaly detection, reducing ETL latency by 50%.

SQL NoSQL Data Pipelines Anomaly Detection ETL Dashboards APIs Fraud Detection

Generative AI Engineer

ITSOLERA Pvt Ltd

May 2024 - Jul 2024 (2 months)

Designed LLM agents for semantic search, improving retrieval accuracy. Developed scalable AI architectures and optimized deep learning pipelines, reducing response latency by 40%.

PyTorch Semantic Search Deep Learning

Research Scientist (AI/LLMs)

Omdena

May 2022 - Oct 2022 (5 months)

Designed and maintained scalable backend APIs for LLM-powered enterprise solutions. Integrated AWS services and developed perception architectures using PyTorch and JAX, achieving a 40% reduction in inference latency.

Java Python AWS Terraform PyTorch Jax CUDA Docker Kafka

Education

Degrees, certifications, and relevant coursework

National University of Sciences and Technology

Research Engineer, Artificial Intelligence and Machine Learning

2023 - 2025

As an AI/ML Research Engineer, I created 3D object detection and segmentation models for medical and autonomous applications. I designed sensor fusion frameworks combining LiDAR and camera data for enhanced perception and optimized real-time segmentation models using CUDA and multithreading, achieving <50ms inference latency.