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Jannatul Mourey

@jannatulmourey

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AI/ML engineer delivering production-grade models, MLOps, and cloud-native solutions.

Canada

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What I'm looking for

I am seeking roles where I can lead end-to-end ML projects, apply cloud-native MLOps, mentor teams, and build production-grade AI solutions with RAG/LLM and computer vision focus.

I am an AI/ML engineer with five years of experience delivering production-grade machine learning systems, leading model development, and owning end-to-end MLOps and data pipelines.

I have improved semantic segmentation accuracy by 15%, increased dataset quality by 20%, and scaled data volume by 30% using augmentation and GAN-based synthetic generation, while also optimizing data retrieval and validation workflows.

I have built and deployed models on cloud platforms (AWS, GCP) and edge devices, created CI/CD pipelines, and developed backend APIs with Flask and FastAPI to ensure robust, scalable AI products.

I enjoy technical leadership and mentoring, coordinating cross-functional teams, and designing RAG and LLM-based solutions to solve real-world problems with an emphasis on automation, efficiency, and production readiness.

Experience

Work history, roles, and key accomplishments

Current

Freelance AI/ML Developer

Current

Multi-clients

Jan 2025 - Present (1 year)

Designed and delivered RAG-powered mobile and medical assistant applications using low-code platforms with custom LLM workflows, enabling real-time context-aware insights and retrieval-based medical guidance.

RAG LLM Low Code Python API Development Prompt Engineering Deployment

AI Project Architect

Precision AI

Nov 2022 - Dec 2024 (2 years 1 month)

Architected and led AI initiatives, coordinating cross-functional teams to deliver production ML systems, orchestration of MLOps pipelines, and deployment across cloud and edge environments.

MLOps Cloud Architecture CI CD Team Leadership Python TensorFlow PyTorch

ML Engineer

Precision AI

Oct 2020 - Oct 2022 (2 years)

Built end-to-end ML pipelines, improved dataset quality by 20% and retrieval efficiency by 30%, and developed semantic segmentation and detection models achieving a 15% accuracy improvement; deployed models to cloud and NVIDIA Jetson edge devices.

Object Detection Python Data Engineering AWS Google Cloud Docker Flask fastAPI

Freelance ML Engineer

Multi-clients

Jan 2020 - Sep 2020 (8 months)

Developed real-time traffic signal detection and segmentation using YOLO variants on a custom dataset, achieving mAP 66%, recall 57% and accuracy 61% for production video inputs.

YOLO Computer Vision PyTorch Model Evaluation Video Analytics Python

ML Engineer

Servus Credit Union

May 2019 - Dec 2019 (7 months)

Implemented backend systems and delivered NLP chatbot and sentiment-analysis features integrating facial expression recognition, backed by MySQL and MongoDB architectures.