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Walee ismail

@waleeismail1

Senior ML Engineer at Prypco; architected a document intelligence platform processing 1,000+ mortgage applications monthly.

United States

Message

At Prypco, I architected an enterprise Generative AI document intelligence platform that processes 1,000+ mortgage applications monthly. I designed secure AI workflows with retrieval, validation, and human review, and helped reduce mortgage advisor review time by 70%.

At EY, I designed Generative AI solutions for healthcare, including RAG pipelines, AI agents, and clinical summarization systems. These platforms supported initiatives processing 50,000+ clinical encounters annually.

At Indrive, I developed cloud-based backend systems for a transportation platform. I improved ride matching and routing workflows, contributing to a 13% reduction in ride allocation time and $1.2M in annual operational savings.

Experience

Work history, roles, and key accomplishments

Current

Senior ML Engineer

Current

Prypco

Oct 2024 - Present (2 years)

Architected an enterprise Generative AI document intelligence platform using cloud-native AI services, LLM orchestration, RAG workflows, and scalable backend systems to process 1,000+ mortgage applications monthly. Engineered human-in-the-loop AI workflows integrating WhatsApp Business API, Slack, and automated decision pipelines, reducing mortgage advisor review time by 70%.

Generative AI LLM orchestration RAG Cloud Native Architecture AWS Langfuse AI Observability Human In The Loop WhatsApp Business API Slack

Data Scientist

Feb 2021 - Oct 2024 (3 years 8 months)

Architected and delivered enterprise-scale Generative AI solutions on AWS, designing secure cloud-native architectures using Amazon Bedrock, SageMaker, Lambda, ECS Fargate, Kinesis, Textract, and Terraform/CDK for healthcare AI transformation initiatives. Led the design of LLM-powered applications including RAG pipelines, AI agents, document intelligence workflows, and clinical summarization syste

AWS Amazon Bedrock Sagemaker Lambda AWS ECS Fargate Kinesis Textract Terraform CDK RAG AI Agents Document Intelligence Clinical Summarization Healthcare AI

Software Engineer

Indrive

Sep 2017 - Feb 2021 (3 years 5 months)

Designed and developed scalable cloud-based backend systems for a high-traffic transportation platform using Python, Django, PostgreSQL, Redis, and AWS infrastructure. Architected and optimized ride-matching and dispatch systems using Celery, Redis, and PostGIS, reducing ride allocation time by 13% and improving matching efficiency.