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I'm Muhammad Usama, a Lead AI Solution Architect with a proven track record of delivering enterprise-grade AI platforms across AWS, Azure, and Google Cloud. I design scalable cloud-native architectures, lead cross-functional teams, and drive measurable improvements in document processing, automation, and decision pipelines for large organizations. I enjoy turning complex AI challenges into practical, governance-ready solutions, mentoring engineers, and delivering dashboards and performance metrics that stakeholders can trust across multi-year deployments.…I'm Muhammad Usama, a Lead AI Solution Architect with a proven track record of delivering enterprise-grade AI platforms across AWS, Azure, and Google Cloud. I design scalable cloud-native architectures, lead cross-functional teams, and drive measurable improvements in document processing, automation, and decision pipelines for large organizations. I enjoy turning complex AI challenges into practical, governance-ready solutions, mentoring engineers, and delivering dashboards and performance metrics that stakeholders can trust across multi-year deployments.

Muhammad Usama

Architect, AI Engineer, Data Scientist, +2

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I'm Muhammad Usama, a Lead AI Solution Architect with a proven track record of delivering enterprise-grade AI platforms across AWS, Azure, and Google Cloud. I design scalable cloud-native architectures, lead cross-functional teams, and drive measurable improvements in document processing, automation, and decision pipelines for large organizations. I enjoy turning complex AI challenges into practical, governance-ready solutions, mentoring engineers, and delivering dashboards and performance metrics that stakeholders can trust across multi-year deployments.…I'm Muhammad Usama, a Lead AI Solution Architect with a proven track record of delivering enterprise-grade AI platforms across AWS, Azure, and Google Cloud. I design scalable cloud-native architectures, lead cross-functional teams, and drive measurable improvements in document processing, automation, and decision pipelines for large organizations. I enjoy turning complex AI challenges into practical, governance-ready solutions, mentoring engineers, and delivering dashboards and performance metrics that stakeholders can trust across multi-year deployments.

Available to hire

I’m Muhammad Usama, a Lead AI Solution Architect with a proven track record of delivering enterprise-grade AI platforms across AWS, Azure, and Google Cloud. I design scalable cloud-native architectures, lead cross-functional teams, and drive measurable improvements in document processing, automation, and decision pipelines for large organizations.

I enjoy turning complex AI challenges into practical, governance-ready solutions, mentoring engineers, and delivering dashboards and performance metrics that stakeholders can trust across multi-year deployments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Lead AI Solution Architect at Folium AI Solutions

August 1, 2025 - Present

Architected enterprise AI platforms across AWS, Azure, and GCP, designing scalable, cloud-native solutions. Led multi-disciplinary teams and governance for 50K+ monthly automated decisions across three enterprise clients, delivering reliability improvements and measurable business impact.

Senior Software Engineer (AI/ML) at Devsinc Ltd

July 1, 2024 - June 30, 2025

Led LLM automation rollouts for real estate clients, achieving 35-45% reductions in manual processing time. Standardized architecture practices across projects and mentored a team of 6+ engineers, aligning across AI/ML, data engineering, and platform ops.

Data Scientist at Aiformax

February 1, 2021 - July 1, 2024

Developed ML/LLM pipelines for fraud detection recall improvements and reduced false positives. Built event-driven services on AWS using FastAPI and Django; created evaluation frameworks with GPT and Bedrock models to boost response reliability by ~20%. Implemented cloud-native pipelines (MLflow, DVC) and documented dashboards for governance.