Suhaib Ur Rehman

About Suhaib Ur Rehman

Currently Co-Founder & CTO of WorkWise AI, where I lead product and engineering for an AI-powered safety and risk assessment platform. In this role, I’ve guided technology strategy, built a multi-tenant SaaS solution, and integrated machine learning models into real-world safety workflows.With 20 years in backend systems, APIs, and cloud infrastructure, I’ve led engineering at Uber, Lyft, Chime, and Palo Alto Networks. My work spans global-scale systems, API-first platforms, and AI/ML integration into SaaS products.I bring value in three modes:Fractional CTO / Advisor → guiding startups on architecture, scaling, and team growth.Consulting / Technical Expert → backend/API design, infra optimization, performance, and security.Board / VC Diligence → technical due diligence, founder mentorship, and SaaS/AI strategy for portfolio companies.Past highlightsUber → rebuilt fare infrastructure serving tens of millions of daily requests.Lyft → led backend systems for premium rides, driving revenue growth.Chime → built real-time payments pipeline with fraud detection at scale.Palo Alto Networks → designed APIs that reduced integration issues by 60%.WorkWise AI → built AI-powered SaaS for industrial safety and compliance. Open to: Fractional CTO roles, advisory work, consulting engagements, and Principal/Staff engineering leadership

Experience

1. CTO Co-founder

   Workwise Ai

   Nov 2024 — Present · San Francisco, CA, US

   Dynamic Risk Assessment for Industrial Health and SafetyArchitected and launched an AI-powered risk assessment SaaS for industrial safety, integrating ML-driven hazard prediction models.Built and fine-tuned LLMs (Flan-T5, LoRA/PEFT), deployed via Cloud Run, and implemented semantic search (FAISS, RAG) for real-time hazard retrieval.Designed a multi-tenant SaaS platform using Firebase (Auth, Firestore, Functions, FireAPI) alongside AWS RDS, Amplify, and OpenSearch for scale and compliance.Delivered end-to-end ML pipelines — from training to inference — supporting classification and risk prediction workflows.Deployed product MVP into Autodesk ACC for industry trial, enabling early customer feedback and validation.Guided product strategy, engineering execution, and adoption efforts, while collaborating with freelancers and advisors to deliver fast MVP iterations.

Education

• Georgia Institute of Technology

  Master of Science (MS), Computer Science

Skills

• Real Estate
• File Systems
• Hive
• Software Development
• Apache Kafka
• Python
• Kernel Programming
• Spring
• Hbase
• Distributed File Systems
• Programming
• Win32 Api
• Software Design
• Analytics
• Android Development
• Real Time System Design
• Healthcare Information Technology (Hit)
• C++/C
• Multithreading
• Device Drivers
• Tcp/Ip
• Object Oriented Design
• Storage Systems
• Perl
• System Architecture
• Data Structures
• Hadoop
• Scalability
• Cloud Security
• Backend Development
• Git
• Systems Programming
• Shell Scripting
• Postgresql
• Algorithms
• Apache Storm
• Infrastructure
• Cloud Computing
• Avro
• Fintech