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AR

Abdul Rehman

Open to work10 years experience

Lead AI Solution Architect

Lahore, PakistanTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Lead AI Solution Architect | CTO | RAG Pipelines, Cloud & DevOps Architecture

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

31 skills
llmsrag pipelinesai automationai agentsopenai apisknowledge-based systemsmicroservices architecturedistributed systemsapi designnode.jspythonawsgcpazurekubernetesdockerci/cdgithub actionsjenkinspostgresqlmongodbdata pipelinesdata modelingreact.jsnext.jstypescripttechnical strategyteam leadershipagile/scrumsystem modernizationperformance optimization

Work Experience

Lead Solution Architect

Spaceman Consulting Group Pty Ltd

Jul 2024 - Present Sydney, New South Wales, Australia
  • Design and deliver scalable cloud-native architectures for SaaS platforms and distributed systems across multiple client engagements
  • Lead end-to-end solution design including system architecture, data flows, and integration of backend services for high-performance applications
  • Architect microservices-based systems ensuring high availability, fault tolerance, and scalability in production environments
  • Work on AI-driven solutions including LLM integrations and automation workflows to enhance system intelligence and user experience
  • Define technical roadmaps aligning business goals with scalable engineering practices and long-term system sustainability
  • Optimize system performance, reducing latency and infrastructure costs through efficient architecture and cloud resource management

Tech Lead

WEMASY.com

Mar 2023 - Jun 2024 Ede, Netherlands
  • Led the development of scalable web and mobile applications, ensuring high performance, maintainability, and efficient system design
  • Designed and implemented backend architectures, RESTful APIs, and integrations with third-party services for complex application workflows
  • Improved CI/ CD pipelines and deployment workflows, reducing release cycles and increasing system reliability
  • Reviewed and optimized code architecture, enforcing best practices for scalability, performance, and clean code standards
  • Coordinated agile development processes including sprint planning, task prioritization, and cross-team collaboration
  • Diagnosed and resolved production issues, improving system stability and performance under high user load

Chief Technology Officer (CTO)

ZAPTA Technologies (Pvt.) Limited

Sep 2020 - Sep 2020 Houston, Texas, USA
  • Define and execute the company’s technical vision, leading the architecture and development of scalable SaaS and AI-driven platforms across multiple domains
  • Design and deliver end-to-end system architectures including microservices, distributed systems, and cloud-native applications deployed on AWS/ GCP
  • Lead the development of AI-powered features including LLM integrations, intelligent automation workflows, and data-driven applications
  • Oversee backend system design, APIs, and data pipelines supporting high-performance and scalable production environments
  • Implement CI/ CD pipelines, DevOps practices, and automated testing strategies to improve deployment speed, reliability, and system quality
  • Build and mentor high-performing remote engineering teams, ensuring strong code quality, delivery standards, and scalable engineering practices
  • Collaborate with stakeholders to translate business requirements into technical roadmaps, delivering solutions aligned with growth and scalability goals

Senior Software Engineer

Lalo

Mar 2016 - Sep 2020 Seattle, Washington, USA
  • Architected and developed scalable backend systems using Python (Django) and Node.js, supporting production-grade applications across multiple domains
  • Designed microservices-based architectures and containerized services using Docker for modular, scalable deployments
  • Implemented real-time features using WebSockets (chat, notifications), improving user engagement and system interactivity
  • Optimized application performance through caching strategies (Redis) and backend tuning, significantly reducing response times
  • Built secure authentication systems using JWT, OAuth2, and token- based mechanisms across multiple applications
  • Integrated payment gateways (Stripe, PayPal) with robust transaction handling and error-resilient workflows
  • Designed and documented REST APIs using Swagger, improving developer onboarding and collaboration efficiency

Projects

GetOnSite AI – AI Automation & RAG-Based SaaS Platform

LLMsRAG PipelinesSaaSCloud-nativeContainerization
  • Led the end-to-end architecture and development of an AI-powered SaaS platform designed to automate complex business workflows using LLM-driven systems
  • Designed and implemented advanced RAG pipelines integrating LLMs with internal knowledge bases and external data sources for context-aware automation
  • Built scalable backend systems and modular APIs supporting AI workflows, third-party integrations, and real-world production use cases across multiple domains
  • Developed robust data pipelines including document ingestion, chunking, embedding generation, and retrieval optimization to ensure high accuracy and performance
  • Deployed cloud-native architecture with containerized services, ensuring scalability, system reliability, and long-term maintainability in production environments

Apex Markets – Trading & AI Analytics Platform

Real-time tradingData pipelinesTime-series dataAI-driven analyticsCloud deployment
  • Architected and led the development of a real-time trading and analytics platform supporting high- frequency financial data processing and user-driven insights
  • Designed scalable backend systems and data pipelines to process continuous financial data streams with low latency and high reliability in production environments
  • Built and optimized data workflows for handling large volumes of time-series data, ensuring accuracy, consistency, and fast access for analytics
  • Integrated AI-driven analytics and intelligent automation features to enhance trading decisions and provide predictive insights to end users
  • Optimized system architecture and database performance to support high-load trading scenarios, improving responsiveness and overall system stability
  • Contributed to cloud deployment, monitoring, and performance tuning to ensure long-term scalability and reliability of the platform

EnterpriseReady – SaaS ERP & Data Platform

SaaS ERPMicroservicesCloud-nativeData modeling
  • Led the architecture and development of a scalable SaaS ERP platform supporting complex business workflows, multi-tenant systems, and enterprise-level operations
  • Designed backend systems, APIs, and data models enabling seamless integration across multiple services and third-party platforms
  • Built and optimized data processing workflows to support high-volume transactional operations and business-critical processes
  • Designed cloud-native architecture ensuring high availability, system security, and performance across multiple enterprise clients
  • Improved system maintainability and scalability through modular architecture, microservices design, and clean engineering practices
  • Collaborate with cross-functional teams to deliver secure, maintainable, and production-ready solutions across diverse domains

Repurpose.io – Content Automation & Scalable SaaS Platform

Content automationSaaSCloud-based architecture
  • Contributed to the architecture and scaling of a high- volume content automation platform enabling users to repurpose and distribute content across multiple digital channels
  • Designed and optimized backend systems and APIs to handle large-scale content processing, workflow automation, and third-party integrations
  • Built and improved automation pipelines supporting scheduling, transformation, and multi-platform publishing of content at scale
  • Worked on scalable cloud-based architecture ensuring system reliability, performance, and seamless integration with external platforms
  • Enhanced system efficiency by optimizing workflows, reducing manual operations, and improving overall platform performance

OpenBots – AI & RPA Automation Platform

RPAAutomation pipelinesTask orchestrationCloud-based infrastructure
  • Contributed to the architecture and development of an enterprise-grade automation platform enabling robotic process automation (RPA) across business workflows
  • Designed backend systems and APIs supporting automation pipelines, task orchestration, and integration with external enterprise systems
  • Built scalable automation workflows to streamline repetitive processes, improving operational efficiency and reducing manual intervention
  • Worked on cloud-based infrastructure ensuring system reliability, performance, and scalability for enterprise use cases
  • Collaborated with cross-functional teams to deliver production-ready automation solutions across multiple industries

Kosmic.ai – AI Platform & Intelligent Systems

AI-driven systemsLLMsIntelligent automationCloud environments
  • Contributed to the development of AI-driven systems integrating LLMs for intelligent automation, content generation, and workflow optimization
  • Designed backend architectures enabling seamless integration of AI models with applications, APIs, and external data sources
  • Built scalable systems supporting AI-powered features in production environments with focus on performance and reliability
  • Worked on automation pipelines and intelligent workflows to enhance user experience and reduce manual effort
  • Supported deployment and optimization of AI systems across cloud environments ensuring scalability and maintainability

Health & Safety Dashboard – Enterprise Analytics Platform

Data-driven dashboardData pipelinesCloud-based deployment
  • Designed and developed a data-driven dashboard platform for monitoring health, safety, and operational metrics across enterprise environments
  • Built scalable backend systems to aggregate, process, and visualize real-time and historical data from multiple sources
  • Implemented APIs and data pipelines enabling seamless ingestion, transformation, and reporting of structured and unstructured data
  • Developed interactive dashboards and reporting tools to support decision-making and improve operational visibility
  • Ensured system scalability, performance, and reliability through cloud-based deployment and optimized data handling strategies

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Achievements Not Earned

Special rewards, developer badges, system recognition certificates, and conceptual milestones will display here.

About Details

Professional Bio

Lead AI Solution Architect and CTO with 10+ years of experience designing and delivering scalable software systems, AI-driven platforms, and cloud-native architectures. Specialized in building LLM-powered applications, RAG pipelines, and intelligent automation systems.

Master of Science (MS) in Data Science

National University of Computer and Emerging Sciences (2018 - 2020)

Bachelor of Science (BS) in Software Engineering

Superior University (2014 - 2018)

Languages: English, Hindi
Email: Locked