Lead Full-Stack Engineer, Tech Project Manager & CTO
Cloud (AWS, GCP, Azure), DevOps (Docker, K8s, CI/CD ..), DevSecOps, SysOps, MLOps, AI, GenAI Workflows, MCP, RAG, Multi-Agents Systems, MERN, GrapHQL
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Lead Full-Stack Engineer, proficient in designing, developing, and delivering scalable applications across enterprise digital media, SaaS, and business platforms. Experienced in developing backend services, building secure REST & GraphQL APIs, designing relational databases, and integrating modern frontend applications. Strong understanding of object-oriented programming, architectural patterns, design principles, dependency injection, and database management. Comfortable working across the full software lifecycle, from requirements analysis and backend architecture to cloud deployment. Passionate about writing maintainable, scalable software and continuously expanding technical expertise across modern development ecosystems.
- Cross-Functional Leadership: Excel at aligning developer, design, and product teams with stakeholder goals to ensure engineering excellence.
- Autonomy & Ownership: Highly self-driven, trusted to own entire lifecycles from initial ideation and architecture to production deployment.
- Analytical Problem Solving: Strong critical thinking skills tailored to debugging complex distributed networks and future-proofing application scalability.
- Mentorship & Team Growth: Experienced in fostering engineering talent, running code reviews, and managing sprint timelines and delivery risks.
Contact & Links
What I do:
- Led the development of production ready SaaS applications and the technical vision and end-to-end delivery of high-concurrency, AI-powered SaaS solutions, moving AI beyond basic chat UIs into autonomous, self-correcting multi-agent workflows.
- Compressed feature release cycles from weeks to days by pioneering an "intent-based" engineering culture, deep code automation, and robust CI/CD pipelines.
- Managed global cloud infrastructure spend and compliance, implementing enterprise-grade monitoring, logging, and auto-scaling strategies that maximized resource efficiency.
- Led consultative business discovery and technical sales conversations directly with enterprise stakeholders, mapping business requirements to actionable, high-impact technical scopes.
- Directed end-to-end product lifecycles, designing production-grade AI microservices, prompt orchestration layers, and realtime observability pipelines to maximize product impact and ROI.
- Cultivated a high-velocity, autonomous, and accountable team environment, managing product backlogs, prioritizing sprints, and balancing operational budgets with resource allocation.
- Dynamic Technical Leader and Enterprise Architect specializing in the end-to-end delivery of high-concurrency, AI-powered SaaS solutions.
- Advanced AI & Multi-Agent Engineering, Led the development of autonomous multi-agent orchestration Moved beyond basic chat UIs to execute self-correcting workflows and transform legacy data silos into interactive, real-time streaming assets.
- Orchestrated high-availability, cloud-native AWS/Azure environments using Terraform and Docker.
- Compressed feature release cycles from weeks to days by pioneering an "intent-based" engineering culture, deep code automation, and robust, automated CI/CD pipelines.
- Refactored complex legacy monoliths into high-concurrency, modular microservices and backend SaaS architectures aligned with global governance and sustainability standards.
- Implemented enterprise-grade monitoring, logging, and auto-scaling strategies that maximized system reliability, deployment speed, resource efficiency, and cloud spend optimization.
DevScale Digital Solutions :