Mani Bhushan — CTO

I am a systems-focused engineering leader with 10+ years of experience architecting large-scale distributed systems, modernizing infrastructure, and driving engineering strategy across fintech, logistics, GeoSpatial and high-throughput platforms. My work spans systems architecture, domain-driven design, microservices, platform reliability, cloud optimization, and GenAI integration. As a Principal Engineer and former CTO, I operate as a technical force multiplier by defining architectural direction, influencing cross-functional teams, and raising engineering standards through mentorship, design reviews, and long-term planning. I focus on simplifying complex systems, reducing operational overhead, and building resilient, scalable platforms that support millions of transactions with low latency and high availability. I recently led GenAI initiatives by standardizing data catalogs and building internal LLM-based insight engines using prompt chaining. These efforts enabled domain teams to generate insights independently and reduced dependency on engineering resources. I also delivered major infrastructure modernization programs that achieved up to 60 percent cloud cost savings, improved reliability, and established CI/CD, security, and compliance foundations including PCI-DSS and ISO-27001. I thrive in environments that value deep technical ownership, strong architectural judgment, and collaboration across organizational boundaries. My work centers on driving platform evolution, influencing technical direction across teams, and scaling engineering practices. Beyond code, I contribute through mentorship, design leadership, and aligning stakeholders around high-impact technical investments. Core Strengths for Big-Tech Staff Roles: • Large-Scale Architecture: Microservices, event-driven systems, highly available platforms, zero-downtime migrations. • Cross-Org Technical Leadership: Multi-team architecture, best-practice development, senior engineer guidance. • GenAI Integration: Internal LLM platforms, prompt-based insight systems, data catalog standardization. • Infrastructure & Reliability: AWS optimization, Kubernetes, Terraform, secure pipelines, performance tuning. • Execution at Scale: Zero-to-one product building, rapid iteration, alignment with product and business. • Mentorship & Engineering Culture: Enabling ownership, improving quality, fostering continuous improvement. I excel in roles requiring deep technical expertise and broad architectural influence, enabling teams to deliver reliable, high-impact systems with clarity and speed.

Stackforce AI infers this person is a Fintech and SaaS expert with a focus on scalable architecture and engineering leadership.

Location: Bengaluru, Karnataka, India

Experience: 10 yrs 7 mos