Rahul Jain

CTO

Mumbai, India15 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Scaled engineering teams from 40 to over 300 engineers.
Hired and trained over 400 developers.
Led architecture for large-scale fintech platforms.

Stackforce AI infers this person is a Fintech and SaaS expert with a strong focus on AI-driven solutions.

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Skills

Core Skills

Technical ArchitectureCloud-native ArchitectureTechnology LeadershipArtificial Intelligence (ai)Saas Development

Other Skills

FinTechScalable Web ApplicationsCloud ArchitectureAI AdoptionMicroservicesTeam BuildingLeadershipMentoringAWSCloud Cost OptimizationArtificial IntelligenceRAG ArchitecturesHands-on Technical LeadershipSSO IntegrationsREST APIs

About

I’m a Chief Technology Officer with 16+ years of experience building, scaling, and leading high-performance engineering organizations across fintech, SaaS, and enterprise platforms. I specialize in turning complex business problems into scalable, secure, production-grade technology platforms from cloud-native architectures to AI-powered systems. What I work on today: Designing and scaling SaaS platforms used by millions of users Building AI-powered systems using RAG architectures (LangChain, LangGraph) for knowledge retrieval, automation, and decision support Architecting high-availability, fault-tolerant systems on AWS Reducing cloud infrastructure costs without compromising performance Building and mentoring engineering teams at scale Career highlights: Scaled engineering teams from 40 to 300+ engineers Hired and trained 400+ developers Led architecture for large-scale fintech platforms handling high-volume, real-time transactions Built cloud-native systems using Node.js, .NET, Docker, Redis, PostgreSQL Served as technical architect for Digital Gold platforms used across India I believe AI should be practical, production-ready, and business-driven, not hype-driven. My focus is on building AI systems that actually improve efficiency, decision-making, and user experience. 📩 Open to: CTO roles, Fractional CTO, Advisory engagements, AI platform strategy, and architecture consulting, Pro bono consulting.

Experience

15 yrs 3 mos

Total Experience

7 yrs 7 mos

Average Tenure

10 yrs 3 mos

Current Experience

Nimap infotech

Chief Technology Officer

Feb 2016 – Present · 10 yrs 3 mos · Mumbai · On-site

As CTO, I lead the technology strategy, architecture, and delivery for startups, enterprise and fintech platforms, scaling teams and systems to support rapid growth and complex business needs.
Built and scaled the engineering organization from 40 to 300+ engineers
Hired and mentored 400+ developers, building strong leadership pipelines
Defined cloud architecture standards (AWS) for scalability, security, and cost efficiency
Led modernization of legacy systems into cloud-native microservices
Introduced modern stacks (Node.js, MERN, Docker, Redis, PostgreSQL, AI) across multiple business lines
Driving AI adoption through RAG-based systems using LangChain and LangGraph
Worked closely with founders and business leaders to align tech strategy with business growth

FinTechScalable Web ApplicationsCloud ArchitectureAI AdoptionMicroservicesTechnical Architecture+1

Cornerstone ondemand

Technical Lead

Feb 2011 – Feb 2016 · 5 yrs

Designed and implemented SSO integrations using SAML 2.0, OAuth 2.0, and custom IDP configurations
Built secure authentication flows, token validation mechanisms, and role-based authorization models
Developed and optimized REST/WCF APIs handling high-volume user provisioning and organizational data sync
Designed scalable data pipelines to process bulk OU and User feeds from enterprise clients
Optimized SQL queries and indexing strategies to improve provisioning performance and reduce sync latency
Implemented reusable, client-specific customization layers without impacting multi-tenant architecture
Worked directly with enterprise clients (Amazon, Barclays, BNP Paribas) on technical integration, debugging identity flows, and resolving federation issues
Led code reviews, architectural decisions, and production issue resolution across distributed teams (US–India)