Ravi Bhatia

Director Engineering at Cerebrumx

Based in South Delhi, India

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Seniority

Director

Department

Engineering

Location

South Delhi

Industry

Embedded Software Products

Company size

35

Contact information

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Email

1 credit

r•••••••@cerebrumx.ai

Phone

5 credits

+91 ••• •••• ••••

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Background

About Ravi Bhatia

Engineering Leader | Cloud & Data Platform Architect | AI/ML | IoT & Edge | Scalable Systems I’m a mission-driven technology leader with over 15 years of experience delivering scalable, cloud-native platforms and leading high-impact engineering teams across diverse domains, including SaaS, fintech, e-commerce, and IoT. My passion lies in solving complex platform and data challenges through pragmatic architecture, people leadership, and hands-on innovation. I’ve led cross-functional engineering units—including backend, frontend, DevOps, QA, and data science—building real-time, event-driven systems using microservices, data lakes, and modern AI/ML toolchains. My expertise spans multi-cloud infrastructure (AWS, Azure, GCP), scalable data platforms, and full-stack product delivery optimized for performance, security, and reliability. From IoT telemetry to AI-powered decision systems, I specialize in architecting edge-to-cloud solutions that integrate high-volume data ingestion, API-first design, security frameworks, and predictive analytics to drive business value. Core Competencies: Engineering leadership, org scaling, and mentorship (teams 25–125+) Cloud-native architecture, Kubernetes, serverless, IaC, CI/CD Event-driven & microservices-based system design Real-time data engineering (Kafka, MQTT, Spark, Databricks) AI/ML platforms (generative AI, predictive analytics, RAG, LLM ops) IoT & edge computing: data pipelines, OTA, consent models Agile product delivery, OKRs, KPI-driven execution Budgeting, stakeholder engagement, and global delivery My leadership style is outcome-oriented and people-first. I’m passionate about building inclusive engineering cultures, modernizing legacy platforms, and aligning deep-tech strategy with long-term business outcomes. Open to senior roles like VP of Engineering, Head of Engineering, or CTO in cloud, IoT, or data-driven organizations.

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