Deepak Kumar

About Deepak Kumar

Strategic Solutions & Technical Leadership Consultative Architecture & Discovery: Expertly diagnosing enterprise \"pain points\" to design scalable, high-availability cloud architectures exclusively on Google Cloud Platform. AI-Driven Business Transformation: Leading the integration of Generative AI and machine learning into client workloads by leveraging Vertex AI and BigQuery to drive technical innovation. Full-Cycle Technical Sales Execution: Managing the end-to-end sales lifecycle, from initial technical qualification and deep needs refinement to final proposal negotiation and deal closure. Advanced Proof of Concept (PoC) Development: Building and delivering high-impact technical demonstrations and live pilots using Terraform, Python, and SQL to validate feasibility and accelerate client adoption. Strategic Deal Architecture: Serving as the lead technical resource for landmark engagements, including a $15 Million, 7-year commitment (XZY), by ensuring technical alignment with long-term business goals. Financial & Technical Value Articulation: Utilizing a unique MBA-backed perspective to translate complex cloud configurations into clear ROI, resulting in a consistent 350% average quota attainment. Enterprise Compliance & Security Mastery: Designing secure, compliant cloud environments for public sector and government clients, ensuring seamless integration with hybrid and multi-cloud best practices.

Experience

1. Pre-sales Engineer (Client Google Cloud)

   TDCX

   Sep 2022 — Present · IN

   Acts as the primary technical advisor and strategic partner during the sales cycle, bridging the gap between complex Google Cloud Platform technologies and mission-critical business objectives. I lead the technical discovery process to design scalable, secure, and cost-effective cloud architectures that secure the \"technical win\" and drive long-term digital transformation.Key Responsibilities & ImpactSolution Architecture & Design: Collaborate with Account Executives to translate customer pain points into tailored GCP solutions. Design high-level architectures for hybrid/multi-cloud environments, application modernization (GKE), and data analytics (BigQuery).Technical Validation (PoC): Lead the end-to-end Proof of Concept (PoC) process, building prototypes and pilot environments to demonstrate technical feasibility, performance benchmarks, and ROI to C-suite stakeholders.Strategic Presentations: Deliver compelling product demonstrations and technical \"whiteboard\" sessions for both technical (DevOps/CTO) and non-technical audiences, articulating the unique value proposition of Vertex AI, Anthos, and Cloud Security.Bid Management (RFP/RFI): Author comprehensive technical responses for RFPs and RFIs, creating detailed Statements of Work (SOW) and architectural diagrams that mitigate competitive threats and address compliance/security concerns.Competitive Positioning: Stay at the forefront of the cloud landscape (AWS/Azure) to effectively position Google Cloud’s differentiators in data sovereignty, open-source compatibility, and AI/ML leadership.Cross-Functional Collaboration: Ensure seamless post-sales transitions by partnering with Implementation Teams and Customer Success Managers to guarantee long-term workload health.Technical Focus AreasInfrastructure: Compute Engine, Google Kubernetes Engine, VPC Networking, Cloud Storage.Data & AI: BigQuery, Looker, Vertex AI, Pub/Sub.Security: IAM, Armor, SSC | SecOpsBasic: Linux, SQL, Python & Terraform

Education

• Nova Educational Society - Priyadarshini College Of Business Management

  Master of Business Administration - MBA, Finance and Marketing

• Osmania University

  Master of Business Administration - MBA, Finance