Career Overview

Executive Career Summary

Over 19+ years, my career has evolved from enterprise application development to leading the architecture and adoption of large-scale AI, data, and cloud platforms for global enterprises.

I have consistently worked at the intersection of technology strategy, platform design, and delivery execution, owning end-to-end architecture while ensuring solutions are scalable, governed, and aligned with business outcomes. My roles have expanded from hands-on engineering to platform ownership, architectural leadership, and pre-sales solutioning, enabling organizations to modernize responsibly and adopt advanced capabilities with confidence.

Areas of Professional Focus

• Enterprise AI & Generative AI Platforms

• Data Engineering, Analytics & ML Foundations

• Cloud-Native and Multi-Cloud Architecture

• Architecture Governance & Responsible AI

• Pre-Sales Solutioning and Executive Engagement

Professional Summary

• Architecture & Governance
  Skilled in designing scalable microservices, event-driven architectures, and data mesh strategies, and implementing data governance frameworks.

• Cloud Data Engineering
  Expert in Data on Cloud Architecture, including data lakes, data warehouses, and Delta Lake implementations using BigQuery.

• Event-Driven Systems
  Strong background in Microservices and Event-Driven Architectures (EDA), leveraging technologies like Cloud Functions, Pub/Sub, and Kubernetes.

• Data Strategy & Compliance
  Proven ability to shape data strategy, define mesh frameworks and governance models, and align architecture with business goals and compliance (HIPAA, GDPR).

• Security & Infrastructure
  Collaborated with cross-functional teams to design secure IAM policies, VPC architectures, and disaster recovery strategies tailored to client compliance needs.

• Team Leadership & Mentorship
  Mentored Junior Architects and Data Engineers on best practices, inner sourcing, and reusable asset development, significantly improving team productivity.

• Technology Leadership
  Experienced technology leader with 19 years of consulting and architectural expertise in Cloud Strategy, Data Modernisation, and Generative AI solutions.

• Pre-Sales & CXO Engagements
  Led strategic pre-sales engagement with CXOs across pharma, travel & transportation, and logistics—owning solution design, executive presentations, RFP responses, and commercial estimation for multimillion-dollar cloud transformation deals.

• Business-Aligned Architecture
  Proven track record in partnering with C-suite stakeholders to design large-scale cloud-native applications, data platforms, and GenAI products aligned with business objectives.

• Generative AI Delivery
  Architected end-to-end Generative AI platforms on GCP (Vertex AI), including manual RAG pipelines, managed RAG chatbot implementations, and RAG-based AI agents.

• Cloud Transformation
  Demonstrated ability to drive enterprise transformation through cloud assessments, migrations, and modernization across GCP, AWS, and Azure.

• Strategic Thought Leadership
  Recognized thought leader in Cloud Architecture and Data Strategy, with hands-on experience leading multi-cloud modernization roadmaps and enterprise data initiatives.

Core Competencies

• Cloud Platforms & Services

  • GCP: GKE, BigQuery, Dataflow, Dataproc, Vertex AI, Pub/Sub, Cloud Functions, Cloud Composer

  • AWS: Lambda, Glue

  • Azure: Azure Data Factory (ADF), Synapse

• Cloud Strategy & Architecture

  • Cloud Assessment

  • Migration Roadmaps

  • Hybrid & Multi-Cloud Integration

  • Infrastructure as Code (Terraform, Ansible)

• Generative AI & LLMs

  • Vertex AI, Prompt Engineering

  • Manual & Managed RAG Pipelines

  • LangChain, LangChain Agents

  • GenAI-based Automation (Chatbots, AI Agents)

• Data Engineering & Modernization

  • Data Lake / Data Warehouse Design

  • Delta Lake, ELT/ETL Pipelines

  • Dataflow, Spark, Airflow/Composer

  • Streaming Data Processing

• Application Modernization

  • Microservices Architecture

  • REST APIs, Kubernetes, GKE

  • Containerization (Docker)

  • Security: OAuth2, IAM, Encryption at Rest/In Transit

• Big Data & Machine Learning

  • BigQuery ML

  • Spark ML

  • Real-time & Batch Processing Pipelines

• Data Governance & Strategy

  • Data Modeling & Quality

  • Data Mesh

  • Master Data Management

  • Compliance: HIPAA, GDPR

• Leadership & Stakeholder Management

  • Pre-Sales & RFP/RFI Responses

  • Go-To-Market Strategy

  • Global Team Management

  • CXO Engagement & Thought Leadership

Lead AI, Data & Cloud Architect

BirlaSoft India Pvt. Ltd. – Pune, India
📅 July 2023 – Present

• Own end-to-end architecture for enterprise AI, data, and GenAI platforms

• Lead platform rollout, governance, and enterprise adoption

• Partner with business and sales leadership during pre-sales cycles, executive workshops, and large transformation programs

• Ensure alignment between architecture vision, delivery feasibility, and operational sustainability

Senior System Engineer/Cloud & Data Architect

IBM India Pvt. Ltd. – Pune, India / USA / Remote
📅 June 2010 – July 2023

• Designed and operated enterprise data, analytics, and ML platforms at scale

• Built foundational ML pipelines and analytics systems prior to the emergence of Generative AI

• Established cloud-native architectures, monitoring practices, and governance models

• Supported global delivery teams across geographies and regulated environments

Assistant System Analyst / Application Developer

Tata Consultancy Services – Pune, India
📅 May 2007 – May 2010

• Worked on mission-critical core banking systems, supporting high-volume transactional workloads

• Developed strong foundations in enterprise application delivery, systems reliability, and SDLC discipline

• Gained early exposure to large-scale enterprise environments and compliance-driven systems

Graduate Engineer Trainee

Addecco Flexione Pvt. Ltd. – Pune, India
📅 June 2006 – April 2007

• Began professional career with hands-on training in IT operations and development

• Involved in small-scale application development and automation tasks

Closing Note

My work is centered on designing platforms that endure—systems that teams can operate, extend, and trust as technology evolves. Whether supporting AI adoption, data modernization, or cloud transformation, I focus on creating clarity, control, and long-term value for enterprise organizations.