I am a marketer and a software developer. With 8+ years of Adobe Marketo architecture, technical program management, and global operations leadership across Tier-1 FinTech, global cloud infrastructure, and enterprise agency ecosystems, I bridge business requirements with system architecture, deterministic automation, and agentic AI.
// Technical Case Studies
Deep dives into workload automation (600 hrs/yr), real-time ad attribution pipelines, and distributed MarTech architectures are available on request.
Interested in the complete technical breakdown and workflow architectures? Leave your details below and I will gladly share the case study write-ups with you.
// Career Journey
Chronological progression through engineering, architecture, and marketing operations leadership.
Leads 6 operations specialists across two key verticals: LeadOps (4) and AdOps (2). Accountable for global marketing operations, ad tech integration, strict SLA governance, and AI-enabled productivity.
Managed global marketing campaign infrastructure, multi-region marketing automation, and core MarTech platform integrations.
6-year career progression: Marketing Technology Associate → Specialist → Senior Technology Engineer → Technical Project Manager.
Foundational computer science and software engineering education. Engineered an Android hospital-management app associated with Narayana Hospitals. Certified in Linux Training by IIT Bombay.
// End-to-End Systems Mastery
An interactive 3D model of the marketing and revenue lifecycle — click or drag the 3D tiers below to explore my engineering deliverables, architecture, and quantified impact across each stage.
// Work & Ventures
A showcase of full-stack web applications, AI automation agents, and enterprise MarTech platforms.
Independent venture & custom headless-style publishing platform. Built with React 19, Next.js 16, Node/Express, and MongoDB Atlas. Features authenticated admin workflows, draft-to-publish review states, programmatic SEO, and automated content delivery.
Agentic operations framework pairing local LLMs (Ollama / Qwen) with deterministic validation rules for automated campaign QA, Smart Campaign verification, token validation, and lead-routing checks. Drives up to 80% reduction in manual campaign QA cycles.
Core internal operational suite powering global AdOps and LeadOps. Features self-serve SQL data warehouse reporting models, automated SLA tracking across 126 campaigns, and zero-PII domain attribution for performance marketing budget decisions.
Enterprise architectures designed across global agencies and leading enterprise cloud organizations. Includes custom object schemas, webhooks, REST API sync engines, workspaces/partitions governance, and seamless integrations with ON24, Zoom, Cvent, TechTarget, and Salesforce CRM.
// Dual Competency
Grounded in 8+ years of hands-on software development, enterprise architecture, and operational leadership.
// Philosophy & Story
How a software engineering background transforms marketing technology and operations.
My path followed a deliberate progression: Software Engineering → Marketing Technology → Adobe Marketo Architecture → Technical Program Management → Global Marketing Operations → Team Leadership & AI Systems.
Most marketing operations teams struggle with technical debt because traditional marketers do not understand systems code, while pure software engineers rarely understand campaign workflows, MQL lifecycles, or ad routing mechanics.
Because I write code and architect enterprise systems, I own the entire lifecycle: business requirement → marketing process → system architecture → automation → data → integration → execution.
Whether automating hundreds of operational hours at global FinTech scale, stabilizing multi-region lead routing across international cloud platforms, or architecting complex enterprise instances as an Adobe Master Architect, my mission is the same: replace fragile manual toil with deterministic code and scalable intelligence.
Never treat marketing tools as black boxes. Understanding database structures, webhooks, and REST APIs produces robust architectures that do not fail at scale.
If a task is executed more than three times, it should be codified with Python, SQL, or AI agents to achieve faster turnarounds and eliminate human error.
Attribution and analytics must respect strict privacy standards. Innovation comes from creative data engineering without compromising customer PII.
// Let's Connect
Interested in discussing MarTech leadership, Technical Program Management, or AI automation? Reach out directly.
I am based in Bengaluru, India (UTC+5:30) and actively connect with global leaders across marketing technology, AdOps, and engineering.