

Strategic technology and product leader with 19 years of experience driving enterprise-scale transformation across AI, observability, SRE practices, cloud, automation, and digital platforms. Blend deep architectural expertise with strong commercial and product acumen to build scalable, resilient, and outcome-driven systems.
Experienced in architecting AI-powered platforms that unify ITSM, observability (metrics, logs, traces), automation, and decision intelligence into measurable business value. Strong advocate of SRE principles — SLO/SLI governance, error budgets, reliability engineering, automation safety, and data-driven operational excellence.
As a product-focused executive, lead multi-tenant SaaS platforms from vision to execution — defining roadmap, positioning, competitive strategy, and monetization while ensuring technical depth and execution discipline. Built AI-first systems leveraging RAG, multi-agent orchestration, forecasting, anomaly detection, and automation frameworks with governance controls.
Recognized for bridging business strategy with deep engineering capability — translating complex enterprise challenges into scalable platforms that improve reliability, reduce operational toil, enhance decision velocity, and create long-term competitive advantage.
Led the architecture and execution of three multi-tenant, AI-first platforms spanning marketplace, AIOps, and executive decision intelligence — built from concept to production-grade systems with enterprise positioning.
AtlasAI — Unified AIOps, ITSM, and Observability Platform.
BNSS Intelligence — AI Executive Decision Platform.
Warmpawz — Multi-Service Pet Care Marketplace.
Role: ITOM Platform Engineering Lead, Designation: Manager — Software Engineering,
Team: Platform Engineering, Cross-Platform Solution, & Strategy, Key Responsibilities:
Role: Infrastructure Architect, Team: Platform Engineering, Key Responsibilities:
Role: Infrastructure Architect (Offshore Support & Service Improvement). Position: Manager — Group 4.3. Domain: UNIX Infrastructure (Solaris, AIX, Linux).
Key Responsibilities:
Role: Infrastructure Specialist — Unix Project: Migration of UNIX and Storage Infrastructure — Ericsson, Sweden.
Key Responsibilities:
Role: Technical Consultant — Unix Infrastructure Project: Offshore Support for Multiple Clients (Aditya Birla Group, NIB, Yes Bank, Al-Yusuf, Nilgiris, Gati).
Key Responsibilities:
Role: Customer Support Engineer
Key Responsibilities:
Cloud Computing
GCP Cloud
Compliance management
HIPPA
PCI DSS
Migration
Solution Architecting
Solution Architect
AWS
Artificial Intelligence
TOGAF
POC
Client Relationship Management
Product Demonstration
Sales Enablement
Training Delivery
Monitoring Solutions
Agentic AI
Sales & Solutions
Lead business development initiatives across the region, driving growth through a strong partner ecosystem
Understand client business requirements and analyze the ideal customer profile to deliver comprehensive observability solutions
Manage the full sales lifecycle — including demos, proof of concepts (POCs), quotations, and order closure — consistently generating revenue and expanding the sales pipeline
Champion partner enablement programs to empower partners with the necessary skills and knowledge to successfully market and deploy solutions, establishing strong product presence in the territory
IT Strategy
Collaborate with the CTO office to develop reusable and modular frameworks enabling customers and partners to consume the Micro Focus (MF) product portfolio effectively
Designed innovative Service-Oriented Architecture (SOA) models based on IT4IT principles, integrating multiple products into a single automation framework to deliver seamless end-to-end solutions
IT Infrastructure & Cloud
Proven expertise in Unix infrastructure design and architecture, including solution design, integration, migration, and proactive/reactive maintenance of Unix servers
Skilled in ensuring security, compliance, and governance across IT infrastructure environments
Architected virtualization and hyper-converged systems, along with cloud management and disaster recovery strategies to support resilient infrastructure operations
Experienced AWS Solution Architect skilled in designing and implementing scalable, secure, and reusable architectures leveraging core AWS services including VPC, EC2, CloudFormation, CloudTrail, CloudWatch, Auto Scaling, S3, EBS, and S3 Buckets
Hands-on experience in migration and disaster recovery solutions on AWS, ensuring high availability and business continuity
Architected microservices-based solutions for both cloud-native and on-premises environments, emphasizing scalability, modularity, and reusability
Tools & Methodology
Delivered business outcomes using TOGAF and IT4IT frameworks, focusing on aligning cloud solutions with enterprise goals
Extensive hands-on experience with AWS, Azure, and GCP, covering migration, hybrid cloud strategy, cost optimization, and automation
Led multiple pre-sales solutioning efforts, delivering rapid POCs and API integrations that influenced deal closures
Strong compliance knowledge with real-world implementation of controls aligned to HIPAA, PCI-DSS, and GDPR requirements
Designed and executed disaster recovery (DR), backup, and business continuity strategies across multi-cloud environments
Proven track record in building infrastructure as code (IaC) using Terraform and AWS CloudFormation, with solid automation skills using Ansible, Puppet, and BMC Server & Network Automation
Led hybrid and multi-cloud migration programs, including assessments, roadmap creation, and phased execution plans
Specialized in balancing business agility with regulatory and operational requirements
Business & Solutioning
AI Solution Design — mapping client pain points to agentic AI-powered observability outcomes
Use Case Definition — identifying where agents add measurable value (automation, predictive monitoring, remediation)
Product Evangelism — positioning Agentic AI as a differentiator in sales and partner discussions
Change Management — guiding partners/customers to adopt AI-driven workflows
Value Selling — tying AI capabilities to business KPIs (reduced MTTR, cost savings, improved uptime)
AGENTIC AI CAPABILITIES
Core Technical Skills
Generative AI & LLMs — working knowledge of GPT, Claude, LaMMA, etc
Agent frameworks — LangChain, AutoGen, CrewAI, Semantic Kernel (for building agentic workflows)
RAG (Retrieval-Augmented Generation) — integrating structured/unstructured data into AI agents
Multi-agent orchestration — designing agent ecosystems (planner, executor, evaluator)
AI-driven automation — workflows that act, not just respond (sales assist, observability alerts, remediation)
Integration skills — APIs, SaaS connectors, cloud-native observability & monitoring platforms
Prompt engineering & optimization — for role-specific, task-specific, and autonomous AI interactions
Leadership & Strategic Skills
Cross-functional enablement — training sales, pre-sales, and partners on Agentic AI-powered offerings
Market Intelligence — analyzing competitors’ AI roadmaps and positioning your solution as superior
Go-to-Market Strategy — building AI-centric GTM playbooks for sales and partner ecosystems
AI Ethics & Governance — ensuring responsible AI usage, compliance, and transparency