Chief Dev Advisor at Microsoft Asia (AI, Data & Cloud Transformation) | Open-Source Contributor (Azure/git-ape, github/awesome-copilot) | ex-AWS, Google | 22+ Years
I work on complex, high-impact problems at the intersection of AI, Data, and large-scale cloud transformation. Helping enterprises modernize platforms, scale AI responsibly, and translate executive intent into production-ready architectures.
Field-tested knowledge from building and leading at Microsoft, AWS, Google, Oracle, and IBM across regulated and mission-critical environments.
LLM evaluation, Agentic apps, MCP servers, GitHub Copilot, Microsoft AI Foundry, RAG architectures, and production AI systems. Active open-source contributor to Azure/git-ape and github/awesome-copilot.
Multi-cloud expertise across Azure, AWS, and GCP. Enterprise migrations, serverless computing, containerization, microservices, and Well-Architected solutions.
75PB+ migrations, PostgreSQL, Oracle, Aurora, DynamoDB, BigQuery, Kafka, Debezium. Performance tuning, schema design, and data platform modernization at scale.
C-Suite engagement, team building, SDLC transformation with AI, executive technology advisory, and translating business goals into production-ready execution plans.
Execution over theory: Architecture that works at scale. AI systems that survive production realities. Cloud transformations grounded in security, cost, and operational constraints.
— The principle behind 22+ years of building and shipping
Industry-recognized credentials and honors earned across Microsoft, AWS, Google, Oracle, and IBM.
Translating deep technical expertise into measurable business impact across enterprises and hyperscalers.
Developing actionable strategies that align technology initiatives with core business objectives. Every investment is architected to drive long-term value.
Moving organizations beyond proof-of-concept by operationalizing AI/ML solutions at enterprise scale. Building robust, reliable systems for real-world deployment.
Moving beyond technical metrics to deliver measurable business impact: revenue growth, operational efficiency, and enhanced market position.
Building and mentoring world-class engineering teams. Fostering innovation, accountability, and excellence to attract and retain top-tier talent.
Translating complex technical concepts into clear business language. Enabling executive teams and boards to make informed, confident decisions.
Forward-looking analysis on emerging AI and cloud trends. Helping organizations anticipate market shifts, mitigate risks, and seize opportunities.
Collaborator on Azure/git-ape (platform engineering framework) and contributor to github/awesome-copilot (31.8K+ stars). Initiated AIDLC — the first AI Development Life Cycle program in India for Microsoft customers.
Enterprise-scale initiatives that moved the needle on business outcomes.
Initiated and led the AIDLC project — integrating AI methodology into the Software Development Life Cycle — the first such initiative in India for Microsoft customers.
Led migration of Amazon's e-commerce tech stack from Oracle to AWS NoSQL, managing massive data volumes with zero downtime.
Designed GenAI-powered chat advisory application for Asset Management Companies.
Rapid-scale serverless infrastructure for stock market IPO listings.
GenAI chatbot to automate routine support tasks and improve team efficiency.
Architected air-gap solution for Indian Financial Services to meet regulatory requirements.
Contributing to the tools and frameworks shaping the developer ecosystem.
Collaborator on Git-Ape — a multi-agent platform engineering framework built on GitHub Copilot that plans, validates, and deploys Azure infrastructure with security gates, cost analysis, and CI/CD integration.
Contributed to the official community-curated collection of custom agents, instructions, skills, hooks, workflows, and plugins to supercharge the GitHub Copilot experience.
Initiated the AI Development Life Cycle (AIDLC) project for Microsoft customers in India — the first program of its kind in the country, integrating AI methodology into the full software development life cycle.
A glimpse into conferences, community events, and the journey so far.
Trusted by technology leaders, engineering executives, and enterprise clients.
I have collaborated closely with Shailesh in my AWS days for Fintech customers; he has deep insights on the AWS platform, ability to leverage the services to address new features, performance and scale with minimal cost. He has a skill to understand customer context and explain technology in ways customer can consume. It was great working with Shailesh in creating customer success through resilient design and implementation.
Shailesh, as a Cloud Database Specialist, was a great asset to my team. He brought solid experience in implementing complex database migrations and was looked upon as a trusted advisor by our customers. He was also a very driven learner, who upskills himself quickly - a big plus in a rapidly evolving tech landscape. Wishing you continued success, Shailesh!
I had the privilege of collaborating with Shailesh on transformative modernization projects, including the xAlt initiative, a pioneering AIF platform. His deep-seated expertise in database architecture and cloud technologies was instrumental. His unique ability to bridge the gap between technical excellence and business acumen was a key differentiator.
Technical deep-dives, case studies, and field notes from working with customers on cloud and database engineering.
A real-world e-commerce case study: one word added to EXPLAIN ANALYZE diagnosed a checkout regression from 50ms to 1.2s that three days of network debugging missed.
Regular technical writings on cloud architecture, database engineering, AI/ML, and enterprise technology on Medium and Dev Genius.
Read on Medium →Technical content and best practices contributed to Google's developer resources on cloud, data, and database topics.
View Profile →Sharing knowledge through official blogs, conferences, and technical communities.
Keynote speaker on cloud architecture and AI/ML solutions at AWS Summit events.
Technical presentations on database optimization, migration strategies, and performance tuning.
Authored multiple official blogs on database management, migration strategies, and cloud best practices.
Regular contributor to seminars, webinars, AWS User Group events, and industry conferences.
Comprehensive guide on capturing database activities for Amazon RDS for MySQL and Amazon Aurora.
Best practices for using Private IP with Cloud SQL: gotchas and troubleshooting techniques.
Always interested in strategic technology discussions, cloud architecture consultations, and AI/ML collaborations.
Let's connect and explore opportunities to drive innovation together. Whether it's enterprise modernization, AI strategy, or scaling cloud platforms — I'm happy to discuss.