About Me
Microsoft MVP (AI) and Senior Data Analyst at Ernst & Young - building agentic AI systems, delivering hands-on Azure AI solutions, and mentoring developers globally.
At EY, I develop data-driven pipelines, BI dashboards, and AI solutions for enterprise clients, integrating cloud-native AI services and agentic frameworks to solve real-world challenges.
I thrive at the intersection of technology, innovation, and education, democratizing AI through open-source projects, tutorials, and applied solutions.
What I'm Building Toward
The engineering problems I find most interesting sit at the boundary between "agentic AI that works in a demo" and "agentic AI that holds up in production" - reliability under real load, failure modes that are observable rather than silent, and cost tradeoffs that are understood before infrastructure is provisioned rather than after the bill arrives.
I'm drawn to work where deep technical ownership and community contribution both matter - building something real while helping others understand how it works.
Currently Exploring
Agent reliability patterns at scale
What graceful failure looks like vs silent failure in multi-agent systems, and where shared agent context becomes a bottleneck under real load.
Systematic LLMOps evaluation
Moving beyond manual output review toward measurable quality frameworks using RAGAS, DeepEval, and custom eval pipelines.
Cost reasoning in agentic architectures
Understanding the real FinOps tradeoffs of token consumption and tool-call overhead at the architecture decision stage, before infrastructure is provisioned.
Key Achievements
Microsoft MVP (AI)
Awarded May 2025 - one of 33 engineers recognised globally with the Microsoft Foundry specialisation. The AI category is among the most selective within the global MVP programme. One of 3 MVPs in India recognised specifically for Artificial Intelligence contributions.
Imagine Cup 2026 Judge
Selected as judge for Microsoft's premier global student innovation competition
EY Emerging Extraordinaire Award
Selected as one of a small number of analysts recognised organisation-wide for exceptional performance in the first year of full-time employment.
Global Outreach
19+ technical articles with ~101.2K+ views on Microsoft Tech Community
Professional Experience
Senior Data Analyst
Ernst & Young (EY)
- ▸ Designed and shipped a real-time CRM analytics layer on Microsoft Power Apps and Dataverse, giving client teams on-demand visibility into operational data that previously required manual reporting cycles
- ▸ Built data pipeline APIs in JavaScript/jQuery connecting CRM Dataverse to downstream BI dashboards, reducing the time to surface client insights from days to minutes
- ▸ Partnered with product and platform teams to deliver AI and data solutions across multiple EY engagements, translating technical architecture into business-facing outcomes for enterprise clients
🏆 EY Emerging Extraordinaire Award - 2025
Selected as one of a small number of analysts recognised organisation-wide for exceptional performance, technical innovation, and measurable contribution to client outcomes. Awarded in the first year of full-time employment at Ernst & Young.
Data Analyst Intern
Ernst & Young (EY)
- ▸ Built synthetic time-series pipelines using Synthetify, improving model reliability by 40%
- ▸ Developed a Questro-based chatbot for contextual document insights, accelerating analysis by ~90%
Data Analyst Intern
Ernst & Young (EY)
- ▸ Improved solar energy forecasting accuracy by 30% using ML models on weather data
- ▸ Optimized grid integration and resource allocation, supporting renewable energy adoption
Certifications
Azure AI Fundamentals (AI-900)
Microsoft Certified
AWS Certified Cloud Practitioner
Amazon Web Services
Academic Background
B.Tech in Computer Science
The NorthCap University, Gurugram
Specialization: Artificial Intelligence & Machine Learning
Class 12th (CBSE)
St. Xavier's Sr. Sec School, Haryana
Class 10th (CBSE)
St. Xavier's Sr. Sec School, Haryana