📍 New Delhi, India
💼 LinkedIn

I work at the intersection of business, data, and technology, helping organizations turn complex requirements, fragmented data, and emerging AI capabilities into scalable enterprise solutions.

With 11+ years of experience across AI/ML, Generative AI, Data & Business Intelligence, solution architecture, program management, product management, and digital transformation, my focus is on connecting strategy with execution.

I have worked across AI/GenAI solution delivery, enterprise analytics, BI governance, data transformation, cloud platforms, automation, and stakeholder-led technology initiatives.

My core strengths include:

• AI & GenAI: LLMs, RAG, Agentic AI, AI solution design, evaluation, AI use-case strategy
• AI Architecture: Solution architecture, system design, data flows, API integration, cloud-native delivery
• Program & Product Management: Roadmaps, requirements, delivery governance, stakeholder management, cross-functional leadership
• AI & Data Governance: AI governance, BI governance, access management, controls, auditability, data quality
• Data & BI: Power BI, Tableau, SQL, DAX, data analytics, reporting transformation
• Cloud & Engineering: AWS, Azure, GCP, Vertex AI, Python, APIs, automation

I approach AI initiatives from an enterprise value perspective:

Business problem → Solution fitment → Architecture → Delivery → Governance → Adoption → Measurable value

• GenAI strategy and enterprise use-case assessment
• RAG architectures and knowledge systems
• Agentic AI and multi-step AI workflows
• LLM evaluation, cost and token economics
• AI-assisted decision intelligence
• AI governance and human-in-the-loop controls

• Enterprise BI strategy and modernization
• Power BI, Tableau and analytics platforms
• BI governance and operating models
• Access, licensing and workspace governance
• Reporting automation and adoption
• Data quality, certification and value realization

• Technical program management
• Product strategy and roadmap development
• Cross-functional delivery leadership
• Requirements and solution fitment
• Architecture and feasibility assessment
• Presales and proposal support
• Stakeholder and executive communication

Exploring an AI-native approach to transaction monitoring and financial crime investigation using:

Synthetic Data → Deterministic Rules → Risk Signals → AI-Assisted Investigation → Autonomous L1 Disposition → Auditability

Key themes include counterparty intelligence, behavioural anomaly analysis, rule-engine mapping, AI decisioning, token costing, synthetic data generation and human escalation controls.

Designing practical enterprise patterns for:

• Retrieval-Augmented Generation
• Vector search and embeddings
• Knowledge retrieval
• LLM evaluation
• Agent orchestration
• Cost and performance optimization

Building governance-oriented approaches across:

• Power BI
• Tableau
• Microsoft Fabric
• Data access and licensing
• Workspace governance
• Automation
• Data quality and certification

AI / ML
Python · Machine Learning · NLP · Computer Vision · LLMs · RAG · Agentic AI · LangChain · LangGraph · Vertex AI

Data / BI
Power BI · Tableau · SQL · DAX · Power Query · Data Analytics · Data Governance

Cloud
AWS · Microsoft Azure · Google Cloud Platform · Vertex AI

Engineering / Delivery
APIs · Automation · Git · GitHub · Agile · Program Management · Product Management · Solution Architecture

• Artificial Intelligence Program — IIT Roorkee
• Project Management Program — IIT Roorkee
• Postgraduate Program in AI & ML — Texas McCombs School of Business
• M.Tech, Design Engineering — Centurion University
• B.Tech, Mechanical Engineering — Techno India University

• PMP — Project Management Institute
• AWS Certified Solutions Architect
• AWS Generative AI Essentials
• Microsoft Power BI Data Analyst Associate
• Tableau Certified Consultant
• Salesforce Certified AI Specialist
• 30+ certifications across AI, ML, BI, cloud and project/program management

I mentor professionals and postgraduate learners in AI/ML, analytics and technology careers, and create practical learning content around:

• AI & Generative AI
• Data Analytics & BI
• AI architecture
• AI governance
• Program & product management

AI & Technology Leadership
Leading AI/GenAI, data and technology initiatives from discovery and solution design through delivery and adoption.

Enterprise BI & Data Governance
Driving governance, automation, platform management, standards and value realization across enterprise analytics environments.

AI Presales & Solutioning
Translating business requirements into technical solution approaches, architecture options, estimates, feasibility assessments and POCs.

Business + Technology
Connecting technical decisions with business outcomes, operational efficiency, risk reduction and measurable value.

I’m interested in building and leading AI, GenAI, Data & Analytics, and digital transformation initiatives where technology needs to create measurable business value.

💼 LinkedIn