Headline

PMP® Certified Project Manager - Automation, Agentic AI & Intelligent Automation | Data governance and EDM | AI enabled Data Transformation and Decision Intelligence | Business × Data × AI | Data Architecture

About

I sit at the intersection of business, data, and technology—where complexity is high and clarity is rare. My strength lies in turning messy information, fragmented systems, and vague requirements into structured, scalable solutions that decision-makers can trust. I don’t just build models or workflows—I design systems of thinking that help teams move faster, make better decisions, and reduce ambiguity. With deep experience across Machine Learning,Analytics, BI platforms, data engineering, and emerging AI/GenAI capabilities, I bridge the gap between technical teams and business stakeholders. I translate data into insight, insight into strategy, and strategy into execution. What differentiates me is a teacher–builder mindset. I believe clarity compounds. Whether it’s designing executive dashboards, defining governance models, creating learning frameworks, or architecting AI-driven solutions, I focus on outcomes that scale beyond a single project. I am driven by one core idea: If something is complex, it can be structured. If it is structured, it can be improved.

Location

New Delhi

AI stack

claude code

claude

gemini

grok

hermes agent

hugging face

Work experience

Manager at Anaptyss, Aug 2025 - Present · 1 yr 2 mos, Gurugram, Haryana, India, •Serving as Manager in digital services for the entire suite of Business Intelligence tools, including Power BI, Tableau, Qlik, and SAP BusinessObjects •Led the Business Intelligence Center of Excellence, establishing standards for development, migration, best practices, training, and feature adoption •Designed and implemented a platform governance framework covering automated audits, cybersecurity oversight, access management, and performance optimization •Founded a unified BI and Analytics community to foster collaboration across user groups, offering personalized support, office hours, and premium development assistance •Provided strategic consulting on Microsoft Power Platform solutions, building Power Automate flows for automated report delivery, data-driven alerts, and API integrations •Streamlined intake and workflow processes to enhance data quality and reduce manual effort •Introduced enterprise-wide value realization tracking and data asset certification, enabling transparent reporting on risk reduction, revenue growth, cost efficiency, and operational improvements •Developed a user-focused dashboard harmonization pipeline for executive reporting under Enterprise Data and Analytics •Directed the evaluation and decommissioning of legacy BI platforms

Program Manager | Data Science and Gen AI at Capital Numbers, Jan 2025 - Jul 2025 · 6 mo, Gurugram, Haryana, India, •Led architecture and delivery of the GenAI platform, building an enterprise-grade Retrieval-Augmented Generation (RAG) system to unify and intelligence-enable aftersales, diagnostics, service manuals, and training knowledge for a global automotive client. •Owned GenAI solution architecture and program execution, spanning use-case definition, system design, roadmap planning, and cross-team delivery governance across AI, data, and platform engineering teams. Designed the end-to-end RAG architecture, including: •LLMs for response generation and reasoning •Embedding models for semantic search and contextual retrieval •Vector databases for scalable, low-latency knowledge indexing •Document ingestion pipelines (chunking, metadata enrichment, versioning) •Retrieval strategies (similarity search, hybrid retrieval, reranking) •LLM orchestration using LangChain / LangGraph for multi-step workflows and agentic patterns •Acted as the primary interface between business stakeholders, AI engineers, data engineers, and product teams, translating after-sales and service requirements into production-ready GenAI workflows. •Led POC-to-production lifecycle, validating accuracy, grounding, latency, and hallucination reduction before scaling to enterprise deployment. •Defined product-level requirements around security, access control, evaluation metrics, and future extensibility into AI agents and voice-based interfaces. •Contributed to GenAI strategic solutioning, supporting architecture walkthroughs, technical documentation, estimations, and roadmap alignment for automotive GenAI initiatives. Key Outcomes: •Delivered a scalable RAG-based knowledge platform using LLMs, embeddings, and vector DBs •Improved response accuracy and trust through grounded retrieval and orchestration •Enabled faster service resolution via context-aware GenAI insights •Established a reusable GenAI architecture blueprint for future AI products

Technical Manager | AI and ML at Vinove Software and Services, Sep 2024 - Dec 2024 · 4 mos, Noida, Uttar Pradesh, India, •Led end-to-end delivery of Generative AI, Agentic AI, and Computer Vision solutions, owning technical strategy, execution, and client-facing leadership across multiple enterprise engagements. •Designed and developed Agentic AI platforms and AI voice agents tailored to specific business products and workflows, enabling intelligent automation, conversational experiences, and task orchestration. •Drove multiple GenAI project deliveries from ideation to production, translating business use cases into scalable AI architectures, models, and deployment pipelines. •Acted as AI lead for presales engagements, owning solution design, end-to-end technical requirements, architecture blueprints, effort estimation, and feasibility analysis for client proposals. •Led and contributed hands-on to Computer Vision initiatives as both technical lead and developer, delivering use cases such as image analysis, detection, and automation-driven insights. •Built and demonstrated multiple Proof of Concepts (POCs) aligned to client requirements, enabling rapid validation of AI feasibility and accelerating deal closures. •Collaborated closely with product, engineering, and leadership teams to ensure on-time delivery, technical quality, and business alignment across AI programs. Key Outcomes: •Delivered production-grade GenAI and Agentic AI solutions across multiple client projects •Accelerated presales success through strong technical storytelling and POC-driven validation •Established capability in AI voice agents, Agentic workflows, and Computer Vision •Improved delivery confidence through clear architecture, estimates, and execution governance

Technical Manager | Data Science and AI at APCO Holdings, LLC, Jul 2023 - Sep 2024 · 1 yr 3 mos, Gurugram, Haryana, India, •Owned delivery of a data-driven M&A due diligence program for an insurance portfolio, coordinating analytics, engineering, and business teams to assess financial risk, operational readiness, and integration feasibility. •Led planning and execution of claims and contract analytics, defining technical requirements around claim status flows (authorized, denied, overridden), exception handling, and contract lifecycle events to surface acquisition-related risk and liability. •Acted as the primary interface between business stakeholders (finance, underwriting, operations) and technical teams (data engineers, BI developers), translating M&A objectives into scalable data models, KPIs, and reporting pipelines. •Oversaw development of SQL-based datasets and Power BI/Tableau dashboards, ensuring data quality, reconciliation across billing, cancellation, and earned premium records, and consistent metric definitions across teams. •Managed agent- and product-level performance programs, enabling leadership to identify high-value assets, loss drivers, and restructuring opportunities for post-merger integration. •Established program governance, delivery milestones, and reporting standards, accelerating due diligence timelines while maintaining auditability and executive confidence. •Reviewed participation and incentive programs from a technical and financial lens to assess revenue impact and alignment with long-term profitability. Key Outcomes: •Enabled confident go/no-go M&A decisions through reliable, production-grade analytics •Reduced post-merger risk by exposing loss, cancellation, and data-integration gaps early •Delivered a single, trusted analytics layer for executives and deal teams •Improved delivery speed through structured program management and technical alignment

Manager | PMO (Global Ops.) | Program Managment at Safewell, Jan 2022 - Dec 2022 · 11 mo, Delhi, India

Operations Manager at Gautam engineers limited, Jun 2018 - Jan 2021 · 2 y 7 mo, Delhi

Assistant Manager at Capgemini India, Mar 2017 - May 2018 · 1 y 2 mo, Delhi

Education

Artificial Intelligence, Indian Institute of Technology, Roorkee

Project Management, Indian Institute of Technology, Roorkee

Public links

youtube.com: https://youtube.com/@https://youtube.com/@analytics_academy_?si=bxi93LAPiUG588v0