Kapil Sharma

About Kapil Sharma

I build enterprise data & AI products that turn complex engineering datasets into reliable business outcomes. I lead cross-functional teams to ship developer platforms, domain LLM experiences, RAG pipelines and autonomous Agents - with a product-first focus on customer value, time-to-market, cost, data requirements and end-user UX.Practically: I’ve led developer and enterprise platforms at Microsoft, built commercial ML solutions for building & energy at Honeywell, and currently run DS365.ai and Foundational AI product portfolio at Halliburton (LLMs, RAG, Agents for operational workflows).I write about product-first AI: when to prototype zero-shot, when RAG is the right tradeoff, and when fine-tuning actually moves the needle. Follow for operational frameworks, real case studies, and decision checklists PMs and tech leaders can use tomorrow.

Experience

1. Senior Manager of Product Management, Gen Ai, Agents, Ml and Data

   Halliburton

   Jun 2023 — Present · Houston, TX, US

   Launched the industry’s first autonomous multi-agent AI solution for drilling risk calculations, reducing operational risk by 90% and cutting workflow time by 99% compared to manual processes for a lighthouse customer.I own the DS365.ai product portfolio, delivering AI-driven solutions for energy with measurable improvements in operational efficiency.Standardized the enterprise adoption of Generative AI (LLMs, RAG) by designing user-centric, ChatGPT-like interfaces that accelerate data discovery and decision-making for engineers and domain experts.Pioneered the deployment of AI Agents within Landmark, enabling automation of complex workflows, reducing manual effort, and supporting autonomous decision-making at scale.Partner with engineering, domain SMEs, and enterprise customers to ensure AI products balance cost, data governance, and usability, driving faster ROI and trusted adoption. Built and led a cross-functional Product Incubation Group focused on GenAI and agent-based capabilities, fostering deep collaboration across product managers, architects, and data scientists to break down silos and accelerate innovation.

Education

• W. P. Carey School of Business – Arizona State University

  MBA, Marketing

  2008 — 2010

• Netaji Subhas Institute of Technology

  Bachelor of Science - Engineering, Electronics and Communications

Skills

• Siebel
• Vba
• Data Analysis
• Jmp
• Six Sigma
• Saas
• Pre-Sales
• Software Development
• Business Planning
• Monte Carlo Modeling
• R
• Opportunity Analysis
• Pricing
• Business Case
• Product Lifecycle Management
• SEO
• Business Analysis
• Product Strategies
• Product Management
• Customer Interaction
• Forecasting
• Go-to-Market Strategy
• Product Marketing
• Strategy
• Competitive Analysis
• Microsoft Excel
• Telecommunications
• Product Development
• B2b Marketing
• Statistical Data Analysis
• Sdlc