Aman Dixit

About Aman Dixit

Product Manager | CSPO® | CSM® | AI-Focused Product Leadership With 7 years of hands-on experience in Product Management and Agile delivery across Telecom, E-commerce, and EdTech sectors, I specialize in building AI-enabled solutions that solve real user problems. I’ve led high-impact projects at companies like Samsung, T-Mobile, and Maven Solutions—driving user engagement, product adoption, and business outcomes. Product Ownership & StrategyOwned end-to-end product lifecycle for AI Chatbots and digital platforms. Defined roadmaps, gathered requirements, prioritized backlogs, and aligned cross-functional teams to deliver outcomes—not just outputs. Agile & Stakeholder ExecutionCertified in CSPO and CSM, I’ve facilitated sprint planning, standups, retrospectives, and UAT sessions. Known for keeping stakeholders informed, teams unblocked, and deliverables moving. AI & Data-Driven MindsetApplied Generative AI and NLP into live chatbot systems. Use tools like SQL and Power BI for product insights. Actively authoring 3 research papers in AI/NLP to drive product innovation with substance. Tools & Technical FluencySkilled with JIRA, Confluence, Figma, Power BI, and collaboration tools. Familiar with React, Python, and modern product stacks—not a developer, but I speak the language. Credentials & EducationCSPO® | CSM® | Google Cloud AI for Product ManagementM.S. in Information Systems Security – University of the Cumberlands (4.0)M.S. in Computer Systems Networking – University of Pittsburgh (3.7)Let’s connect if you’re building bold products with clear vision and execution. https://aman-dixit-ai-product-ma-153690j.gamma.site/#ProductManager #CSPO #CSM #AIProductManagement #Agile #Chatbots #DigitalProducts #NLP #StakeholderManagement

Experience

1. Ai Ml Research Fellow

   Independent Researcher

   Jan 2024 — Present

   Conducting independent research in Natural Language Processing (NLP) and Generative AI, focusing on neural language understanding. • Authoring peer-reviewed research papers, enhancing knowledge in semantic reasoning and aspect-based sentiment analysis. • Exploring limitations of large language models and developing ontology-driven query resolution techniques. • Preparing manuscripts for submission to journals, aligning academic findings with practical AI product applications.

Education

• Purdue University

  Postgraduate Degree, DevOps

• Jaypee University of Engineering and Technology

  Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering

• University of Pittsburgh

  Master's degree, Computer Systems Networking and Telecommunications

• Cisco Networking Academy

  CCNA, Network and System Administration/Administrator

• University of the Cumberlands

  Master of Science - MS, Computer and Information Systems Security/Information Assurance