Sandesh Kc

About Sandesh Kc

I am a Technical Product Manager with experience building and scaling enterprise data and AI platforms across manufacturing and regulated environments. My work focuses on translating complex operational and business problems into reliable, scalable technical solutions that deliver measurable outcomes.At Samsung Semiconductor, I own the product vision and roadmap for data and AI solutions supporting analytics, automation, and decision making across multiple teams. I have led initiatives that reduced manual effort by 80 percent, delivered approximately 1.6 million dollars in annual cost savings, and enabled self service analytics through standardized data pipelines and automation.My background spans product strategy, roadmap ownership, and Agile execution, with hands on experience partnering closely with engineering and data science teams. I am comfortable working across the full product lifecycle, from problem discovery and requirements definition through delivery, adoption, and ongoing optimization.I am particularly interested in Technical Product Manager roles focused on enterprise platforms, data driven products, and AI enabled automation, where strong execution, stakeholder alignment, and business impact matter.Product Management: Roadmaps, PRDs, Agile/Scrum, Backlog Prioritization, Stakeholder Engagement, OKRs, KPIsAI/ML & GenAI: RAG Pipelines, LLMs, LangChain, Agentic AI Systems, OpenAI, AWS Bedrock, SageMaker, TensorFlow, MLOpsAutomation & Infrastructure: n8n Workflow Automation, VMware, CI/CD, Observability (Grafana, Prometheus)Data & Analytics: Python, SQL, PySpark, Tableau, Spotfire, Power BI, BigQuery, Oracle Autonomous DBQuality & Compliance: QA Validation, System Testing, FDA Submissions, Risk & Compliance AlignmentCollaboration Tools: JIRA, Confluence, GitLab, SharePoint, Figma, Notion

Experience

1. Technical Product Manager - Data Solutions

   Samsung Semiconductor

   Sep 2022 — Present · Austin, TX, US

   Defined and executed the roadmap for a data intelligence product supporting 6+ enterprise teams; integrated predictive analytics and automation to reduce manual effort by 80%.• Led end-to-end development of an AI-powered image-to-data service that automated images and pdf parsing and structured data conversion, eliminating manual reporting for 30+ analysts and saving 12+ hours/week each.• Developing a RAG-based LLM data pipeline to synthesize insights from 100+ technical documents to accelerate root cause analysis. • Deployed Grafana dashboards to visualize KPIs (latency, adoption, DAUs); insights from usage data drove backlog reprioritization and improved user engagement by 40%.• Conducted user interviews and analyzed usage data to uncover analyst pain points, validate feature hypotheses, and guide roadmap decisions.• Prioritized features using RICE and Kano models, aligned cross-functional stakeholders, authored PRDs and process maps to drive scope control, and led Agile delivery by writing 150+ user stories and facilitating sprint ceremonies.• Recognized by executive leadership for delivering innovative AI products, including Gen AI and ML integrations.

Education

• The University of Texas at Arlington

  Bachelor of Science - BS, Mechanical Engineering

• The University of Texas at Arlington

  Master of Business Administration - MBA, Information Technology

  2024

• The University of Texas at Austin

  Postgraduate Degree, Artificial Intelligence

  2025