Vaibhav Gedigeri

About Vaibhav Gedigeri

I am a Technical Product Manager with 9 years of experience who builds 0–1 capabilities & ship AI products that stick. At Spotfire, I took Spotfire Copilot from zero to dozens of Fortune 100 deployments, protecting $XXM+ in at-risk ARR and cutting time-to-insight from days to minutes. My lane: LLMs, agentic systems, RAG, and the product discipline to make them enterprise-readyAt Spotfire (Cloud Software Group), I lead the development of Spotfire Copilot, a conversational AI assistant powered by agentic frameworks, RAG/GraphRAG, and structured code generation. I drive the full lifecycle - technical design, cross-functional alignment, delivery execution, and customer validation.What sets me apart?I have a reputation for building 0–1 capabilities that turn customer friction into renewal, expansion, and competitive advantage. When customers needed faster, more intuitive insights from increasingly complex analytic environments, I saw the opportunity to combine our public APIs with emerging LLMs. I built the first Copilot prototype with a small team and had it in customer hands in six months. Early adopters cut Time-to-Insight from days to minutes; five at-risk accounts renewed for three years, and sales momentum accelerated.I also transform underused features into strategic capabilities. Our Python/R Data Functions were hard to discover and harder to use, driving teams to scattered notebooks and threatening $XXM+ in renewals. I led a UX-driven 0–1 revamp, validated continuously with customers. Usage tripled, time-to-insight surged, and we won major expansionsHow I operateI partner deeply with engineering and data science - leading design reviews, shaping architecture decisions, defining technical requirements, and driving delivery with clarity and execution rigor. I excel at reducing ambiguity, aligning stakeholders, and shipping AI/ML capabilities that work at scale.Technical foundationsHands-on with Python (pytorch), SQL, Docker, CI/CD (Git), Spotfire, Tableau, REST APIs, and cloud technologies - AWS / Azure AI.Previously at Honeywell, I contributed to predictive-maintenance models, filed patents, and advanced product-led AI initiatives. Multiple Impact Awards for driving measurable customer value.

Experience

1. Principal Technical Product Manager

   Spotfire

   Sep 2025 — Present · New York, NY, US

   Owned and shipped the Copilot evals platform, a multi-phase framework with automated checks and LLM-as-judge scoring that became the quality backbone for all Copilot development: 4X release cadence, 50X faster time-to-insight, double-digit precision gains.Also leading the Shared Context Platform, enabling personalized, context-aware AI experiences across Spotfire\'s product surface at enterprise scale with secure data-handling and compliance logic embedded for regulated industries

Education

• Visvesvaraya Technological University

  Bachelor of Engineering (B.E.), Computer Science

• Stevens Institute of Technology

  Master’s Degree, Business Intelligence and Analytics

Skills

• Opencv
• Data Mining
• Python
• C++
• Research
• Postgresql
• R
• Nlp
• Apache Spark
• Sas Programming
• Knime
• Microsoft Excel
• Powerpoint
• Analytics
• C
• Programming
• Microsoft Office
• Project Management
• Mysql
• Windows
• Data Analysis
• Git
• Sas Base
• Deep Le
• Sphinx
• Hadoop
• Computer Vision
• Analysis
• Predictive Analytics
• Sas E-Miner
• Tableau
• Statistical Modeling
• Business Intelligence
• Statistical Data Analysis
• Sql
• Microsoft Project
• Bitbucket
• Multivariate Statistics