LAVANYA CHARY
I build AI-powered enterprise platforms and products that drive measurable business outcomes. My approach: identify high-impact problems first, determine where AI creates genuine value, then work with cross-functional teams to execute a roadmap aligned to strategic goals.
Led AI automation rollout for Sales and Marketing, shifting rep time from admin to revenue.
Redesigned Lead-to-Quote workflows to accelerate SaaS conversions, renewals, and expansion.
Launched enterprise Lead-to-Quote platform for global GTM users in 5 months with <2% error rate.
Launched Needs Analysis module on MetLife's Global Sales Platform, replacing manual workflows.
Led mobile app portfolio across 7 regions, simplifying policy, claims, and payment management.
I build to learn. These projects let me go hands-on with agentic workflows, RAG, and prompt engineering so I can better evaluate what's possible when scoping AI features at work.
Competitor tracking is slow and stale before it's useful. This agent reads company names from a Google Sheet, researches each one, processes findings through two LLM stages (research → analysis), and emails you a formatted executive report.
Golf rules are notoriously complex and getting them wrong costs strokes. This chatbot gives clear answers grounded in rules, not AI hallucinations. Uses RAG to retrieve actual rule text before responding, so every answer cites its source.
Writing LinkedIn posts is tedious. This tool drafts posts tailored to your audience, whether you're speaking to engineers, marketers, or founders. Input a topic, pick your audience, get a post ready to tweak and publish.
Not everyone has time to read. This tool turns any topic into a listenable audio brief; researched, summarized, and narrated. Every summary runs through an eval check before delivery to catch low-quality outputs before they reach the user.
Customer feedback is scattered across surveys, tickets, and reviews. This tool pulls it all together, categorizes issues, detects sentiment, and surfaces what matters most so PMs know exactly where to focus without the manual grind.
Applying blind wastes time and energy. This app scores your resume against any job description, highlights exactly where you fall short, and gives you an honest assessment: apply now, fix your gaps first, or move on to a better fit.
My work lives in the gap between technical possibility and business outcomes. I've spent my career solving complex product problems in finance, insurance, and enterprise software, domains where poor decisions carry real cost. Coming from a developer background, I think in systems and tradeoffs. But I stay focused on what matters: delivering products that solve real problems and create tangible value.
I've become deeply focused on AI because it's changing how product decisions get made. It compresses validation cycles, surfaces customer insights at scale, and brings more confidence to strategic choices. I've built AI-driven products firsthand to understand what actually works in enterprise contexts. That's where I add the most value, connecting technical capability with business needs to make sure product work translates into meaningful outcomes.
Pursuing AI Product Manager roles where I can own AI product direction in high-stakes enterprise environments. Open to conversations about AI strategy, product execution, and building AI-powered products that drive real outcomes. Remote, Hybrid, or On-site.