AI Product Owner transitioning into Product Management, specializing in Generative AI and ML products with proven business impact. Experience spans fast-moving startups (0→1) and enterprise aviation (1→100), with end-to-end ownership from roadmap and UI/UX to deployment and adoption.
Get to know me better
AI Product Owner transitioning into Product Management, specializing in Generative AI and ML products with proven business impact. Experience spans fast-moving startups (0→1) and enterprise aviation (1→100), with end-to-end ownership from roadmap and UI/UX to deployment and adoption. Passionate about translating complex AI capabilities into measurable business value.
My journey spans the full startup-to-enterprise spectrum: launching consumer AI apps with 1,000+ daily active users at Appyhigh, scaling ML infrastructure across 15+ applications reaching 3.5M users, and now bringing that 0→1 velocity to enterprise-scale challenges in aviation supply chain. I've led end-to-end development of Gen AI solutions that deliver tangible business impact.
Scale of my projects spans from building intelligent routing platforms that reduce organizational LLM costs to creating enterprise-grade monitoring systems that orchestrate complex multi-agent workflows for real-time insights and brand visibility tracking.
I thrive at the intersection of technical depth and product strategy, whether that's architecting multi-agent systems, designing intuitive user experiences, or translating complex AI capabilities into business outcomes that executives care about.
I'm passionate about the next wave of AI products - not incremental features, but transformative experiences that feel magical yet deliver concrete ROI. Currently exploring opportunities in AI Product Management, venture-backed startups, and strategic consulting roles where I can leverage both my technical chops and product instincts.
My career journey and achievements
Leading advanced analytics and machine learning initiatives for aerospace data systems. Developing predictive models and AI solutions for complex engineering challenges.
Completed comprehensive graduate program focusing on advanced statistical methods, machine learning, and data engineering. Specialized in generative AI and neural networks.
Developed and implemented AI solutions for flavor and food technology applications. Worked on machine learning models for taste prediction and food recommendation systems.
Developed and deployed machine learning models for mobile applications, focusing on user behavior analysis and recommendation systems. Led AI product development initiatives.
Researched and developed Indian Sign Language translation models using computer vision and NLP techniques. Contributed to accessibility solutions for the deaf community.
Completed undergraduate degree in Computer Engineering with focus on software development, algorithms, and computer systems. Built foundation for AI and machine learning career.
Some of my recent work
Developed comprehensive data analytics solutions for enterprise storage systems, implementing advanced ML models for performance optimization and predictive analytics.
Built advanced meta-analysis tools using statistical modeling and machine learning to synthesize research findings and generate insights from large-scale datasets.
Developed fine-tuned language models for generating creative and effective marketing slogans, utilizing advanced NLP techniques and prompt engineering.
Created an intelligent content generation system using RAG architecture and agentic AI frameworks to produce engaging social media posts and marketing content.
Built an advanced AI-powered talent matching platform for corporate training. Processes 2000+ profiles using sophisticated RAG architecture, semantic search, and intelligent scoring algorithms to match profiles with training requirements.
Oct 2025 – Present | Personal Research Project
Developed LLM routing platform optimizing cost, complexity, and capacity across providers via DistilBERT decision engine (ONNX). Integrated monitoring (Grafana/Prometheus) and built production API reducing organizational LLM costs 40-60% while maintaining output quality.
Oct 2025 – Present | Personal Research Project
Built enterprise-grade traffic monitoring system with a Visibility Score replicating ChatGPT's web search capabilities with dynamic AI traffic analysis (AEO / GEO) and brand visibility tracking. Developed MCP server orchestrating 30+ Custom SEO APIs via LangGraph multi-agent architecture. Designed agentic chatbot for automated audits, web issue detection, and data-driven insights with intelligent tool routing using DeepAgents. Delivered conversational reporting interface for real-time marketing intelligence.
Let's collaborate and create something amazing
Seattle, WA
University of Washington