# N P. > AI Lead @Google - Architect & Deploy Agentic Systems for Enterprise | Product & Growth, Multimodal AI & Computer Vision, GTM Strategist | Startup Advisor, Fractional CTPO, Enterprise AI Consultant & Architect Location: San Francisco Bay Area, United States Profile: https://flows.cv/np Lead AI Architect , AI Consultant , Fractional CTO, Tech Board Advisor, Tech Speaker & Mentor AI Adoption & Strategy, Multi-Agent AI Systems, building and training large-scale multimodal models and systems, Computer Vision, Multimodality, Robotics and Intelligent Automation for Physical AI, Enterprise Softwares, B2B in a fast- support organizations and technological betterment of humanity by adding intrinsic values to it. Partnering with world-class product and engineering orgs/corps to shape AI product strategy, scale execution, and deliver impact across the AI stack - compute (TPUs), models (Gemini), frameworks and compilers (TensorFlow, JAX), data platforms, and Cloud applications (Vertex AI, AgentSpace). Expertise & Areas of Interests - Agentic AI & Policy Robotics & Physical AI AI Product & Project development / management, Growth and Scale Machine Learning, Multimodality & Computer Vision Technical Collaboration for Open Source projects Community Building, Developer Advocacy & Relations Startup Entrepreneurship Product Launch & Strategy from 0->1 Go To Market Strategy B2B | B2C SAAS Deep Tech Scalable Software applications with automation, strategy and growth Quantum Computing FinTech & Portfolio Management Private Equity Venture Capital Business development Speaking & Writing: Keynotes, panels, and insights on AI strategy, innovation, and responsible adoption FCTPO, Advisory & Boards, Startup advisor, Early-stage investor, and open to board opportunities where AI, Product and strategy expertise can accelerate growth ## Work Experience ### Lead | Agentic AI @ Google Jan 2023 – Present Led end-to-end (0→1) development of AI/Agent platforms, multimodal agents with agent evaluation and model improvement..translating advanced ML capabilities (LLMs, RAG, agent workflows, context windows) into scalable products from ideation to launch. ### of agents shipped, latency, MAUs, partner adoption, revenue/efficiency impact, LLM/VLM models, tools and reasoning. intersection of modeling, data, systems, and evaluation that enable building agents to complete multimodal work end-to-end. Vision-language model training with large-scale data pipelines. Drove rapid prototyping and productization using AI coding assistants and API-driven architectures, with strong hands-on fluency in multi-agentic systems, edge AI, and developer tooling. Led AI projects in cross-functional teams for enterprise AI adoption, deploy AI driven solutions, Products & Platforms with Large Language Models, building and training large-scale multimodal models and systems, Assistive search, AI-powered experience, Large Vision Models - AI Adoption, Innovation and Policy Alignment - Multimodal context and response planning towards building LLMs. - Diverse ML model deployment and Integrated Generative AI Solutions for partners in various fields: Retail, Enterprise Software, Health, Consumer Market, Hardware - Organize talks, workshops, trainings, hackathons, collaborations - key technologies : Vertex AI, Gemini, Kubernetes, BigQuery ### Staff AI @ Google Jan 2020 – Jan 2023 | United States - Technical leadership and Enterprise AI adoption Strategy for architecting software infrastructure and scalable distributed systems using NLP, LLMOPs, LLM fine tuning, RAG - Scalable AI solutions for Pixel Devices and Platforms with inference cost reductions, quality lift, implementing security/compliance ### Advisory Board Member @ NeuraVia Research Inc. Jan 2025 – Present Oversee Research, development and partnerships ### Advisory Board Member @ Doxa Kayscie Jan 2024 – Present AI Product Strategy - Intelligent Automation, Agentic Workflow, B2B & D2C Tools,Products, Platforms, Fintech, Analytics, Go To market Strategy, Strategic Partnership Strategic Business development + Customer relation management GTM/product - pipeline influenced, launch metrics, activation/retention ### Co Author @ https://erikseversen.com/ Jan 2025 – Jan 2025 Title - The AI Universe: Thriving Within Civilization's Next Big Disruption ISBN - 13 (Paperback): 978-1968318178 Chapter - A road to Agency : From Multimodality to Superintelligence ### Sr. Developer Computer Vision and ML @ iRobot Jan 2019 – Jan 2020 State-of-the-art probabilistic models reinforcement & transfer learning software architecture for consumer robotics, deploying across 5+ robotic models, reducing latency and training time by 17%, and improving object detection by 26% across 3M+ users & 500K robots. Led a cross-functional ML team of Engineers, PM and data scientists evaluating 15+ algorithms, shipping NLP-powered robot software quarterly, and delivering performance gains & 15% user engagement lift with a new benchmark in production-grade consumer AI connected with Cloud and mobile app at scale. ### Computer Vision Research @ Technical Consulting & Research, Inc. Jan 2019 – Jan 2019 Scalable face recognition software system leveraging GANs, deep multi-classification & DL frameworks achieving automated deployment for 20+ clients, precision-grade accuracy gains and real-time fraud prevention that outperformed conventional biometric detection benchmarks by 2x. ### Product Design & Development @ Esensors Jan 2019 – Jan 2019 Designed and launched Red Tulip network sensor and a cloud-connected IoT platform automating elderly safety monitoring through ML-driven anomaly detection, multi-stage alert automation & real-time sensor fusion across 6+ device types. Engineering wireless sensor networks, cloud-based anomaly detection & automated multi-stage caregiver alert pipelines. Took product from 0→1 and engineered a scalable $$/month SaaS rental model targeting 3M+ elderly living alone in the US. ### Research And Development @ Integrated medical Research lab Jan 2016 – Jan 2019 State-of-the-art predictive computational models combined with advanced next-gen medical device intelligence implantable wearable neurotransmitter devices to simulate and analyze real-time neurotransmitting signal patterns for medical analysis and clinical diagnostics, bridging IoT. ### Product Development @ Unknown Jan 2015 – Jan 2016 Autonomous Product, software & computer vision systems from 0→1 designing, automating & scaling end-to-end platforms and delivered CV-powered automation across 5+ products such as Drones, Electric gliders, Haptic Robotic Arm for multi-domain builders bridging design, growth & intelligent system ### Computer Vision Software @ Zenn Systems Private Limited Jan 2011 – Jan 2015 Architected and deployed 4+ autonomous robotic systems including end-to-end real-time vision navigation software for a Pan-Tilt-Zoom robotic system integration, Aqua Robot, Snake Bot & Autonomous Assembly by integrating Machine learning, Computer Vision, and full H/W & S/W architecture. Generated $500K+ in revenue with cost-efficiency and 3x scalability in real-time object recognition accuracy across real-world multi-environment deployments. ### Research Associate @ Xaar Jan 2013 – Jan 2014 Applied R&D in inkjet computer vision across 3+ printhead platforms and 8+ ink formulations. Engineered imaging algorithms that improved diagnostic accuracy, cut system failure rates by 30%, and drove data-driven decisions across 5+ cross-functional applied science projects. ## Education ### MIT Professional Education ## Contact & Social - LinkedIn: https://linkedin.com/in/npcodes --- Source: https://flows.cv/np JSON Resume: https://flows.cv/np/resume.json Last updated: 2026-04-13