Resume · 2026
Shivani Vaidya
AI Product Manager
M.S. Computer Science, UC Davis
Santa Clara, CA
shivanivaidyaworkid@gmail.com(206) 295-2163LinkedInGitHub- Product-minded technology professional with 10+ years of experience transforming complex business challenges into scalable AI-powered, cloud-native, and customer-centric products across cybersecurity, SaaS, data platforms, and enterprise technology environments.
- Proven expertise in driving end-to-end product lifecycle management, including product strategy, customer discovery, market research, roadmap development, MVP definition, product launches, and continuous product optimisation.
- Specialised in developing Generative AI, Agentic AI, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), AI Personalisation, Digital Twin, and Intelligent Automation solutions that enhance customer experiences and create measurable business value.
- Strong track record of partnering with founders, executives, engineering, design, and business stakeholders to identify market opportunities, define product vision, prioritise investments, and deliver innovative customer-centric solutions.
- Experienced in leveraging customer insights, user research, journey mapping, experimentation, competitive intelligence, and product analytics to drive data-informed product decisions and accelerate product adoption.
- Led strategic initiatives across AWS, Azure, and Google Cloud ecosystems, enabling enterprise customers to operationalise AI technologies while improving visibility, governance, scalability, and business outcomes.
- Kellogg School of Management Certified Product Management Professional with a unique combination of product strategy expertise, technical depth, business acumen, and hands-on experience building and scaling modern AI-powered products.
AI Product ManagementProduct StrategyProduct DiscoveryProduct Vision & RoadmappingGenerative AI ProductsAgentic AI SolutionsLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)AI PersonalizationCustomer ResearchUser InterviewsDesign ThinkingMVP DefinitionProduct Requirements Documentation (PRDs)Feature PrioritizationAgile Product DeliveryStakeholder ManagementCross-Functional LeadershipData-Driven Decision MakingGo-to-Market Strategy
Programming Languages
PythonGoJavaSQL
AI & Product
LLMsPrompt EngineeringRetrieval-Augmented Generation (RAG)Agentic AI SystemsConversational AIVector DatabasesSemantic Search
Databases & Storage
PostgreSQLCassandraRedisMongoDBSnowflakeHBaseHive
Cloud & Infrastructure
AWSGCPAzureKubernetesDocker
Data & Distributed Systems
KafkaSparkHadoopApache BeamETL PipelinesDistributed Systems
Development & APIs
REST APIsGraphQLgRPCSystem DesignAPI Design
Product & Design Tools
FigmaLovableCursorClaude CodeCodex
University of California, Davis
Master of Science in Computer Science · 2016
Professional Certificate in Product Management
Kellogg School of Management, Northwestern University — Dec 2025
AI Agents and Agentic AI in Python: Powered by Generative AI
Vanderbilt University — 2025
The AI Engineer Course 2025: Complete AI Engineer Bootcamp
Udemy — 2025
Machine Learning
Stanford University — 2025
PM Accelerator
Jyoti Nookula
Agentic AI
Jyoti Nookula
Product Manager
Jun 2025 – Apr 2026- Led end-to-end product strategy, roadmap development, and execution for a voice-first AI coaching platform integrating Conversational AI, Guided Meditation, Journaling, Storytelling, and Personalised Reflection Experiences.
- Defined product vision, customer value proposition, user personas, coaching frameworks, onboarding experiences, and feature prioritisation to create differentiated AI-powered wellness products.
- Conducted customer interviews, user research, behavioural analysis, and product discovery workshops to identify engagement opportunities, retention drivers, and customer pain points.
- Designed AI Coach Personas, Customer Journey Maps, Coaching Workflows, and Personalisation Frameworks to improve user relevance and long-term engagement.
- Authored detailed PRDs, MVP Specifications, User Stories, Acceptance Criteria, and Product Requirements for AI-powered personalisation initiatives.
- Collaborated closely with Founders, Engineering, and Design teams to define AI workflows, memory systems, semantic retrieval architectures, and product strategy.
- Led product discovery for advanced Generative AI, Agentic AI, Contextual Memory, Digital Twin, and Personalised Coaching Systems.
Key Achievements- Introduced Story-Driven Learning Experiences that became one of the most positively received features of the platform.
- Designed the product vision and requirements for a Digital Twin Personalisation Framework leveraging User Memory, Semantic Retrieval, Context Management, and AI Agents.
- Established Persona-Based Coaching Models and tailored user journeys that significantly improved personalisation and coaching relevance.
- Played a key role in bridging Product Strategy, User Needs, AI Architecture, and Engineering Execution.
- CrowdStrike
Cloud Engineer
Feb 2023 – May 2025Data Engineer
Aug 2022 – Feb 2023- Led strategic initiatives supporting Cloud Security, AI Asset Discovery, AI Governance, and Enterprise Cloud Visibility across AWS, Azure, and Google Cloud Platform environments.
- Partnered with Product Managers, Engineering Leaders, Designers, and Security Teams to define requirements, prioritise capabilities, and improve customer-facing platform experiences.
- Designed and developed scalable Cloud Asset Discovery Systems, APIs, Backend Services, and Data Ingestion Pipelines supporting enterprise customers.
- Drove development of capabilities focused on AI Service Discovery, AI Adoption Tracking, AI Governance, and Cloud Security Intelligence.
- Built large-scale distributed systems enabling organisations to discover, monitor, and manage cloud and AI resources.
- Participated in roadmap planning, technical strategy discussions, feature prioritisation, and platform architecture reviews.
Key Achievements- Led development of AI Asset Discovery Capabilities across AWS, Azure, and GCP environments.
- Built dashboards tracking enterprise adoption of Amazon SageMaker, Google Vertex AI, and Azure OpenAI services.
- Developed ingestion frameworks supporting multiple cloud asset categories and enabling new AI-focused platform intelligence.
- Recognised as a key contributor connecting Customer Needs, Product Priorities, Technical Architecture, and Business Objectives.
- Lacework
Senior Member of Technical Staff
Jan 2021 – Jun 2022- Developed Cloud-Native Security Platforms supporting vulnerability intelligence, threat visibility, cloud security analytics, and enterprise risk management.
- Designed scalable Microservices, Data Integrations, and Distributed Systems using Go, Java, Snowflake, Aurora, and AWS Services.
- Collaborated with product and engineering teams to improve Platform Scalability, Customer Experience, Security Intelligence, and Operational Efficiency.
- Participated in architecture discussions focused on Reliability, Performance Optimisation, Scalability, and Platform Evolution.
Key Achievements- Improved performance of complex Snowflake Analytics Workloads through optimisation initiatives.
- Developed Go-based Vulnerability Intelligence Services supporting enterprise security analytics.
- Delivered integrations and reporting systems that enhanced operational visibility and customer insights.
- IO-Tahoe
Java and Big Data Engineer
Dec 2018 – Apr 2020- Developed enterprise-scale Data Governance, Metadata Management, Data Integration, and Analytics Solutions for Fortune 500 organisations.
- Worked directly with enterprise customers to gather requirements, understand business challenges, and translate operational needs into product capabilities.
- Built backend services, APIs, integrations, and distributed processing systems using Java, Kafka, Spark, and HBase.
Key Achievements- Selected as Lead Engineer for multiple Fortune 500 Customer Deployments and mission-critical implementations.
Barclaycard
Hadoop Developer · Wilmington, DE
Jul 2018 – Dec 2018
Developed Hadoop-based solutions to support large-scale data processing and analytics needs. Contributed to enterprise data engineering workflows with a focus on reliability and performance.
Marlabs Inc.
Trainee Programmer Analyst · New Jersey
Jan 2018 – Jun 2018
Supported programming and analysis work across assigned projects and internal technical tasks. Assisted with development, troubleshooting, and documentation under senior team guidance.
Open Networking Foundation (ONF)
Member of Technical Staff · Menlo Park, CA
Mar 2017 – Dec 2017
Contributed to engineering work supporting networking and open-source technology initiatives.
University of California, Davis
Teaching Assistant · Davis, CA
Sep 2015 – Mar 2016
Supported academic instruction, student guidance, and course-related coordination.
AppNexus
Software Engineer · Mountain View, CA
Jun 2015 – Aug 2015
Contributed to software engineering tasks in a fast-paced technology environment.