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# Naina Kalkunte

**Headline:** AI PM Consultant | Ex-Tesla, SCE & PG&E | Passionate About Building Authentic Connections Through Empathy
**Profession:** Program Manager Consultant
**Location:** San Francisco Bay Area

## About

Naina Kalkunte is an AI product, program, and strategy consultant currently serving as a Program Manager Consultant at Amplytico. With more than eight years of experience across AI, energy, utilities, autonomous systems, climate technology, finance, and healthcare, Naina translates emerging technology into practical business solutions and measurable operational impact. Her strengths include AI strategy, product management, portfolio governance, process improvement, dashboard development, workflow optimization, stakeholder partnership, and customer-focused adoption. Naina has led AI initiatives supporting Tesla Autopilot and Full Self-Driving, modernized Southern California Edison’s FAIR facility-risk platform, and supported PG&E’s AI adoption and executive decision-making across approximately $1.8 billion in annual capital investments. At SCE, her data-driven modernization work reduced manual processing by 40% and improved operational efficiency by approximately 30%. She has also led decarbonization strategy work across energy, transportation, and agriculture at Energy Solutions and co-authored a 2024 ACEEE Summer Study Paper on energy efficiency in buildings. Naina is pursuing opportunities that apply her program-management foundation to AI customer success, helping organizations build trust, identify high-value opportunities, realize value, and drive adoption.

## Services

- Artificial Intelligence \(AI\)
- AI in Infrastructure and Construction Projects
- Generative AI
- AI for Good
- Climate AI
- Prompt Engineering
- Environmental Consulting
- Environmental Sustainability
- Decarbonization
- Clean Energy Technologies
- Corporate Social Responsibility
- Environmental Awareness
- Sustainability Education
- Environment
- Empathy Mapping
- Continuing Education
- Education for Sustainability
- Rewilding
- Finance
- Financial Advisory
- Medical Technology
- Healthcare
- Animal Welfare

## Highlights

- Serves as a Program Manager Consultant at Amplytico.
- Brings more than eight years of experience across AI, energy, utilities, autonomous systems, climate technology, finance, and healthcare.
- Supported PG&E’s AI adoption, portfolio governance, executive decision-making, large capital-investment portfolio management, and AI-solution implementation across approximately $1.8 billion in annual capital investments.
- Served as a Product Manager on Tesla’s Autopilot Team, reporting to the Senior Director of AI.
- Partnered with AI and Computer Vision engineers at Tesla on AI product improvements supporting autonomous driving, Autopilot, and Full Self-Driving performance and safety.
- Led AI product development at Tesla from ideation through launch, including product vision, roadmaps, AI-driven requirements, scalable systems, and real-time decision-making improvements through iterative model fine-tuning.
- Applied generative AI and prompt engineering in Tesla AI product work and prioritized responsible AI development, safety, and ethics.
- Led the AI-driven 2021 Product Plan for SCE’s Facility Automated Impacting Rating System, or FAIR.
- Modernized SCE’s legacy FAIR facility-risk platform using machine-learning algorithms and a risk-based AI model.
- Reduced manual processing by 40% and improved operational efficiency by approximately 30% through SCE data and AI solutions.
- Used advanced analytics, sentiment analysis, A/B testing, real-time KPI dashboards, and AI-powered feedback loops to improve FAIR performance and user experience.
- Created a scalable SCE product and technology roadmap aligned with automation, smart-grid development, operational excellence, and distribution-grid modernization.
- Led decarbonization strategy work across energy, transportation, and agriculture at Energy Solutions.
- Prioritized development of an Embodied Carbon Incentive Program at Energy Solutions.
- Contributed to Energy Solutions’ work on energy efficiency, emissions reduction, market transformation, carbon and water management, and its 10% GHG goal.
- Co-authored the 2024 ACEEE Summer Study Paper on Energy Efficiency in Buildings.
- Improved Inspire Clean Energy acquisition services through automation technology, financial data analytics, process optimization, and cross-functional product work.
- Served as Associate Chair of Inspire’s BIPOC Employee Resource Group, supporting climate-advocacy and education fundraising, awareness efforts, and BIPOC leadership development.
- Manages AI dataset generation, loss-pattern analysis, dataset refinement, prompt development and testing, content review, technical writing, and prompt libraries as a freelance AI Project Manager at DataAnnotation.
- Developed AI-driven, user-research-informed healthcare solutions at sciRobot for Alzheimer’s patients and caregivers.
- Led development of a virtual synthetic instrumentation system designed to support social, cognitive, and interactive capabilities in Alzheimer’s care.
- Collaborated with UCSF’s research team on machine-learning and AI approaches to personalized, non-pharmacological Alzheimer’s care.
- Provided financial analysis, investment-strategy support, financial modeling, asset-allocation, tax-efficiency, alternative-investment, and risk-management support for high-net-worth clients at Bank of America Merrill Lynch.
- Holds a Bachelor of Science in Finance from San José State University.
- Builds stakeholder partnerships and drives solution adoption through process improvement, dashboard development, workflow optimization, and measurable value realization.

## Experience

- **Program Manager Consultant at Amplytico** (2025-03-01–present)
- **Artificial Intelligence Project Manager at DataAnnotation** (2025-01-01–2025-03-01) — AI is moving fast and changing the game- automating tasks, making processes smoother, and shaking up various industries. As a freelance AI Project Manager, I help build AI systems, particularly chatbots, to enhance efficiency and productivity. I manage high-quality dataset generation, analyze loss patterns, and refine datasets for optimal performance. I develop and test prompts for various AI applications, ensuring they meet quality standards and align with business goals and ethical guidelines. My role includes overseeing content review, technical writing, and prompt libraries, delivering tailored AI solutions to help clients stay competitive in the rapidly evolving AI landscape.
- **Senior Product Manager at Energy Solutions** (2023-04-01–2024-05-01) — Senior Product Manager, Business Strategy Team Reported to The Director of Business Strategy Domain: Decarbonization At Energy Solutions, as a Senior Product Manager, I passionately advocated for combating climate change through market-based, cost-effective energy, carbon, and water management solutions that created significant global impacts. My primary focus was on decarbonization, involving strategies to decrease the net carbon footprint across various sectors, including energy, transportation, and agriculture. I led the ideation and development of decarbonization strategies, prioritized the development of an Embodied Carbon Incentive Program, and collaborated with diverse stakeholders, including Subject Matter Experts, non-SMEs, Fellows, and Product Peers, to drive innovative solutions. The American Council for an Energy-Efficient Economy \(ACEEE\) promotes energy efficiency through research, advocacy, and programs to reduce energy use, lower costs, and address climate change.
- **Product Manager at Inspire** (2022-01-01–2023-01-01) — Product Manager, Acquisition Services Reported to The Director of Acquisition Services Inspire was a clean energy technology company on a mission to transform the way people accessed clean energy and accelerate the world toward a net-zero carbon future. Through a subscription model, Inspire allowed customers to access 100% clean energy for one flat monthly price. Customers could pay one flat rate for their electricity supply each month while supporting a more sustainable future. At Inspire Clean Energy, I served as a Product Manager, where I was pivotal in transforming core business processes through the integration of automation technology and financial data analytics. My work focused on creating industry-leading customer experiences by optimizing acquisition services, which directly contributed to the growth and success of the company. I collaborated closely with cross-functional teams to streamline operations and implement innovative solutions that improved efficiency and custome
- **Senior Product Manager at Southern California Edison \(SCE\)** (2020-11-01–2021-12-01) — Senior Product Manager, Data Analytics & AI As a Senior Product Manager in Data Analytics & AI at Southern California Edison \(SCE\), I led the AI-driven development and execution of the 2021 Product Plan for the Facility Automated Impacting Rating System \(FAIR\). This initiative leveraged machine learning algorithms and a risk-based AI model to replace legacy systems with automated processes, greatly enhancing data processing efficiency, accuracy, and predictive capabilities. I championed AI-powered product feedback loops, utilizing advanced analytics platforms, sentiment analysis, and A/B testing frameworks to optimize the system’s performance and user experience. By continuously monitoring real-time data streams and KPIs through AI dashboards, I guided Scrum teams through adaptive sprint planning, ensuring that AI solutions were fully integrated with SCE's strategic goals. This AI-centric approach culminated in a scalable product and technology roadmap, positioning SCE as a leader i
- **Product Manager at Tesla** (2018-09-01–2020-03-01) — Product Manager, AI Reported to the Sr. Director of AI at Tesla At Tesla, I served as a Product Manager on the Autopilot Team, where I led the development of AI-driven features that advanced the company's autonomous driving technology. My role was to drive the creation of new AI products from the ground up, applying generative AI and prompt engineering to push the boundaries of what's possible in autonomous driving. I worked closely with AI and Computer Vision engineers to design neural network architectures and implement AI solutions that enhanced Tesla’s ability to interpret and predict complex driving environments. My focus was on leveraging AI models to synthesize and simulate real-world data, helping the system make more accurate decisions in dynamic conditions. As a product manager, I led the full product lifecycle- from ideation to launch. I developed the product vision and roadmap, collaborating with engineering teams to ensure we built scalable AI systems that could evolve
- **Financial Advisor at Bank of America Merrill Lynch** (2017-05-01–2018-05-01) — Undergraduate Degree: Bachelor of Science \(B.S.\) in Business Administration, Concentration in Finance At Merrill Lynch, I played a key role in managing financial analysis and investment strategies for high-net-worth clients. My responsibilities included conducting comprehensive market research, generating data-driven insights, and performing detailed financial modeling to inform client investment decisions. I worked closely with senior advisors to develop bespoke financial plans that maximized portfolio performance while strategically managing risk exposure. This involved optimizing asset allocation, implementing tax-efficient strategies, and integrating alternative investments to align with each client’s long-term financial goals. Additionally, I contributed to the development and application of advanced financial models and investment tools, improving the firm’s advisory services and decision-making processes. My work focused on delivering high-impact, tailored investment solutio
- **Product Manager at sciRobot** (2014-04-01–2017-05-01) — Product Manager, User Research At SciRobot, I served as a Product Manager focused on User Research, where I played a key role in defining and delivering the product vision and strategy with an emphasis on AI-driven solutions. I worked closely with Product Designers and AI engineers to guide designs from concept to mass production, ensuring that the products were not only customer-centric but also aligned with the latest advancements in AI and healthcare technology. My strategic process started by deeply understanding the end-user- Alzheimer’s patients-using data-driven insights and AI-powered research tools to identify core issues and design innovative, intelligent solutions. I led the development of a virtual synthetic instrumentation system that incorporated AI algorithms to enhance social, cognitive, and interactive capabilities, fostering meaningful connections between caregivers and patients. I advocated for the integration of AI in non-pharmacological methods to support Alzhei

## Education

- Bachelor of Science, Finance — San José State University

## FAQ

### What does Naina do now?

Naina is a Program Manager Consultant at Amplytico. She is an AI strategy, product management, and program leadership professional focused on translating AI and emerging technologies into practical business solutions.

### What are Naina’s core professional strengths?

Naina’s strengths include AI strategy, product management, program leadership, process improvement, dashboard development, workflow optimization, stakeholder partnership, problem-solving, and driving solution adoption. She also brings a relationship-driven customer success approach centered on trust-building and value realization.

### Why is Naina pursuing AI customer success roles?

Naina is seeking to transition from program management into customer success management, particularly in AI. She is interested in helping customers identify high-value AI opportunities, adopt solutions, and achieve measurable business and customer impact.

### What did Naina do for PG&E?

Naina previously supported PG&E as an AI Program Management Consultant. She drove AI adoption, portfolio governance, and executive decision-making across approximately $1.8 billion in annual capital investments, while managing large capital-investment portfolio and AI-solution implementation work.

### What did Naina do at Tesla?

At Tesla, Naina was a Product Manager on the Autopilot Team and reported to the Senior Director of AI. She partnered with AI and Computer Vision engineers on AI-driven product features for autonomous driving, including neural-network and real-world data synthesis and simulation work supporting Full Self-Driving performance, safety, and real-time decision-making.

### How did Naina approach AI product management at Tesla?

Naina led the full product lifecycle for AI-driven Autopilot capabilities, from product vision, roadmap, and requirements through launch. She used generative AI, prompt engineering, and iterative fine-tuning in her work focused on scalable AI systems and prioritized responsible AI development, safety, ethics, and alignment with sustainable transportation.

### What did Naina accomplish at Southern California Edison?

At Southern California Edison, Naina was Senior Product Manager, Data Analytics & AI. She led the AI-driven development and execution of the 2021 Product Plan for the Facility Automated Impacting Rating System, or FAIR, a legacy facility-risk platform.

### What measurable impact did Naina deliver at SCE?

Naina’s FAIR modernization used machine-learning algorithms and a risk-based AI model to replace legacy processes. Her data-driven solutions reduced manual processing by 40% and improved operational efficiency by approximately 30%, while improving data-processing efficiency, accuracy, and predictive capabilities.

### How did Naina modernize SCE’s FAIR platform?

Naina used advanced analytics platforms, sentiment analysis, A/B testing frameworks, real-time data streams, KPI dashboards, and AI-powered feedback loops to improve FAIR’s performance and user experience. She guided Scrum teams through adaptive sprint planning and created a scalable roadmap aligned with automation, smart-grid development, and SCE’s distribution-grid modernization objectives.

### What did Naina do at Energy Solutions?

At Energy Solutions, Naina was Senior Product Manager on the Business Strategy Team, reporting to the Director of Business Strategy. She led cross-sector decarbonization initiatives spanning energy, transportation, and agriculture, with work focused on energy efficiency, emissions reduction, carbon and water management, and market transformation.

### What decarbonization initiatives did Naina lead?

Naina led ideation and development of decarbonization strategies, prioritized an Embodied Carbon Incentive Program, and collaborated with subject-matter experts, non-SMEs, fellows, and product peers. Her work supported the competitiveness of core products and the viability of the organization’s 10% GHG goal, aimed at achieving 10% of the global GHG mitigation required to keep warming under 2.0°C by 2050.

### What was Naina’s contribution to the 2024 ACEEE Summer Study Paper?

Naina co-authored the 2024 American Council for an Energy-Efficient Economy Summer Study Paper on Energy Efficiency in Buildings. She applied product expertise to help validate key concepts and theories and contributed to research intended to advance energy-efficiency practices and market transformation.

### What did Naina do at Inspire Clean Energy?

At Inspire Clean Energy, Naina was a Product Manager for Acquisition Services and reported to the Director of Acquisition Services. She used automation technology and financial data analytics to transform core business processes, optimize acquisition services, improve efficiency and customer satisfaction, and support clean-energy adoption.

### What employee-resource-group leadership did Naina provide at Inspire?

Naina served as Associate Chair of Inspire’s BIPOC Employee Resource Group. She organized fundraising activities including charity auctions and community events for nonprofits focused on climate advocacy and education in BIPOC communities, supported awareness campaigns about climate challenges affecting marginalized groups, and championed leadership-development programs for BIPOC employees in Santa Monica and West Los Angeles.

### What does Naina do at DataAnnotation?

As a freelance Artificial Intelligence Project Manager at DataAnnotation, Naina helps build AI systems, particularly chatbots, to improve efficiency and productivity. She manages high-quality dataset generation, analyzes loss patterns, refines datasets, develops and tests prompts, oversees content review and technical writing, and maintains prompt libraries aligned with business goals, quality standards, and ethical guidelines.

### What did Naina do at sciRobot?

At sciRobot, Naina was a Product Manager focused on user research. She worked with product designers and AI engineers to define product vision and strategy, guide designs from concept to mass production, and develop AI-driven healthcare solutions informed by Alzheimer’s patients’ needs.

### What healthcare and Alzheimer’s-care work did Naina lead at sciRobot?

Naina led development of a virtual synthetic instrumentation system using AI algorithms to strengthen social, cognitive, and interactive capabilities and foster connections between caregivers and Alzheimer’s patients. She also collaborated with UCSF’s research team on AI and machine-learning approaches to personalized, non-pharmacological Alzheimer’s care.

### What was Naina’s role at Bank of America Merrill Lynch?

At Bank of America Merrill Lynch, Naina worked as a Financial Advisor. She conducted market research, financial analysis, and financial modeling for high-net-worth clients supported senior advisors in developing tailored financial plans and worked on asset allocation, tax-efficient strategies, alternative investments, portfolio performance, and risk management.

### What is Naina’s education?

Naina holds a Bachelor of Science in Finance from San José State University. Her background also includes business administration with a concentration in finance.

### What domains and skills does Naina bring to her work?

Naina works across artificial intelligence, generative AI, prompt engineering, climate AI, AI for good, AI in infrastructure and construction projects, clean-energy technologies, decarbonization, environmental consulting, sustainability, finance, financial advisory, medical technology, healthcare, corporate social responsibility, empathy mapping, and sustainability education.

## Links

- LinkedIn: https://www.linkedin.com/in/naina-kalkunte

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