Shivani Sheth
AI & Cloud Solutions Lead
Toronto, Canada
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As an AI specialist at Google Cloud, Shivani works at the cutting edge of modern intelligent systems, focusing on cloud infrastructure, enterprise machine learning, foundation models, and autonomous AI. Her experience spans advising enterprise leaders across digital transformation journeys - helping organizations modernize legacy systems of record, integrate intelligent agent platforms, and execute high-impact AI strategies that deliver sustainable financial and operational ROI.
Having led multiple teams across startups and big tech, Shivani brings a deeply grounded, human-centric approach to leadership and career growth. Beyond her technical expertise, she is a passionate advocate for professional development, mentoring others in building career confidence, personal branding, and effective leadership. Whether speaking on cutting-edge AI architectures or empowering technologists to scale their impact, Shivani bridges the gap between technical execution and personal empowerment.
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Owning Your Trajectory: The Tactical Career Acceleration Playbook
In fast-paced engineering environments, relying on your code or 'good work' to speak for itself often leads to the Silent Executor Trap, recency bias, and stalled career progression.
Based on a proven executive-sponsorship playbook, this session provides senior engineers, leads, and architects with four practical 5-minute habits to actively manage their career growth.
From Clicks to Intent: Architecting Agent-Driven Web Apps with Gemini
Traditional web applications rely on static forms, multi-step checkout flows, and rigid input validation. The rise of multimodal generative AI and structured function calling allows web developers to reimagine user experience—shifting from manual click-heavy navigation to intent-driven web interfaces that act on behalf of the user.
In this session, we explore how web developers can integrate Gemini models into modern web frameworks (such as Angular, React, or standard TypeScript backends). We will break down the end-to-end architecture: converting natural language or image inputs into structured JSON payloads, safely invoking web APIs via function calling, and maintaining smooth, low-latency UI updates using streaming responses.
Mastering Development Efficiency through Skills on Antigravity
As software engineering transitions from inline code completions to agent-first workflows, maximizing developer velocity requires a structured approach to context management, tool integration, and agent orchestration.
This practical, technical session provides a deep dive into elevating developer efficiency using Google Antigravity. We will explore how to build, refine, and deploy modular agent skills - from custom workspace rules and implementation plans to automated testing validators. Attendees will learn concrete execution patterns for managing asynchronous agent loops across editor and terminal surfaces, inspecting generated artifacts, and enforcing deterministic boundaries to maintain high code quality at scale.
From Clicks to Intent: Architecting Agent-Driven Web Apps with Gemini
Traditional web applications rely on static forms, multi-step checkout flows, and rigid input validation. The rise of multimodal generative AI and structured function calling allows web developers to reimagine user experience—shifting from manual click-heavy navigation to intent-driven web interfaces that act on behalf of the user.
In this session, we explore how web developers can integrate Gemini models into modern web frameworks (such as Angular, React, or standard TypeScript backends). We will break down the end-to-end architecture: converting natural language or image inputs into structured JSON payloads, safely invoking web APIs via function calling, and maintaining smooth, low-latency UI updates using streaming responses.
Building the Autonomous Enterprise: Production AI Agent Architectures on Google Cloud
The enterprise landscape is shifting from conversational copilots to autonomous multi-agent systems capable of executing complex business workflows. This session examines the end-to-end blueprint for deploying production-grade AI agents using Google Cloud’s agentic platform. We will explore how enterprises integrate reasoning agents into legacy backends, enforce deterministic guardrails, and ground models on enterprise data to eliminate hallucination risks. Attendees will gain actionable insights on transitioning from pilot-stage automation to secure, self-directing enterprise systems.
Why Great Engineers Get Stuck (and How to Get Promoted Anyway)
Most career advice says "work harder" or "network more." Very little explains how trust, visibility, and influence are actually built.
AI is making technical output faster and cheaper to produce. How you communicate, decide, and lead is becoming the real differentiator.
Shivani has led teams at startups and big tech, so she has been on the side of deciding who gets trusted with bigger work. She works with senior enterprise leaders on a daily basis, where credibility is earned in minutes, not months.
You'll leave with:
- A simple way to make your impact visible without bragging
- Three habits you can start this week
- A clearer view of what may be holding your career back
Speak Up Before You're Ready: Building Confidence in Tech
How to be heard in rooms where you're the least senior person.
Waiting until you feel ready is a trap. This talk treats confidence as a skill built through repetition, and covers the moments that matter most in a technical career: disagreeing, presenting, asking for credit, and saying "I don't know" without losing credibility.
This talk is practical and specific, not motivational. People leave knowing exactly what to say.
Teams are more distributed and careers move faster, so there are fewer chances to make a first impression.
Shivani's work puts her in front of senior enterprise stakeholders on complex AI and cloud decisions, often as the technical voice in the room. Earning trust there is part of the job, and it's a skill she's had to build deliberately.
You'll leave with:
- Scripts for four high-stakes moments
- A pre-meeting routine you can reuse
- A way to turn self-doubt into better preparation
Personal Branding for Engineers Who Hate Self-Promotion
You already have a brand. Here's how to shape it on purpose.
People are forming opinions about you right now, in meetings, in messages, and in what they find when they search your name. This talk shows how to decide what you want to be known for and shape it through your work, writing, and speaking, authentically and in a few hours a month.
Most branding advice is built for influencers. This is built for engineers, specialists, and leaders who would rather let the work speak.
In a crowded, fast-changing field, being clear about what you stand for is how opportunities find you.
Shivani has built a reputation in AI and cloud while doing the work full-time, across startups, big tech, and now Google Cloud. Shivani speaks as a practitioner, not a content creator.
You'll leave with:
- A one-sentence positioning statement for your career
- A low-effort visibility plan
- Clear dos and don'ts for LinkedIn, speaking, and internal reputation
Leading Teams Through AI Change When the Roadmap Keeps Changing
A practical leadership playbook for when the plan gets rewritten every month.
Every team is being asked to adopt AI while the ground keeps shifting. This talk is for anyone who leads people, formally or informally, and offers a practical approach to keeping teams calm, curious, and productive when nobody has all the answers.
Most AI talks are about tools. Few address what it takes to lead a team through the change.
Teams are deep in adoption, and the people side is where it succeeds or stalls.
Shivani has led teams through uncertainty at startups and big tech, and today she helps enterprise leaders put AI into practice at Google. Shivani sees the technical decisions and the human ones side by side.
You'll leave with:
- How to talk to your team about AI without hype or fear
- A way to upskill people without stopping delivery
- Ideas for building trust when plans keep changing
How to Get Your AI Idea Funded: Explaining Technical Work to Executives
The best idea doesn't always win. The best-explained one does.
This session shows how to translate technical depth into outcomes executives care about, so your work gets funded, trusted, and used.
This talk turns something vague, "communicating with leadership," into a repeatable method.
AI projects live or die on stakeholder buy-in, and the gap between builders and decision-makers keeps widening.
Helping enterprise leaders turn AI strategy into measurable financial and operational results is Shivani's daily job.
You'll leave with:
- A framework for linking technical work to business value
- Ways to handle skepticism and tough questions
- A template for your next stakeholder conversation
Future-Proofing Your Tech Career in the Age of AI
Which skills AI will amplify, which it will replace, and what only you can do.
AI is changing which skills matter, and most advice either panics or overpromises. This keynote offers a calmer, more useful view: where AI amplifies your work, where it replaces it, and where human judgment, trust, and leadership become more valuable.
This talk gives a decision framework rather than predictions, so the audience can act on it however the technology evolves.
Everyone in the room is quietly asking whether their skills will still matter, and they deserve a grounded answer.
Shivani works inside enterprise AI every day, from foundation models to autonomous agents, and has led teams through several waves of change. Shivani speaks from practice, not speculation.
You'll leave with:
- A 15-minute personal skills audit
- A shortlist of durable skills worth investing in
- A learning plan that doesn't depend on chasing every new tool
Shivani Sheth
AI & Cloud Solutions Lead
Toronto, Canada
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