Creator / Thought Leader
i.Build a cross-functional audience around your expertise. POV pieces, lessons learned, contrarian takes. Money comes from courses, paid newsletters, sponsorships, advisory, and speaking.
A strategic field guide for founders, operators, and experts deciding where to put their energy.
Most people don't choose a LinkedIn strategy. They mistake visibility for strategy — posting consistently, watching reach climb, and never naming what the account is actually for.
The result is reach without recognition. The likes accumulate. The follower count moves. And nothing gets clearer about who you are or what you do.
Strategy on LinkedIn starts before the first post. It starts with naming what kind of account you're actually building, because the type determines everything downstream: what you publish, how you measure success, who you connect with, and what "winning" even looks like.
This is a working map of the LinkedIn account types I see most often, organized by strategic intent. It's meant as a reference — something to return to when the noise gets loud.
Before placement (where you show up) or continuation (how you stay), you have to know what you're building. Account type is one of the clearest framing decisions you'll make on any platform.
Most people don't choose a LinkedIn strategy. They mistake visibility for strategy — posting consistently, watching reach climb, and never naming what the account is actually for.
The result is reach without recognition. The likes accumulate. The follower count moves. And nothing gets clearer about who you are or what you do.
Strategy on LinkedIn starts before the first post. It starts with naming what kind of account you're actually building, because the type determines everything downstream: what you publish, how you measure success, who you connect with, and what "winning" even looks like.
This is a working map of the LinkedIn account types I see most often, organized by strategic intent. It's meant as a reference — something to return to when the noise gets loud.
Before placement (where you show up) or continuation (how you stay), you have to know what you're building. Account type is one of the clearest framing decisions you'll make on any platform.
A few platform truths apply across every account type below. What changes is how each type uses them.
The audience itself is the business. Your relationship with that audience is what gets monetized.
Build a cross-functional audience around your expertise. POV pieces, lessons learned, contrarian takes. Money comes from courses, paid newsletters, sponsorships, advisory, and speaking.
Niche-specific creator — marketing, sales, HR, finance, engineering management. Smaller audience than a general thought leader, but per-follower commercial value is much higher. Sponsored posts, webinar partnerships, paid newsletters.
Faceless career-advice or industry-news pages. Curated lists, quote graphics, repackaged news. Less common on LinkedIn than on Instagram, but real for recruiting, sales, and finance niches.
The account is a calling card. Opportunities — jobs, partnerships, speaking, books, board seats — come to you because of what you publish. The center of gravity on this platform.
Become known for something specific so the right opportunities — jobs, partnerships, speaking, board seats — find you. The default LinkedIn move, and the right one for most senior operators and experts.
Deep authority within a narrow specialty — a function (FP&A, RevOps, IC management) or an industry (regulated industries, B2B SaaS finance). Tighter audience, higher density of qualified buyers and recruiters.
A time-limited posture during a career transition. The content mix shifts: more visible projects, more reflection on craft, more direct positioning of what you're looking for. The audience that matters is recruiters and warm intros, not virality.
Build a personal brand while amplifying your employer's work. Reposting wins, sharing behind-the-scenes, voicing the company's POV in your own register. Most useful at a company you're proud of, with a marketing team that knows it.
The account is a sales and brand-building channel for something you own — whether that's a company, a practice, or your time.
The logo-led corporate page. Mostly underperforms — personal accounts at the company will get 5–10× the same content's reach — but every brand needs to own one. Use it for official announcements, recruiting, customer stories, and category leadership.
The actual best practice for B2B brands on LinkedIn. The founder publishes — POV, lessons learned, category takes, customer wins — and the account outperforms the company page by an order of magnitude. Pipeline follows.
A personal account selling personal services — coaching, consulting, fractional work, freelance practice. Posts demonstrate the work, share frameworks, seed inbound inquiries. Positioning matters more than volume.
A sales rep or SDR using content, comments, and targeted DMs to warm up prospects before the pitch. Posts build credibility in the buyer's space; comments build familiarity; DMs open conversations the cold email can't.
People don't follow for content alone — they follow because they want to be part of something. The account organizes belonging.
Run a cohort, paid community, alumni network, or industry forum. The community itself is the primary asset; LinkedIn is the discovery layer that brings people into it. Posts feature members, surface their wins, and signal what the group values.
Organize professional energy around a cause — DEI, mental health, climate, accessibility, fair labor practices. LinkedIn is the most credible setting for this work because the audience carries professional stakes. Posts mix evidence, personal angle, and a clear ask.
Most successful LinkedIn accounts are hybrids. Career Capital tends to underwrite the others — personal brands sell consulting, niche authorities seed communities, founders move pipeline through their own profiles.
Lead with one. Layer the next when the first is established.
A useful exercise: pick the type you think you're running, then look at your last twenty posts. Are they coherent with that intent? If not, one of two things is true — either the type is wrong, or the content is.
Most strategy problems on LinkedIn are framing problems wearing tactical clothing. Get the framing right and the tactics get a lot simpler.
Entrepreneurs, educators, & advocates driving social or cultural impact.
Change Management
Emotional Intelligence
Change-makers are the ones redefining what’s possible, redirecting the master narrative, and protecting communities.
I’m here to help you transform bold ideas into sustainable impact.
I thrive at the intersection of emotional intelligence and empathy-driven change management, helping you navigate the complexities of transformation with care and clarity.
Whatever you’re working toward, I would be honored to amplify the movement.
Artists, filmmakers, writers, & designers looking to scale their vision.
Strategy
Analytics
Marketing Yourself
…these things tend to give even the most successful creators a case of the spookies.
Let us translate your genius and back it up with data and narrative.
We’re the team you call when the creative sparks fly but the details start to weigh you down.
From capturing those behind-the-scenes moments to brainstorming bold ideas or locking in the opportunities that take you to the next level, we’ve got you covered.
Nonprofits, start-ups, mission-focused brands, & socially responsible companies.
Whether you need:
a creative partner
a strategist
an executor
all of the above
—I’m here for it.
I’ve worked with professionals at every level, from C-suites and executive directors to board members, strategists, managers, and individual contributors, making sure everyone understands their role and feels empowered to contribute to the project’s greater purpose.
Thank you for taking the time to explore my portfolio.
Every project here represents a relationship built on trust—trust from mission-driven organizations and individuals with big ideas and the courage to pursue them.
That trust is something I deeply respect.
Each campaign I’ve created, every strategy I’ve designed, and all the content I’ve crafted have been opportunities to amplify voices that matter, highlight meaningful work, and connect people through shared purpose.
For me, marketing isn’t about selling—it’s about serving. It’s about showing up with creativity, clarity, and commitment to help others bring their vision to life.
Thank you for being here. I hope my work inspires you to imagine what’s possible for your own purpose, and I look forward to the possibility of supporting your journey.
With gratitude,
Tess
What is Federated Learning?
Federated learning is an AI training approach that enhances privacy and security by keeping data localized on users’ devices instead of centralizing it in one location. This decentralized method allows models to learn from data across multiple devices or servers while only sharing insights—rather than raw data—back to a central system.
In the context of AI responsibility, federated learning minimizes data exposure, reduces the risk of breaches, and supports compliance with data protection regulations like GDPR and CCPA. It also promotes ethical AI development by preserving user control over personal information and enabling more inclusive and privacy-focused AI systems.
What is Dynamic Workload Scheduling?
Dynamic workload scheduling is an energy-efficient computing strategy that adjusts when and where AI workloads are processed based on real-time conditions, such as renewable energy availability, electricity prices, and server capacity.
In the context of sustainable AI computing, it means shifting AI training or inference tasks to times and locations where renewable energy sources (like solar and wind) are abundant to reduce carbon emissions and energy costs.
How Does Dynamic Workload Scheduling Work?
Aligning AI Training with Renewable Energy Peaks
Load Balancing Across Data Centers
Taking Advantage of Variable Electricity Pricing
AI-Optimized Scheduling Systems
Google’s Carbon-Aware Computing:
Microsoft’s Project Forge Global Scheduler:
What Is an AI Accelerator?
An AI accelerator is a specialized hardware component designed to speed up artificial intelligence (AI) and machine learning (ML) workloads more efficiently than traditional processors like CPUs (Central Processing Units) or even GPUs (Graphics Processing Units). These accelerators are optimized for parallel processing, lower energy consumption, and high-performance AI computations.
How Do AI Accelerators Work?
Unlike general-purpose CPUs, which handle a wide variety of computing tasks, AI accelerators are custom-built for specific AI operations such as:
Matrix multiplications & tensor processing (core operations in deep learning).
Neural network training & inference (faster model execution).
Optimized data flow (reducing memory bottlenecks).
These accelerators reduce the energy and time required to train AI models and process real-time AI applications, making them crucial for sustainable computing strategies.
Examples of AI Accelerators
1. Google Tensor Processing Units (TPUs)
What it is: Custom-built by Google for deep learning workloads.
Why it matters: Uses less power than GPUs while accelerating AI model training.
Example: Google’s TPUs power Google Search, Google Photos, and AI-driven healthcare research.
2. AWS Inferentia (Amazon Web Services)
What it is: A custom AI chip designed for machine learning inference (running trained AI models efficiently).
Why it matters: Uses lower power and costs less than GPUs for AI-powered applications.
Example: Powers Alexa, AWS AI services, and real-time recommendations for e-commerce.
3. NVIDIA Grace Hopper Superchip
What it is: A hybrid CPU-GPU superchip designed for high-performance AI applications.
Why it matters: Reduces energy consumption while handling massive AI models like large language models (LLMs).
Example: Used in supercomputers, autonomous vehicles, and generative AI models.
A specialized processor designed for parallel processing, originally developed for rendering graphics. GPUs have thousands of smaller cores that can process multiple tasks simultaneously, making them ideal for AI, machine learning, gaming, and high-performance computing. Unlike CPUs, GPUs are optimized for large-scale data computations, enabling faster processing of complex mathematical operations.