Thirty years of work have taken me through Engineering, Major Capital Projects, Military Service, and Specialised Operations. I built my foundation as a chartered Mechanical Engineer and Project Leader, delivering complex Oil & Gas Assets, Infrastructure, Petro-Chemical Complexes, Water Systems, and Asset Management Programs across Australia, Middle East, and Asia. Along the way, I worked with some of the world's largest oil and gas operators, including Shell, Chevron, Woodside, OilSearch, ENI, and IGC Petrochem, leading teams through Commissioning, Reliability Improvements, Shutdowns, and long-term Integrity planning and management.

In parallel to my engineering career, I served in Tier-1 Special Operations, providing discreet support to government entities through Special Services Global and Beta Epsilon. That work demanded precision, judgement, and the ability to operate in environments where there was no margin for error.

Today, I bring both paths together as Global Operations Director at Covert Kinetics. The company extends years of experience in sensitive missions and high-stakes project environments, now focused on Investigative Intelligence, OSINT, HUMINT, and Specialised Operational Support for organisations and leadership teams across borders.My skill set is a blend of Technical Depth and Operational Awareness. Asset Integrity, Cyber Exposure, Project Delivery, Data analytics, Risk Identification, Behavioural Assessment, and Strategic Decision Spport all sit at the centre of the work I do. 

The goal is always the same, whether for a national project or a confidential investigation: uncover risks before they surface and strengthen the systems that protect people, assets, and investments.I connect with those who value insight, clarity, and confidentiality, especially in environments where informed decisions matter most.

Waseem Rehman

Fenja Vespermann

Founder / 3D Designer + Creative Director @hooraystudio / passionate about interactive fashion design, new technologies and web3

Every founder I know built the thing they were missing.
For me, that was a faster, less frustrating way to prototype 3D ideas without killing creative momentum.

I come from the trenches of digital production - building for clients, pitching at midnight, re-rendering scenes till they looked just right.
Now, I'm building Mimikry.ai with focus on integrating responsible AI into brand-specific pipelines that let brands move faster, explore more, and still own their vision.

I’m not here to automate away the craft.
I’m here to make space for it.

If you want to see more what I am currently building, check here: www.mimikry.ai

Founder, Digital Designer

hooray is a global new media creative studio with a pioneering innovator in the creative field. The studio brings together abstract, elemental, and contemporary artists with a futuristic approach, creating excellence in areas such as animation, house mapping, and AR/VR applications. Together they create a place where art and technology finally find a home. 


People often overcomplicate AI adoption for enterprises, even if it may seem complex. 
 
Listen, if you're a CMO or CTO at a Fortune 500:
 
𝗔𝘃𝗼𝗶𝗱:
 
• Believing AI will solve problems you don't understand yet
• Deploying before your team knows what success looks like
• Building internal AI teams without proven use cases first
• Trusting vendors who promise transformation in 30 days
 
𝗜𝗻𝘀𝘁𝗲𝗮𝗱:
 
• Map your actual bottlenecks first: 
• Which problem slows the entire process? Measure! 
• Start with assets you already own: 
• What type of data you have? 
  CAD, 3D, Production-files? Use everything you have!
• Test on one repeatable workflow before hiring data scientists.
• Build infrastructure only after proving the use case manually
• Find people who really understand your existing tech stack. No bullshit AI talk. 

Focus on this for the first 90 days. Use that knowledge to understand what you actually need and how to solve it.

Anything else I missed?

Connecting data, technology, and creative systems | Building vertical AI

90% of my wins came from cringing and doing it again.
 
And again. 
And again.
And again.
 
Client doesn't respond to your email?
 
I send a physical pitch card to their desk.
 
3 people at a Fortune 500 say "not interested"?
 
I find the 4th person who wants to talk.
 
I cringe at my own LinkedIn posts until someone at an event says: 
"I know you from LinkedIn."
 
I spend 15 minutes reading someone's profile, their articles, their comments, so when I message them, it's actually worth their time. 

I've sent physical pitch decks to desks to New York.
 
I've rewritten the same message 8 times until it felt right.
I want to write something that people find worth their time. 
 
I've gotten ghosted by 12 people before person #13 said "let's talk."
 
And I still cringe watching my LinkedIn posts.

Winning isn't about being the smartest or having the best product. 
Not at all, wish this were different haha. 
 
It's about being the one who's still there when everyone else left, but doing it with authenticity, interest, and real intentions.
 
 
What's your "tried again and it worked" story?

Surprising finding today: 

77% of employees using AI self-identify as "AI champions."

This explains something I kept seeing but couldn't articulate.

The brands seeing best results aren't the ones with the most sophisticated AI strategy. They're the ones where someone on the creative team became obsessed with solving a specific problem.

Pattern I'm noticing:

Successful deployments:
1. Designer sees 3-hour task → finds way to do it in 20 minutes → shows entire team and is really excited and happy!
2. Production manager solves one bottleneck → applies same approach everywhere
3. Creative lead gets excited → enthusiasm spreads organically

Struggling deployments:
1. IT rolls out tool company-wide
2. Training happens in conference rooms

Measured by "seats deployed"

The difference isn't the technology. 
It's whether someone cares enough to make it work for their actual job.
You can't mandate that from the top. You can only create conditions where it emerges, at least I feel so.

What do you think about that, just me? 

--------------------------------

Hi I am Fenja, I  share practical insights from building custom AI infrastructure for Fortune 500 brands like Adidas, BMW and Otto Group.  I post real metrics and honest lessons about tech and AI, sometimes a little about the Founder life as well. Follow along if you feel like it!

ai automation, workflow generation, automation systems

When I was little, I wanted the Polly Pocket Airplane Edition more than anything. 
That was my biggest Christmas wish.

Christmas evening, I got it. 
But I had no idea what it cost my mother.

Years later, cleaning out the basement, I found that airplane. 
That's when my mom told me the real story.

She was a single mother, living in a small apartment, working multiple jobs just to keep us afloat. For weeks, I stayed with my grandparents in the evenings while she worked night shifts as a waitress. 
All that so she could buy me that toy.

What she said next stayed with me forever:

"When I saw your face light up, the sleepless nights didn't matter anymore. Because you where so happy and I was so proud of myself." I had to cry for real.

This taught me more about motivation than any business book ever could.

Real resilience isn't about grinding for yourself.
It's about finding motivation in what you're building for others. 
It's about making sacrifices that no one sees, for outcomes that matter.

My mom showed me that love isn't just an emotion - it's a driving force that can carry you through impossible circumstances, and I am endlessly grateful to have learned that. 

Do you have something special you learned from your parents?

I really like the paper Khulan Dav ✦ wrote about talking further possibilities regarding integration of ai. Especially when it comes to enterprise. The conclusion is, that over time it’s much more reliable to focus on the optimization of existing infractuctures rather then adding over and over adding tools to your tech stacks. Great article!

Open article: Enterprise creative AI: what tools are big brands using? by Khulan Dav ✦ • 5 min read

Enterprise creative AI: what tools are big brands using?

Hey people, we are looking for PR support - preferably with focus on tech/ ai scene in Germany and including Europe. 

Happy to get any recommendations 🍜

𝗪𝗲'𝘃𝗲 𝗯𝗲𝗲𝗻 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗤𝘄𝗲𝗻 𝗚𝗮𝘂𝘀𝘀𝗶𝗮𝗻 𝗦𝗽𝗹𝗮𝘁𝘁𝗶𝗻𝗴 𝗹𝗼𝗿𝗮 – 𝗮𝗻𝗱 𝗵𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀 (𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝗱𝗼𝗲𝘀𝗻'𝘁)

Gaussian Splashing caught our attention because it promises something we desperately need: controllable camera movement in AI-generated 3D scenes.

𝗧𝗵𝗲 𝘀𝗲𝘁𝘂𝗽:
* Input: Reference image of location
* Pre-Process: Using Apple SHARP to generate a Splat 
→ precisely define new camera angles
* Finalize: Refine Image with Qwen Image Edit for final output

𝗪𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝘀:
✓ Predictable camera angles and precise positioning control
✓ Great for fixed locations and interior scenes
✓ You actually control the camera – not just pray the AI guesses right


𝗥𝗲𝗮𝗹 𝗹𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝘄𝗲 𝗵𝗶𝘁:
* 360° generation? Not there yet. Anything beyond 90° gets sketchy
* The model hallucinates to fill gaps – if the scene isn't fully defined, it invents details
* Extreme camera angles like fisheye get compensated weirdly, not always keeping proper distortions. a little bit of guidance via promt helps.

𝗕𝗼𝘁𝘁𝗼𝗺 𝗹𝗶𝗻𝗲: The Workflow is useful for specific use cases – controlled interior shots, product repositioning with limited angle changes. But if you need full scene coverage or complex camera work, you'll hit its boundaries fast, and you need to train additional Loras or do alot of refinement afterwards, to fill the gaps here.

The open-source model is here:
https://lnkd.in/ePjbJSvc

Anyone else testing Gaussian Splats in their workflows? What's been your experience with the limitation?

taplio

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Waseem Rehman

Fenja Vespermann

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