You get the most actionable audience building tips on LinkedIn | Currently helping 4 founders reduce CAC by turning their LinkedIn brand into a 24/7 salesperson.

In 2020, I left a miserable HR job. No savings, no backup plan. Just fear.

My dad was furious. 

Understandably, I had just walked away from what so many considered a golden opportunity.

I felt like a failure. 

But deep down, I knew I had to make a change. Because staying meant being stuck in a life and career I had no passion for. I was also trapped in:

🛑 A relationship I thought would last forever
🛑 The house I had lived in for 25 years
🛑 And Sundays spent with my mom’s delicious rice and chicken stew

It seemed too comfortable for my growth.

So, I took the risk. Learned social media management and quit my job.

With no formal training, I hustled day and night, looking for internship opportunities. After months of rejection, a marketing and brand manager for an Edtech company took a chance on me.

It wasn’t easy. But that first step opened doors I never imagined.

Since then, I’ve worked with some of the biggest tech brands across Africa and beyond. Today, I manage social media for a New York-based startup, earning 100x more than I did back then.

In my current role, I’ve:

1. Helped monetize our YouTube channel
2. Created the company’s top three viral posts
3. Increased brand presence on LinkedIn and Twitter.

Even though my dad still thinks I made a mistake, I'm having the time of my life observing startups (especially in Africa) from my Marketing POV.

Darius Ogenyi

Why Paystack restructured into a holding company (The Stack Group HQ)

Content @Tech Safari | Making sense of the global startup ecosystem, starting with Africa.

Blockchain & AI Expert | Empowering 100+ Top Global Brands | Open to Innovative Projects in Blockchain, DeFi, Games & AI/ML | DM Me For Your Technical Concerns 📧

🌟 AI Overlords | Engineering the Future with Intelligence

We’re a team of 30+ expert engineers powering 75+ startups across 🌐 Real Estate, Finance, Healthcare, EdTech, Fashion & more.

🚀 What We Build:
🧠 Agentic & Voice AI
📚 LLM Fine-Tuning | RAG | CAG
⚙️ ML Ops | CV 2.0 | Predictive Analytics
💡 GenAI Solutions & Scalable Software

🏆 Our Impact:
✔️ 75+ AI/ML Projects Delivered
✔️ Trusted by Innovators in 10+ Industries
✔️ Built for Speed, Scale & Real-World Value

At the intersection of AI, ML & GPU computing, we help you launch faster, scale smarter, and innovate fearlessly.

🤝 Let’s connect and explore what we can build together.

Yogesh Kumar

🌟 Artificial Intelligence-Driven Approaches for Materials Design & Discovery

The pace of innovation in materials science is accelerating — not by incremental tweaks, but through AI-enabled breakthroughs that help scientists discover, design, and optimize new materials faster and more efficiently than ever before.
Traditionally, materials design relied on intuition, trial-and-error experimentation, and time-intensive simulations. 

Today, AI is reshaping the process from end to end — transforming how we model atomic interactions, predict properties, and unlock unprecedented performance in everything from batteries to biomaterials.

Here’s why AI matters in materials science:

🔹 Predictive Modeling & Property Prediction
Machine learning models can predict physical, chemical, and mechanical properties of materials before they are ever synthesized — saving months of lab work.

🔹 Accelerated Simulation
AI-augmented simulations (surrogate models, generative models) drastically reduce computational cost and time compared to traditional first-principles methods.

🔹 Inverse Design & Generative AI
Instead of testing countless combinations, models can suggest candidates that meet specific performance criteria — flipping the discovery process from brute force to goal-oriented design.

🔹 Big Data, Real-World Insights
Combining experimental data, computational results, and literature with AI enables deeper insight into materials behavior across conditions that would be impractical to test manually.

🔹 Optimization Across Scales
From nano-scale structures to macro-level manufacturing constraints, AI frameworks help optimize materials for real performance, manufacturability, and cost.

🔹 Cross-Domain Integration
AI bridges materials design with adjacent domains like chemistry, physics, and process engineering — creating new pathways for multi-functional materials.

Why this matters now:

AI isn’t just improving materials research; it’s redefining it. Autonomous discovery pipelines, smart experimental design, and AI-guided simulations are accelerating innovation cycles, pushing industries closer to sustainability goals, energy breakthroughs, and next-gen technologies.

“AI Overlords is one of the fastest growing AI/ML Tech Service Startup“ - Republic World.

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The Battle

Darius Ogenyi

Yogesh Kumar

Followers

Posts

Engagements

Likes

Performance ScoreDarius Ogenyi's LinkedIn Performance

Performance ScoreYogesh Kumar's LinkedIn Performance

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taplio

The Battle

Darius Ogenyi

Yogesh Kumar

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Darius Ogenyi's LinkedIn Performance

Performance ScoreYogesh Kumar's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreDarius Ogenyi's LinkedIn Performance