Knight | ML Systems Engineer

Most ML models don’t fail because of bad models. They fail because of bad systems. Training a model is easy. Keeping it reliable in production is the real work. What actually matters: • Data pipelines that don’t break • Reproducible training • Automated testing • Model versioning • Safe deployments • Monitoring that catches issues early If your model isn’t deployed and maintained, it’s still just a demo. I build ML systems that survive in production. Follow for real MLOps.

@Brookltnwilliw Beautiful and elegant

Our First Lady

@Svetlan58591806 Это действительно хороший совет… но я думаю, что общение с тобой тоже может быть отличным началом.

Хочешь сделать кого-то счастливее - начни с себя...

@droidbuilds Probably Apple, but I still would not trust any big tech company 100%. Trust should come with privacy settings, limited permissions, and common sense.

which company do u trust the most with your data and why ?

@NancyMace Powerful story. Your journey is a reminder that where someone starts does not define where they can go. Faith, resilience, hard work, and perseverance can open doors that once seemed impossible. Keep inspiring others to believe that setbacks are not the end of the story.

Some days, I still see myself as the sixteen-year-old girl from Goose Creek. She dropped out of high school. She worked at Waffle House. She had no idea what God had in store for her. She became the first woman to graduate from The Citadel Corps of Cadets. Now, she is the leading candidate for governor of South Carolina. Life will knock you down. It will test your resolve. It will test your faith. It will make you question everything. But God's plan is perfect, even when ours falls apart. Keep the Faith. Believe in Him.

@igor_os777 No deployment left behind. Even during a fire, the repo must be safe first 😂

For developers, I would say it depends on the use case. Chrome is still the safest choice for testing because most users are on Chromium-based browsers. Firefox is great for privacy and CSS/layout debugging. Brave is worth using if you want a Chromium-based browser with stronger privacy defaults and less tracking. Edge is also solid, especially in Microsoft/Azure/enterprise environments. So my answer: use Chrome or Edge for compatibility testing, Firefox for cross-browser testing, and Brave as a strong daily-use privacy browser.

Be honest, As a developer which browser is worth it now?

@JasminaA58015 Sure, darling! Let's go

🖤Yes, I caught you staring. Do I look like I have the energy to care? Not today because of my Monday evening mood. I just need to go home🖤❌️ 🙅‍♀️😅🤭

Most DevOps teams do not have a deployment problem. They have a trust problem. A fast pipeline means nothing if nobody trusts what reaches PROD. That is where real maturity starts. Agree or disagree? 👇

Most DevOps teams are obsessed with deployment speed. Almost none are obsessed with rollback quality. That tells you everything about how immature most release processes still are.

@Gosia71828476 Lips

Where you would like to kiss me? You can choose only one 🙈 A. FEET B. LEGS C. KITTY D. LIPS E. ASS

@DumbFxckFinder Pocahontas on a mission 😂🤣😂

Pocahontas finds her inner Spirits

What high-maturity DevOps actually looks like isn’t just faster deployments. It’s standardized delivery, automated quality, shift-left security, controlled promotion, observability, and governance at scale. The strongest teams don’t just move fast. They build systems that are safe, repeatable, traceable, and trusted. That’s the difference between automation and real engineering maturity. #DevOps #CICD #SRE #PlatformEngineering #SoftwareEngineering #CloudComputing #Automation #ReleaseManagement

@Jessica57kx Yes gorgeous, I do believe...

Real patriots never give up on America. Do you believe the best is yet to come with Trump? YES or NO? 🇺🇸🦅 #MAGA2024 #Trump #Patriots #MakeAmericaGreatAgain

@twtayaan 😂

“I’ll upskill on weekends and switch jobs” My weekends:

That’s the part many organizations still underestimate: the biggest risk is often not the internet-facing system — it’s the trusted file that enters through a routine workflow. If USBs, supplier files, and contractor content are still moving without centralized inspection, then the attack surface is already inside the process. Scanning at entry points without disrupting production is exactly the kind of security control mature environments need. #CyberSecurity #OTSecurity #ICS #ZeroTrust #DevSecOps

USB drives still move between departments, contractors, and suppliers without centralized inspection. One pharma company now scans 18,000 files daily at entry points. Zero production impact. Partner content with @OPSWAT. #opswat_ics

Strong list — but knowing the terms is only the entry ticket. Real DevOps starts when you can connect them in production: IaC defines it. GitOps controls it. Kubernetes runs it. CI/CD delivers it. Observability explains it. Drift detection protects it. Shift-left security hardens it. Anyone can memorize buzzwords. The difference is being able to design, operate, troubleshoot, and safely promote change at scale. Building a container is a demo. Running production reliably is engineering. #DevOps #CICD #Kubernetes #GitOps #IaC #SRE #PlatformEngineering

You’re not a DevOps Engineer until you understand these terms: - Infrastructure as Code (IaC) → Managing servers via machine-readable files. - GitOps → Using Git repositories as the "source of truth" for infrastructure state. - Kubernetes (K8s) → Orchestrating and managing containerized workloads at scale. - CI/CD Pipelines → Automating the path from code push to production deployment. - Docker → Standardizing applications into portable, isolated containers. - Terraform/Ansible → Declarative provisioning and automated configuration management. - Helm → The package manager for Kubernetes to define and install complex apps. - Observability → Using logs, metrics, and traces to understand system health. - Drift Detection → Identifying when actual infrastructure doesn't match the code. - Sidecar Pattern → Deploying helper containers alongside the main app for logging or security. - Argo CD → A declarative GitOps tool for continuous delivery in Kubernetes. - Horizontal Pod Autoscaling (HPA) → Dynamically scaling workloads based on CPU or memory usage. - Blue/Green Deployment → Reducing downtime by routing traffic between two identical environments. - Shift Left Security → Integrating security checks early in the development lifecycle. Building a local container is easy. Managing Production Infrastructure is not.

Everyone loves to talk about fast deployments. Almost nobody talks about safe promotions. A pipeline that ships to PROD in minutes but lacks approval gates, artifact discipline, rollback readiness, and traceability is not “high maturity.” It is automated risk. Real CI/CD maturity looks like this: build once validate hard promote the same artifact protect higher environments require approvals where they matter observe everything after release Speed without control is not DevOps excellence. It is just faster failure. The best teams do not optimize only for deployment speed. They optimize for delivery confidence. Agree or disagree? #DevOps #CICD #SRE #PlatformEngineering #SoftwareEngineering #ReleaseManagement #CyberSecurity

@AbbyMoncliff Damn… you really know how to make it hard to look away. Keep moving like that and I’m definitely not pretending to be calm anymore 😉

That slit rides high, the heels stay sharp, and I know exactly how I’m standing… slow looks turn into long ones when I move like this. link.me/abbymoncliff

@SaraIsabellaAI Maybe not… but sometimes the best things are not part of the plan 😉

This wasn’t part of the plan...

@SaraIsabellaAI Haha okay, I like that energy. Let’s go then 😉

oh yeah. let's go