Machine Learning, Data Scientist & Web developer
Joined May 2021
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@dr.nerd retweeted
Introducing Claude Code Security, now in limited research preview.
It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss.
Learn more: anthropic.com/news/claude-co…
@dr.nerd retweeted
Infoblox Threat Intelligence uncovers Evilginx-based SSO phishing using subdomains that mimic university portals, targeting at least 18 US institutions since April 2025, and finds nearly 70 related domains for future tracking. blogs.infoblox.com/threat-in…
We’re a week out from #AgentsInProduction 2025!
I’ll be speaking on the AI Workforce track about
“Deploying AI Agents for Scalable Immigration Automation.”
Register: home.mlops.community/public/…
@mlopscommunity @prosus @demetriosbrinkmann
#AI #MLOps #Automation #AIWorkforce
Check out my latest article: The Evolution and Battle of Open vs. Closed AI Models: Beyond Imagination and Into Reality linkedin.com/posts/washingto…
@dr.nerd retweeted
💡David Tag from @LinkedIn reveals how they built their first production AI agent for hiring using LangChain and LangGraph. Learn the technical architecture behind LinkedIn Hiring Assistant and the framework that scaled AI development across 20+ teams.
Watch the full session here: youtu.be/NmblVxyBhi8/?utm_me…
Catch up on all the talks from Interrupt: interrupt.langchain.com/vide…
@dr.nerd retweeted
A complete roadmap to learn how to build AI Agents:
1. Build a strong foundation in Python
2. Learn how to work with RESTful APIs
3. Understand how Large Language Models work
4. Get familiar with the OpenAI API
5. Understand how vector databases work
6. Learn how to create and retrieve embeddings
7. Learn about caching and persistent memory using databases
8. Learn to build APIs with Flask or FastAPI
9. Master prompt engineering techniques
10. Study how to build RAG applications
11. Explore agentic frameworks (LangChain, LangGraph)
12. Learn how to connect agents with external tools (MCP)
13. Learn how to containerize and deploy agents with Docker
14. Understand how to limit agent behavior
15. Learn how to implement safety guardrails
For those of you who are looking to learn how to build agents, check out the "AI Agents with LangChain and LangGraph" course on Udacity.
(I pasted the link in a reply to this post so I don't get throttled.)
This is a course that focuses on the core ideas of building agents. The final lesson of the class is a project where you'll build a complete agent.
This course will take you one weekend of work, and will teach you what's probably the hottest skill in the market right now.
Since Studio Ghibli ilitokea kwa mlipuko wa AI art, kila mtu sasa anataka kuwa cartoon. Ukiangalia timeline ni kama umeingia anime convention ya Nairobi—watu wamegeuka characters straight outta a Miyazaki fever dream.
But let’s be real… some folks still maintain their unique facial features—ile charm ya uso wa kawaida, raw and untouched by filters. The AI tried its best, lakini kuna sura hazigeuki Totoro no matter how much you upscale.
@dr.nerd retweeted
Sadly, they ignore even when someone reaches out to help. On 21st of May 2024, I bumped into a bug that can allow someone to fake a transaction into the eCitizen. A search led me to the domain admin where I reported the bug but they’ve never responded.
@dr.nerd retweeted
4 months of training (7,500 Ksh per month) + 2 months internship.
Registration ends soon.
Become a world-class AI Engineer, Data Analyst, Data Scientist, Analytics, or Data Engineer in 2025 by joining our 6 months intensive hands on training program.
4 months of training (7,500 Ksh per month) + 2 months internship.
Register here, forms.gle/vXYwE4Vw4TG9v6Xr8
@dr.nerd retweeted
At @LuxDevHQ,
Feel free to stop by for more information about the course and to undergo an in-person skills assessment. 🚀
Contact: 0798166628 | [email protected]
