@soynayensy:

Lukita_Solorzano🐉

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Sunday 10 May 2026 15:09:51 GMT

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COACH-MENDOZA :

wow en la mañana me desperté pensando en uno de sus videos del tiempo del covid 😳

2026-05-10 15:22:53

16

Marks Suri :

mueva la cabeza 🥺🥺

2026-05-13 05:02:08

4

Julio Villanueva :

muy linda saludos

2026-07-07 23:20:44

1

Wilfrido Espinosa hernandez :

❤️❤️❤️🥰🥰🥰

2026-05-15 01:50:19

0

keyt :

sus ojos pues 😁😁 y ella es una diosa 😌👌👌

2026-05-12 03:24:34

3

luis :

2026-05-10 15:35:09

2

LOBO SOLITARIO :

esa sonrisa y esa mirada ,enamoran bb

2026-05-13 12:45:19

4

jose :

2026-05-12 23:07:06

1

rodrigoma993 :

merlina

2026-06-21 21:44:05

0

Edwin 🚜💪 :

saludos desde bolivia 🇧🇴

2026-05-10 15:15:09

0

jorge.el canserbero2024 :

yano as mostrado mas con tenido

2026-05-13 20:29:10

1

Carlos Osorio3583 :

vendeme

2026-07-23 21:09:57

0

HjoseCM :

el pelo negro te queda perfecto

2026-05-10 20:17:11

1

LUIS 🧃 :

2026-05-10 15:26:35

1

Jefry_Torres💙 :

te🥰

2026-05-15 04:30:22

1

marioespinosa152 :

hola hermosa 😘😘😘😘😘

2026-07-01 23:46:55

0

Jose Espinoza Castil :

hey

2026-07-02 19:09:23

0

Victor El bonby :

heeee y regreso huuuuuy siii

2026-07-13 12:06:08

0

marchindarks :

me saludas , soy boliviano

2026-05-10 15:13:12

0

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The AI engineering roadmap for mid-level SWEs in 2026 👇 Save this. Your next $50K-$100k raise depends on it. 🧱 FOUNDATION (Week 1–2) • You already know APIs, Docker, and databases. That’s your edge. Use it. • Now learn how LLMs actually work: tokens, context windows, temperature, embeddings • Call the OpenAI / Anthropic API directly. No frameworks. Raw API only. • Understand what makes a prompt fail at scale, not just in a demo ⚙️ RAG SYSTEMS (Month 1–2) • Build a RAG pipeline from scratch, no LangChain yet • Learn chunking strategies: size, overlap, semantic splitting • Vector databases: Pinecone, pgvector, Weaviate. Know the tradeoffs. • MMR retrieval, hybrid search, reranking. This is what separates juniors from seniors. ⚠️ Most engineers can build RAG. Few can explain why it’s failing. Be the second type. 🤖 AI AGENTS (Month 2–3) • Build your first agent using a ReAct loop from primitives, not a framework • Tool use + function calling under the hood • Multi-agent orchestration: LangGraph, CrewAI • Memory architectures: short-term, long-term, episodic • MCP (Model Context Protocol). Every serious team is adopting this now. ⚠️ Don’t touch LangGraph until you’ve built a loop manually. Or you’ll debug blindly forever. 📊 LLMOps + EVALUATION (Month 3–4) • LLM-as-judge evaluation: how do you actually know if it’s working? • RAGAS + golden test sets for RAG evaluation • Observability: Langfuse or Helicone. Version your prompts like you version code. • Hallucination detection. This is what enterprises pay senior comp for. ⚠️ Evaluation is the #1 skill gap in mid-level AI engineering interviews. Most candidates have zero. 🗂️ PORTFOLIO + INTERVIEW PREP (Month 4–5) • 3 production-grade projects beat 10 tutorial projects every time • AI system design interviews: RAG architecture, agent design, latency tradeoffs • Learn to frame your SWE background as an asset, not a liability • Apply with a portfolio that shows you can ship, not just learn ⚠️ You don’t need a math PhD. You need proof you can build production systems. #aiengineer #softwareengineer #codingprojects #techjobs #aiagents

The AI engineering roadmap for mid-level SWEs in 2026 👇 Save this. Your next $50K-$100k raise depends on it. 🧱 FOUNDATION (Week 1–2) • You already know APIs, Docker, and databases. That’s your edge. Use it. • Now learn how LLMs actually work: tokens, context windows, temperature, embeddings • Call the OpenAI / Anthropic API directly. No frameworks. Raw API only. • Understand what makes a prompt fail at scale, not just in a demo ⚙️ RAG SYSTEMS (Month 1–2) • Build a RAG pipeline from scratch, no LangChain yet • Learn chunking strategies: size, overlap, semantic splitting • Vector databases: Pinecone, pgvector, Weaviate. Know the tradeoffs. • MMR retrieval, hybrid search, reranking. This is what separates juniors from seniors. ⚠️ Most engineers can build RAG. Few can explain why it’s failing. Be the second type. 🤖 AI AGENTS (Month 2–3) • Build your first agent using a ReAct loop from primitives, not a framework • Tool use + function calling under the hood • Multi-agent orchestration: LangGraph, CrewAI • Memory architectures: short-term, long-term, episodic • MCP (Model Context Protocol). Every serious team is adopting this now. ⚠️ Don’t touch LangGraph until you’ve built a loop manually. Or you’ll debug blindly forever. 📊 LLMOps + EVALUATION (Month 3–4) • LLM-as-judge evaluation: how do you actually know if it’s working? • RAGAS + golden test sets for RAG evaluation • Observability: Langfuse or Helicone. Version your prompts like you version code. • Hallucination detection. This is what enterprises pay senior comp for. ⚠️ Evaluation is the #1 skill gap in mid-level AI engineering interviews. Most candidates have zero. 🗂️ PORTFOLIO + INTERVIEW PREP (Month 4–5) • 3 production-grade projects beat 10 tutorial projects every time • AI system design interviews: RAG architecture, agent design, latency tradeoffs • Learn to frame your SWE background as an asset, not a liability • Apply with a portfolio that shows you can ship, not just learn ⚠️ You don’t need a math PhD. You need proof you can build production systems. #aiengineer #softwareengineer #codingprojects #techjobs #aiagents

I thought this scratch was permanent. Someone actually scraped my car. No repaint. No tools. I wiped it once and halfway through the scratch was already gone. Watch closely. #carscratch #cardetailing #beforeafter #satisfying #tiktokmademebuyit

I thought this scratch was permanent. Someone actually scraped my car. No repaint. No tools. I wiped it once and halfway through the scratch was already gone. Watch closely. #carscratch #cardetailing #beforeafter #satisfying #tiktokmademebuyit

#mayviadaihoc. Wave trắng vỉa à. #xuhuong #baovietnamf#fvt

#mayviadaihoc. Wave trắng vỉa à. #xuhuong #baovietnamf#fvt

#bts_official_bighit #jungkook #taehyung #viral #taekook taekookedit jungkookedit taehyungedit

#bts_official_bighit #jungkook #taehyung #viral #taekook taekookedit jungkookedit taehyungedit

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