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STEM with Murad 🇪🇹

STEM with Murad 🇪🇹

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Welcome to STEM with Murad! This is your one-stop destination for all things related to Science, Technology, Engineering, and Mathematics (STEM). I will share updates and insights from the exciting world of STEM. You'll also get a sneak peek into my works

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📈 Analytical overview of Telegram channel STEM with Murad 🇪🇹

Channel STEM with Murad 🇪🇹 (@stemwithmurad) in the Amharic language segment is an active participant. Currently, the community unites 15 181 subscribers, ranking 13 046 in the Education category and 2 230 in the Ethiopia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 181 subscribers.

According to the latest data from 31 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 217 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 44.50%. Within the first 24 hours after publication, content typically collects 23.49% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 6 755 views. Within the first day, a publication typically gains 3 566 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 13.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Welcome to STEM with Murad! This is your one-stop destination for all things related to Science, Technology, Engineering, and Mathematics (STEM). I will share updates and insights from the exciting world of STEM. You'll also get a sneak peek into my ...

Thanks to the high frequency of updates (latest data received on 01 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

15 181
Subscribers
+624 hours
-97 days
+21730 days
Posts Archive
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ስለ ኤጀንቲክ ኤአይም አስተምራለሁ ብሏል'ኮ ጀለስ!

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😂

OpenAI is terminating its partnership with Cursor…
OpenAI is terminating its partnership with Cursor…

The General Presidency for the Two Holy Mosques and MiSK Foundation have opened the 6th "Think for the Two Holy Mosques" prog
The General Presidency for the Two Holy Mosques and MiSK Foundation have opened the 6th "Think for the Two Holy Mosques" program. Young innovators can submit ideas on AI, guidance, and visitor experience for Masjid al-Haram and Masjid an-Nabawi. The top 3 winning ideas get cash prizes. Deadline to apply: September 16, 2026.

Understanding the Architecture Behind a Production-Grade RAG System Building an AI application is not just about choosing an
Understanding the Architecture Behind a Production-Grade RAG System Building an AI application is not just about choosing an LLM or implementing RAG. The real challenge is designing how different components work together reliably. Here’s the architecture I’ve been working with: 🔹 React/Vite → Frontend 🔹 FastAPI → API layer, authentication & business logic 🔹 Redis + Celery → Background processing for heavy tasks like PDF parsing and embedding generation 🔹 PostgreSQL → Stores user authentication data, knowledge-base metadata, document information and query/response history. 🔹 ChromaDB → Vector storage for document embeddings 🔹 OpenTelemetry + Jaeger → Distributed tracing & observability One important design decision was moving heavy PDF processing and embedding generation to background Celery workers, keeping the API responsive. I’ve also been focusing heavily on observability and latency optimization, because in real-world AI systems, knowing why a request is slow is just as important as making it fast. This architecture helped me understand an important lesson: A production AI system is much more than an LLM — it’s an entire distributed system working together. Still learning, optimizing, and improving. 🚀 #AIEngineering #GenerativeAI #RAG #LLM #Python #FastAPI #Celery #Redis #OpenTelemetry #MachineLearning

የባዮሎጂ መምህሬ የላከችውን ሚሴጅ አያችሁ⁉️ https://lnkd.in/p/exgRCmDK አል-ሐምዱ ሊላህ‼ በነገራችን ላይ በወቅቱ የሸለመችኝ ገንዘብ ሳይሆን አጋዥ መጽሐፍ ነው። ግን እኔ የማየው በዚያ በትንሽ ደመወዛቸው ከወጪዋ ቀንሳ፣ አስባ፣ እኔን ለመሸለም ያወጣችውን ገንዘብና ከጀርባው ያለውን ቀና እሳቤ ነው። አላህ ምንዳዋን ይክፈላት።

Keep ur mouth shut🤐
Keep ur mouth shut🤐

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✅ Coding is getting easier. ❌ But engineering is getting harder. AI can write the code. It can’t automatically make the right
✅ Coding is getting easier. ❌ But engineering is getting harder. AI can write the code. It can’t automatically make the right engineering decisions. Architecture, scalability, debugging, trade-offs, security, and understanding the actual problem still matter. Don’t confuse writing code with being an engineer.

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ተጠቀሙበት፣ እንዳያልፋችሁ። መረጃ ከፈለጋችሁ ንገሩኝ፣ እነግራችኋለሁ። የአርቲፊሻል ኢንተለጀንስ ኢንስቲትዩት፣ አዲስ አበባ ዩኒቨርሲቲ እና የተባበሩት መንግስታት የልማት ፕሮግራም በጋራ ባቋቋሙት የA
ተጠቀሙበት፣ እንዳያልፋችሁ። መረጃ ከፈለጋችሁ ንገሩኝ፣ እነግራችኋለሁ። የአርቲፊሻል ኢንተለጀንስ ኢንስቲትዩት፣ አዲስ አበባ ዩኒቨርሲቲ እና የተባበሩት መንግስታት የልማት ፕሮግራም በጋራ ባቋቋሙት የAI UniPod የ10 ቀናት የግብርና Collaborative AI Studio Challenge ተዘጋጅቷል፡፡ ይህ ጥሪ የፈጠራ ባለሙያዎች፣ ተመራማሪዎች እና ስታርታፖች የኢትዮጵያን ግብርና በሰው ሰራሽ አስተውሎት መፍትሄዎች እንዲያሻሽሉ የሚጋብዝ ነው። ተሳታፊዎች የ10 ቀን በአካል የሚሰጥ ስልጠና፣ የሽልማት ዕድል፣ የስታርታፕ ማዕከል መቀላቀል እና ከባለሙያዎች ጋር የመተዋወቅ ዕድል ያገኛሉ። የማመልከቻ ጊዜ ይህ ማስታወቂያ ከወጣበት ዕለት ጀምሮ ለ አንድ ሳምንት !

እስኪ! ሌሎች ተሞክሯችሁን አጋሩኝ። ቴክኖሎጂ ተማሩ ብዬ መለፍለፍ ከጀመርኩ ከ4 ተከታታይ አመታት በላይ አለፉ። ሃሳቡ ገዝቷችሁ ወደ ቴክኖሎጂው ዓለም የገባችሁ ስንቶች ናችሁ? እስኪ ገጠመኛችሁንና ታ
እስኪ! ሌሎች ተሞክሯችሁን አጋሩኝ። ቴክኖሎጂ ተማሩ ብዬ መለፍለፍ ከጀመርኩ ከ4 ተከታታይ አመታት በላይ አለፉ። ሃሳቡ ገዝቷችሁ ወደ ቴክኖሎጂው ዓለም የገባችሁ ስንቶች ናችሁ? እስኪ ገጠመኛችሁንና ታሪካችሁን አካፍሉኝ። ለሌሎች መማሪያ ሰበብ ይሆናል።

የሁለተኛ ደረጃ ትምህርት ማጠናቀቂያ ፈተና ውጤትን ተፈታኞች ከምሽቱ 1 ሰዓት ጀምሮ ማየት ይችላሉ AMN- ረቢዕ አልአወል 12/1448 ዓ.ሂ. የ2018 ትምህርት ዘመን የኢትዮጵያ ሁለተኛ ደረጃ ትምህርት ማጠናቀቂያ ፈተና ውጤት የሚገለጽባቸውን ማስፈንጠሪያዎች የትምህርት ምዘናና ፈተናዎች አገልግሎት ይፋ አድርጓል፡፡ የሁለተኛ ደረጃ ትምህርት ማጠናቀቂያ ፈተና ውጤትን ተፈታኞች ከምሽቱ 1፡00 ሰዓት ጀምረው የሚከተሉትን አማራጭ ማስፈንጠሪያዎችን በመጠቀም ውጤታቸውን ማየት የሚችሉ መሆኑን አገልግሎቱ አስታውቋል፡፡ በተያያዘም ተፈታኞች ቅሬታ ሲኖራቸው በአካል መምጣት ሳያስፈልግ https://result.eaes.et/complaint የሚለውን ማስፈንጠሪያ በመጠቀም ቅሬታቸውን ማቅረብና ምላሹንም በተመሳሳይ ማስፈንጠሪያ በኩል መከታተል እንደሚችሉ ተገልጿል፡፡ ውጤት የሚገለጽባቸው ማስፈንጠሪያዎች፡- በድረ ገጽ ፡ https://result.eaes.et፣ ቴሌግራም፡ https://result.eaes.et/telegram፣ አጭር የጽሑፍ መልዕክት፡ https://result.eaes.et/sms መሆኑን የትምህርት ምዘናና ፈተናዎች አገልግሎት መረጃ ያመላክታል፡፡

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