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amah_codes

amah_codes

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Followers
11
Account age
0 yrs
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Known for

Tinkering with Pi in Docker – it’s surprisingly fun to build with your own agent!
This past month I've been diving head first into using a agentic coding harness and it's been a lot of fun! I decided to go trying out #pi from pi.dev for several reasons:
- I like the philosophy of building a coding agent the way *you* want it. Plus I love customization! 😁 
- As a fellow tinkerer and builder I reall5 views Tinkering with Pi in Docker – it’s surprisingly fun to build with your own agent! This past month I've been diving head first into using a agentic coding harness and it's been a lot of fun! I decided to go trying out #pi from pi.dev for several reasons: - I like the philosophy of building a coding agent the way *you* want it. Plus I love customization! 😁 - As a fellow tinkerer and builder I reall Module 1 of LLM Zoomcamp is done! 🎉  
I turned my original RAG pipeline into an Agent!
I spent these last few days diving deep into Agentic RAG. It's been fascinating to build it step by step. Every time I ask the LLM to learn about something new, I see how it naturally figures out which tools to use, when to search, and how many times to gather info before giving me a solid answer.
What exactly i5 views Module 1 of LLM Zoomcamp is done! 🎉 I turned my original RAG pipeline into an Agent! I spent these last few days diving deep into Agentic RAG. It's been fascinating to build it step by step. Every time I ask the LLM to learn about something new, I see how it naturally figures out which tools to use, when to search, and how many times to gather info before giving me a solid answer. What exactly i 🎉 Milestone Unlocked: Finished the Data Engineering Zoomcamp!
In 10 weeks, I moved from scripting to architecting systems. We built real production-grade infrastructure using Spark, Kafka, Airflow, and Kestra—not just hobby projects.
Capstone: A Storage Hard Drive Dashboard using real failure data from Backblaze
Stack: Terraform + Docker infra, Airflow orchestration, dbt modeling, Streamlit viz.
K5 views 🎉 Milestone Unlocked: Finished the Data Engineering Zoomcamp! In 10 weeks, I moved from scripting to architecting systems. We built real production-grade infrastructure using Spark, Kafka, Airflow, and Kestra—not just hobby projects. Capstone: A Storage Hard Drive Dashboard using real failure data from Backblaze Stack: Terraform + Docker infra, Airflow orchestration, dbt modeling, Streamlit viz. K End-to-End Storage Drive Analytics Platform Complete! 🚀
Spent the past weeks on my Data Engineering Zoomcamp final project. Excited to share an end-to-end platform analyzing Backblaze hard drive data to bridge enterprise telemetry and consumer accessibility.
The pipeline ingests daily SMART snapshots into GCS, builds a star schema with dbt, and serves insights via Streamlit dashboard showing failu5 views End-to-End Storage Drive Analytics Platform Complete! 🚀 Spent the past weeks on my Data Engineering Zoomcamp final project. Excited to share an end-to-end platform analyzing Backblaze hard drive data to bridge enterprise telemetry and consumer accessibility. The pipeline ingests daily SMART snapshots into GCS, builds a star schema with dbt, and serves insights via Streamlit dashboard showing failu

📊 Post engagement

3
Avg engagement / post
27.3%
Engagement vs followers
Feb 2026
On Mastodon since

🔥 Top post: Tinkering with Pi in Docker – it’s surprisingly fun to build wit · 5 likes + reposts

📊 Activity & format

Posting cadence
0.55 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 5 text · 7 image · 0 video.
Follower / following
0.4×
Follows 29 back. A more reciprocal / networked account.
🔥 Top post Tinkering with Pi in Docker – it’s surprisingly fun to build with your own agent! This past month I've been diving head first into using a agentic coding harness and it's been a lot of fun! I decided to go trying out #pi from pi.dev for several reasons: - I like the philosophy o… ★ 5
🧠 From Simple Indexing to Semantic Understanding: Why I Layered Both Approaches Finishing LLM Zoomcamp Module 2 felt like leveling up my RAG system. I was already doing agentic RAG in Module 1, but vector search opened a whole new layer of… ★ 2 Module 1 of LLM Zoomcamp is done! 🎉 I turned my original RAG pipeline into an Agent! I spent these last few days diving deep into Agentic RAG. It's been fascinating to build it step by step. Every time I ask the LLM to learn about someth… ★ 5 🛠️I spent 10 hours last week mapping out a RAG pipeline. Three things became clear: Week 1 of building this from scratch was intense but rewarding. I wanted to understand how the pieces fit together before jumping into implementation. That… ★ 4 🚀Super excited to start the LLM Zoomcamp 2026 Course by DataTalksClub next week on June 8th! For some time, I've been a casual user of LLM systems—consuming AI tools but never really understanding how they work under the hood. Now, that's … ★ 2 Hi Local AI enthusiasts! Just wanted to share a neat discovery I made while experimenting with local AI setups. I’ve been a long time user of the Obsidian note taking app and recently discovered this Co-pilot plugin, it’s pretty cool! It l… ★ 4 🎉 Milestone Unlocked: Finished the Data Engineering Zoomcamp! In 10 weeks, I moved from scripting to architecting systems. We built real production-grade infrastructure using Spark, Kafka, Airflow, and Kestra—not just hobby projects. Capst… ★ 5 End-to-End Storage Drive Analytics Platform Complete! 🚀 Spent the past weeks on my Data Engineering Zoomcamp final project. Excited to share an end-to-end platform analyzing Backblaze hard drive data to bridge enterprise telemetry and cons… ★ 5 ⚡️ Week 7 Complete! Streaming with PyFlink Module 7 was an eye-opener compared to batch processing. Huge thanks for such an engaging course DataTalksClub! 🔍 Key Takeaways - Set up Kafka/Redpanda with real-time taxi trip data - Watermarks … ★ 2 Diving deep into Spark batch processing!⚡️ Learned how to: ✅ Optimize data pipelines with filtering, repartitioning & grouping ✅ Design efficient ETL pipelines with Spark ✅ Understanding when and how to use partitioning strategies ✅ Use Go… Just completed a project building an end-to-end data pipeline for NYC taxi data using dlt 🚕📊! What a ride! 😅 The REST API extraction was particularly fun (in a challenging way) but dlt's modular design made it manageable. Here’s what I lea… ★ 1 Just finished Analytics Engineering with dbt in @DataTalksClub's free course – a deep dive into building data pipelines for analytics. 🚀 Key learnings: ✅️ Built transformation models with dbt from raw CSV/Parquet files in Google Cloud Stor… ★ 3

🐘 Community & instance

Home server
techhub.social
A tech server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
On Mastodon since
Feb 2026
An established account with real history on the platform.

💡 Facts

🗓️Joined Mastodon in 2026.
👁️Averages 3 views per post.
📤Posts about 0.6× per week.

🕵️ Fake follower check

Estimated
69/100
Good Credibility score
92%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 92% real, active audience · Low fake-follower risk.
  • Strong engagement (~0.3× of followers engage each post) — an active, real audience.

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Hello, 🌎! I'm Amah! A tech enthusiast learning about data engineering, data analytics, and other interesting technology. Follow me on my journey where I am constantly learning, one day at a time.

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