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amah_codes

amah_codes Add us as a preferred source on Google

Mastodon @amah_codes@techhub.social
⚔ Compare ☆ Follow Own this channel?
🔄 Data last refreshed 2 days ago
Followers
11
Account age
0 yrs
🎁 Free analysisfor amah_codes
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

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

Recent posts · likes + reposts
Feb 16latest
3
Avg engagement / post
2–5
Typical post (engagement)
27.3%
Engagement vs followers
81/100
Very consistent reach
Feb 2026
On Mastodon since
Half of recent posts land between 2 and 5 likes + reposts (median 4) — a dependable floor a sponsored post can count on.

🔥 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 31 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗
🔥 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.

📸 Gallery

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 🧠 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 retrieval flexibility. Here's why the technical decisions matter: -**Gained exposure to various vector databases including pgvector, sqlitesearch, and minsearch 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 🛠️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 investment paid off. The pipeline itself brings together three main components: a knowledge base search index, a prompt that includes user input plus retrieved 🎉 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 failu ⚡️ 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 handle late-arriving data (up to 5 sec delays tolerated) - Time-based windows: Session (5-min gaps) & Tumbling (hourly buckets) - SQL in Python for DDL & aggrega

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

RobW RobW 18% Business Excellence Institute Business Excellence Institute 18% Dr. Baba Kofi Weusijana Dr. Baba Kofi Weusijana 18% Dave Klem Dave Klem 15% Carlo Giuliano Carlo Giuliano 11% Gizchina Ukraine Gizchina Ukraine 11%

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