“
PLACEHOLDER · paste real testimonial copy here. The 2–3 sentences a reader sent that explain how Teachix helped — exam pass, concept finally clicking, landing a role, etc.
PR
Notes from a lecturer
who kept writing.
Teachix started as classroom notes shared so students wouldn't have to scrape them off blackboards. Years later it's a publication covering Snowflake, data engineering, AI, and the CS fundamentals underneath — written by one engineer and reviewed by working professionals.
Origin
How Teachix got here.
Four phases. None of them planned.
Early 2019
A lecturer with a whiteboard problem
Abhay was teaching CS subjects — data structures, computer organization, software engineering. Students kept asking for the notes after class. Photocopying didn't scale.
Late 2019
Notes go online as Teachics
A simple WordPress site with cleaned-up versions of the lecture notes. Free to read, organized by subject, indexable by Google. Then COVID hit — campus shut down, and overnight Teachics became the de-facto course material for students across the university. Traffic kept growing after lockdowns ended.
2021 → 2025
Slow expansion beyond the syllabus
Abhay moved from lecturing into data engineering full-time. The site grew with him — first more CS depth (microprocessors, sensors, software engineering), then early data topics: SQL patterns, warehousing basics, the kind of thing you only learn after shipping a few pipelines.
2026
Rebrand to Teachix · new tracks
Teachics becomes Teachix. The CS archive stays. New tracks open: Snowflake certifications (starting with SnowPro Core 50 Days), data engineering, AI fundamentals. Written from production experience, not from a course outline.
Founder
Who writes this.
One person on the byline. Working engineer, former lecturer.
From the classroom
Abhay started out lecturing CS subjects — DSA, computer organization, software engineering, microprocessors. Teaching the same material across semesters has a way of forcing precision: students don't accept hand-waving, and a vague answer in class is a confused answer on the exam.
That habit — explaining things until they're actually clear — is what carries through to everything published on Teachix.
To the pipelines
Today Abhay works as a Data & AI Consultant with 5+ years on real production systems: large-scale data migrations, warehouse modernization, AI/analytics pipelines, and the unglamorous plumbing in between.
The site reflects that combination — concepts taught the way a lecturer would, with code and trade-offs that only show up once you've shipped something.
Certifications
Industries
Project experience across:
Telecom
Insurance
SaaS
Finance
Acknowledgements
Teachix has never really been a one-person project.
One byline doesn't tell the full story. Over the years, dozens of people have shaped what Teachix is today — students who copy-edited typos and asked the questions that turned vague notes into clear lessons, fellow lecturers who reviewed drafts and pushed back when something was wrong, working engineers who shared production stories and corrected blog posts, and readers who shared posts when nobody else was watching.
And the people who weren't writing code or notes at all but were quietly behind every late night — friends who listened to half-formed ideas, family who put up with the obsession, and the people who walked alongside at different points and gave the encouragement that kept it going when it would've been easier to stop. You know who you are.
None of this happens in a vacuum. If you've ever sent a correction, asked a question, recommended Teachics to a junior, or just stayed on a page long enough for it to feel worth writing — thank you. The site exists because you do.
students
fellow lecturers
draft reviewers
guest contributors
readers who shared
corrections-senders
early subscribers
friends & family
quiet supporters
with gratitude, Abhay
teachix · 2026
Principles
What we believe.
Four rules the writing answers to. If a draft fails any of them, it doesn't ship.
P/01
Write from production, not slides.
Every concept gets paired with code, queries, or trade-offs that come from real systems. If the author hasn't used it, the post doesn't get written.
P/02
Show the working.
Snippets that actually run. Diagrams of what's happening underneath. Side-by-side wrong-vs-right examples. The kind of explanation a lecturer owes their class.
P/03
Free for fundamentals.
Core CS, certification roadmaps, and concept explainers stay free forever. Paywalls belong on deep-dive workshops, not on Day 1 of a 50-day series.
P/04
Human-written, AI-augmented.
AI helps with grammar, structure, and example coverage. It doesn't replace experience. Every post is authored, reviewed, and signed by a person who's used the tech.
Coverage
The stack we cover.
Tools and topics with active or planned writing on Teachix.
Data Platform
- Snowflake
- Databricks
- BigQuery
- dbt
- Airflow
Cloud
- AWS
- Azure
- GCP (intro)
- Terraform
Languages
- SQL
- Python
- PySpark
- Bash
AI & CS
- LLM fundamentals
- RAG & embeddings
- DSA
- System design
- Computer organization
Reader voices
From people who learned here.
A few notes from readers and students. Got something to share?
“
PLACEHOLDER · second real testimonial. A line about the CS archive being clearer than course material, or the SnowPro series being practical, etc.
SM
+
Learned something here?
Tell us what worked. Two sentences is plenty. We'll feature good ones (with your permission).
Community
Where we are right now.
Numbers as of . Updated quarterly.
159
Posts published
50
SnowPro days shipping
10k
Active users / mo
04
Active tracks
No fake press logos here. As real mentions and features come in, this is where they'll go.
Contribute
Help us write more, better.
Teachix is a one-person publication that doesn't want to stay that way. If any of the below sounds like you, we want to hear from you.
Open
2–4 hrs / week
Guest writer
Got a Snowflake / DE / AI topic you've shipped and want to publish under your byline? Pitch a draft outline. We co-edit; you keep authorship.
Pitch a post →
Open
~1 hr / review
Technical reviewer
Working data engineer, ML engineer, or SRE willing to read pre-publish drafts for accuracy. Credit on every post you review.
Join reviewers →
Open
variable
Lab & exercise author
Help us turn concepts into hands-on labs and practice questions. Especially for SnowPro and AI tracks.
Build a lab →
Open
flexible
Translator
Native speaker willing to translate select lessons to your language. We're starting with high-traffic CS posts.
Translate posts →
Contact
Get in touch.
Three ways. Pick what's easiest for you.
Email
[email protected]
→
LinkedIn
/in/ab-krishnan
↗
GitHub
/abhay-k
↗
Response time
~ 2 business days
● typical
Or send a message.
For collab pitches, corrections, sponsorship questions, or anything else.