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anishsingh20/README.md

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Hi I'm Anish Singh Walia

git commit -am "Hello, I'm an AI enthusiast, with over 6+ years of experience as a Cloud Consultant@ American Express India and SRE(DevOps)@ Nutanix and 7+ years of experience as a freelance Technical writer & digital content creator"

(Share your knowledge. It is a way to achieve immortality)

- Dalai Lama

Helping AI-native companies get found in Google, AI search, and social | Technical Content Strategist & Team Lead @ DOCN


Who is Anish Singh Walia?

Most AI-native companies publish content. Very few actually get found. I fix that.

I’m Anish Singh Walia, Sr Technical Content Strategist and Team Lead at DigitalOcean, where I write infra and deep AI Inference tutorials that take developers and AI-native Enterprises from idea to production on our AI-native cloud.

With 7+ years of experience working with AI‑native and top-tier cloud companies as an SRE in the DevOps team at NTNX, a cloud consultant for AMEX, and currently a technical content lead at DOCN, I ensure the code, architectures, and AI workflows I document actually ship to production and are discoverable in modern search.

What I bring that most content strategists don't: A technical foundation. Before I was a technical content strategist, I was an SRE at Nutanix and a Cloud infrastructure consultant for AMEX. I understand your product, your architecture, and your technical buyer, which means the content I create doesn't just rank, it resonates with the people who actually make purchasing decisions.

What I do:

  1. Build full-funnel content strategies optimized for SEO, AI search visibility (GEO), and social distribution(Reddit, Quora and LinkedIn).
  2. Lead and mentor content teams to produce technically accurate, high-quality output at scale.
  3. Create content briefs, editorial automation systems, and SEO frameworks that compound over time.
  4. Partner with AI-native companies as a fractional content lead or strategic advisor.

My track record:

  1. 3+ years at DigitalOcean, owning and scaling a core Infra and now deep AI Inference content program.
  2. Medium publication with 3,000,000+ average monthly readers
  3. Deep expertise with Semrush, Profound, Ahrefs, DataForSEO, GSC, and AI search monitoring tools.

Who I work with: AI-native startups and companies that need a content partner who understands the technical product and knows how to make it visible in the new search landscape, Google, AI Overviews, LLM citations, and social.

You are a fit if: → Your content isn't showing up in AI-generated answers or Google's AI Overviews. → You're publishing but not seeing organic growth or leads. → You need someone technical enough to understand your product and strategic enough to market it.

Work samples & writing: ✍️ Medium: https://medium.com/@anishsingh20 💻 GitHub: https://github.com/anishsingh20

I am a quick learner who values a growth mindset, effective communication, synergy(interdependence), teamwork, and the Founder's Mentality. I actively seek opportunities to contribute my skills and drive innovation in a dynamic organization.

  • 👨‍💻 More about me is at My Website

  • 📝 I often write articles on AI and ML , Data science and Analytics, Cloud, DevOps, Troubleshooting issues, Linux storage and networking Break-fix, containers, docker, k8s, and much more.


        $ kubectl get all -n anish
        ----------------------------------------
        NAME         |    STATUS     |     AGE
        ----------------------------------------
        Data-Nerd         Running         7 years
        CX                Running         5 years
        Troubleshoot      Running         6 year
        Linux             Running         9 years
        Blogging          Running         9 years
        Virtualization    Running         8 years
        Bash/shell        Running         9 years
        R-scripting       Running         5 years

    
  • 🏋🏻‍♂️ Are you a fitness freak, especially calisthenics? Me too !. When I am not working, you can find me in the gym or outdoors running and doing anything which involves engaging your mind and body.

  • 📫 How to reach me waliaanish1997@gmail.com

  • 📄 Know about my work & experiences @ My Resume


My core values and my Niche

DigitalOcean HM INTERVIEW (1) | DigitalOcean HM INTERVIEW (4) | writer1


My featured projects:question::rocket:

Personal ChatGPT Bot for MAC Power of AI Statistical Analysis Using R LLaMa-2 WebApp chatBot in Python using Streamlit Programming in CPP COVID-19 India Tracker in R Real-time COVID-19 worldwide tracker in R

Learning k8s for CKA Statistical Learning using R Playing with Ansible AWK Programming

And many more on my profile. Make sure to check the repositories section on my Github Profile.


Wanna see my blogs:question::fire:

Data InkSights Blog GeeksForGeeks DataSciencePlus Medium RPubs .NEXT Nutanix LinkTree


Feel free to reach out to me if ?::cyclone:

git commit -am "Almost everything about Cloud, DevOps, Linux, Data Science, Machine learning & AI, R programming language, Troubleshooting, Technical Writing & GitHub!" 😁

Connect with me:

anish-singh-walia cali_br20 @waliamrinal https://www.youtube.com/channel/uclrar1q9dkbmiueg4w6mjlw https://auth.geeksforgeeks.org/user/mrinalwalia/

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  1. Personal-ChatGPT-Bot-For-Mac Personal-ChatGPT-Bot-For-Mac Public

    Create and deploy your own chatGPT bot written in Python using the ChatGPT API, LongChain and a few lines of code

    Python 5

  2. Power-of-AI Power-of-AI Public

    This repository contains useful tools to maximise your day to day productivity using AI and latest tools available in the market

    40 5

  3. Statistical-Learning-using-R Statistical-Learning-using-R Public

    This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports…

    R 33 25

  4. legaltech-rag-agent legaltech-rag-agent Public

    Python 3

  5. serverless-inference-tail-latency-study serverless-inference-tail-latency-study Public

    Reproducible tail-latency study of four models on DigitalOcean Serverless Inference: single-call percentiles vs measured 10-call agent chains, with raw data, harness, and charts (July 27, 2026 run)

    Python 1

  6. continuous-vs-static-batching continuous-vs-static-batching Public

    Reproducible continuous vs gated (static-style) batching study on a DigitalOcean H200 GPU Droplet with vLLM: TTFT, mid-stream freezes, chunked-prefill toggle, raw JSON, harness, and charts (August …

    Python 1