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    <title>DEV Community: Vinayak Garg</title>
    <description>The latest articles on DEV Community by Vinayak Garg (@vinugarg2005cell).</description>
    <link>https://dev.to/vinugarg2005cell</link>
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      <title>DEV Community: Vinayak Garg</title>
      <link>https://dev.to/vinugarg2005cell</link>
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      <title>Hey DEV, I'm Vinayak — a CSE student who got tired of stopping at the notebook</title>
      <dc:creator>Vinayak Garg</dc:creator>
      <pubDate>Wed, 09 Sep 2026 20:52:26 +0000</pubDate>
      <link>https://dev.to/vinugarg2005cell/hey-dev-im-vinayak-a-cse-student-who-got-tired-of-stopping-at-the-notebook-1e98</link>
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      <description>&lt;p&gt;Hey DEV &lt;/p&gt;

&lt;p&gt;I'm Vinayak, a CSE undergrad from Delhi. I've been building ML projects for a while now, and I finally made an account here because I want to start writing down what I'm learning instead of letting it disappear into a folder called stuff.&lt;/p&gt;

&lt;p&gt;What I actually work on&lt;/p&gt;

&lt;p&gt;Most of my time goes into machine learning and, lately, GenAI. But the part I've gotten weirdly attached to is everything after the model works:&lt;/p&gt;

&lt;p&gt;Getting a .ipynb into a FastAPI endpoint that doesn't fall over&lt;br&gt;
Docker, AWS EC2, GitHub Actions CI/CD&lt;br&gt;
MLflow and DVC, so I can actually tell which experiment produced which model&lt;/p&gt;

&lt;p&gt;The projects I've shipped end to end so far: a network intrusion detection system (F1 = 0.991), a customer churn model, and a student performance predictor. During a 2-month internship I also built a LangGraph-based WhatsApp campaign bot and a multi-tenant RAG chatbot with Qdrant and Groq.&lt;/p&gt;

&lt;p&gt;Somewhere in between all this I'm also grinding DSA in Python, which is a very different kind of pain and probably deserves its own post.&lt;/p&gt;

&lt;p&gt;Why I'm here&lt;/p&gt;

&lt;p&gt;Every single one of those projects had a moment where I was stuck for hours on something that turned out to be small. A Docker layer caching my old model. A vector store returning results from the wrong tenant. A LangGraph node silently swallowing an exception.&lt;/p&gt;

&lt;p&gt;Those moments never make it into tutorials. Tutorials show you the happy path. I want to write about the other one.&lt;/p&gt;

&lt;p&gt;So the plan is simple: when I break something and fix it, I'll write down what broke, what I thought was wrong, and what was actually wrong. If it saves one person a Saturday, good enough.&lt;/p&gt;

&lt;p&gt;What's coming&lt;/p&gt;

&lt;p&gt;A few things already on my list:&lt;/p&gt;

&lt;p&gt;Deploying an ML model to EC2 with GitHub Actions, and the IAM/ECR mistakes I made&lt;br&gt;
Multi-tenancy in a RAG pipeline, and why naive filtering isn't enough&lt;br&gt;
MLflow + DagsHub setup that actually stays reproducible&lt;/p&gt;

&lt;p&gt;If any of those sound useful, or if you think I'm approaching something wrong, tell me. I'd rather be corrected in the comments than in an interview.&lt;/p&gt;

&lt;p&gt;Happy to connect: &lt;br&gt;
&lt;a href="https://github.com/vinugarg2005-cell" rel="noopener noreferrer"&gt;https://github.com/vinugarg2005-cell&lt;/a&gt; · &lt;a href="https://www.linkedin.com/in/vinayak-garg-901b28322/" rel="noopener noreferrer"&gt;https://www.linkedin.com/in/vinayak-garg-901b28322/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;See you around &lt;/p&gt;

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      <category>machinelearning</category>
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