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    <title>DEV Community: Tamesh Bhave</title>
    <description>The latest articles on DEV Community by Tamesh Bhave (@tameshbhave1).</description>
    <link>https://dev.to/tameshbhave1</link>
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      <title>DEV Community: Tamesh Bhave</title>
      <link>https://dev.to/tameshbhave1</link>
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    <item>
      <title>The Compound Interest of Code</title>
      <dc:creator>Tamesh Bhave</dc:creator>
      <pubDate>Sun, 01 Nov 2026 03:38:44 +0000</pubDate>
      <link>https://dev.to/tameshbhave1/the-compound-interest-of-code-301o</link>
      <guid>https://dev.to/tameshbhave1/the-compound-interest-of-code-301o</guid>
      <description>&lt;p&gt;Hit my LeetCode 50-Day Badge for 2025 (135 total solved in Python3). Daily problem-solving builds the algorithmic muscle memory required for highly scalable backend architectures. Consistency compounds.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Ff9w9peyajg7kp4gpd4o4.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Ff9w9peyajg7kp4gpd4o4.png" alt=" " width="800" height="450"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>algorithms</category>
      <category>python</category>
      <category>leetcode</category>
      <category>coding</category>
    </item>
    <item>
      <title>The Architecture of Focus</title>
      <dc:creator>Tamesh Bhave</dc:creator>
      <pubDate>Wed, 21 Oct 2026 17:56:01 +0000</pubDate>
      <link>https://dev.to/tameshbhave1/the-architecture-of-focus-4f6k</link>
      <guid>https://dev.to/tameshbhave1/the-architecture-of-focus-4f6k</guid>
      <description>&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fwwiscxppl6r0rzukw2ww.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fwwiscxppl6r0rzukw2ww.jpg" alt=" " width="800" height="289"&gt;&lt;/a&gt;&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fxlt27bce0gjyyocsyl6c.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fxlt27bce0gjyyocsyl6c.jpg" alt=" " width="800" height="281"&gt;&lt;/a&gt;&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fyn422vsj3xv103k9x5v7.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fyn422vsj3xv103k9x5v7.jpg" alt=" " width="799" height="266"&gt;&lt;/a&gt;There is no method for producing deep work through deceptive means. I utilize precisely timed Pomodoro intervals of 90-120 minutes in creating back-end systems for artificial intelligence. According to my data analysis, I achieve up to 400 minutes of uninterrupted work. Writing code is just step number one.&lt;/p&gt;

</description>
      <category>productivity</category>
      <category>deepwork</category>
      <category>software</category>
      <category>career</category>
    </item>
    <item>
      <title>Engineering Meets Startups</title>
      <dc:creator>Tamesh Bhave</dc:creator>
      <pubDate>Sun, 18 Oct 2026 04:20:00 +0000</pubDate>
      <link>https://dev.to/tameshbhave1/engineering-meets-startups-3ne9</link>
      <guid>https://dev.to/tameshbhave1/engineering-meets-startups-3ne9</guid>
      <description>&lt;p&gt;One year as a founding technology member of our entrepreneurial club. I created interfaces for the hackathon, collaborated on running events, and heard about startup user acquisition. Clean code must have a product-oriented mindset.&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fo8z4qx5u3fa6bc35rer5.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fo8z4qx5u3fa6bc35rer5.jpg" alt=" " width="480" height="338"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>startup</category>
      <category>career</category>
      <category>developer</category>
      <category>leadership</category>
    </item>
    <item>
      <title>Zero-Latency Motion Tracking with OpenCV</title>
      <dc:creator>Tamesh Bhave</dc:creator>
      <pubDate>Fri, 16 Oct 2026 03:17:44 +0000</pubDate>
      <link>https://dev.to/tameshbhave1/zero-latency-motion-tracking-with-opencv-2p9</link>
      <guid>https://dev.to/tameshbhave1/zero-latency-motion-tracking-with-opencv-2p9</guid>
      <description>&lt;p&gt;Heavy machine learning models don't work everywhere, especially not on the edge where computing power is not as good. I have recently developed a simple and fast working procedure to achieve motion tracking in real time with raw Python and OpenCV.&lt;/p&gt;

&lt;p&gt;The steps would involve grabbing frame by frame and calculating the absolute difference which is then blurred to reduce noise. The limitation is to set the contour area threshold to 9200 pixels which allows the software output spot the legitimate movement.&lt;/p&gt;

&lt;p&gt;No API calls used. No excess work done. Only pure and fast execution.&lt;/p&gt;

&lt;p&gt;Back to the code.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fwxflihp6wqfss67nbm66.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fwxflihp6wqfss67nbm66.png" alt=" " width="800" height="450"&gt;&lt;/a&gt;&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F6889zcpme9waauezgxv4.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F6889zcpme9waauezgxv4.jpg" alt=" " width="799" height="422"&gt;&lt;/a&gt;&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Flwfl4bi9n09sexs8byiy.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Flwfl4bi9n09sexs8byiy.jpg" alt=" " width="800" height="436"&gt;&lt;/a&gt;&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fxluqr3gkzote88affms3.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2Fxluqr3gkzote88affms3.jpg" alt=" " width="799" height="422"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>python</category>
      <category>computervision</category>
      <category>edgecomputing</category>
      <category>opencv</category>
    </item>
    <item>
      <title>10 Months Shipping AI in Production</title>
      <dc:creator>Tamesh Bhave</dc:creator>
      <pubDate>Wed, 14 Oct 2026 09:28:58 +0000</pubDate>
      <link>https://dev.to/tameshbhave1/10-months-shipping-ai-in-production-3b25</link>
      <guid>https://dev.to/tameshbhave1/10-months-shipping-ai-in-production-3b25</guid>
      <description>&lt;p&gt;10 months shipping AI at Techvance done. Built custom ML bots for production with Scikit-learn &amp;amp; Gradio. Biggest lesson: clean code means nothing if it can't survive real-world deployment constraints. Back to FastAPI &amp;amp; OpenCV builds.&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F2qofsfsbz2m1mv6tcmkm.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Farticles%2F2qofsfsbz2m1mv6tcmkm.jpg" alt=" " width="480" height="677"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>programming</category>
      <category>webdev</category>
      <category>python</category>
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