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        <title>Dhruvkumar Patel</title>
        <link>https://stackdhruv.com/</link>
        <description>The personal portfolio of Dhruvkumar Patel — Data Scientist Intern at Myntra, Graduate Researcher at IIIT Delhi's MIDAS Lab, with expertise in machine learning, multimodal AI, and full-stack development.</description>
        <lastBuildDate>Tue, 12 May 2026 17:20:37 GMT</lastBuildDate>
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        <copyright>All rights reserved 2026, Dhruvkumar Patel</copyright>
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            <title><![CDATA[Build Process: Advanced ANPR & Face Recognition for KAVACH-23]]></title>
            <link>https://stackdhruv.com/blog/advanced-anpr-details</link>
            <guid>https://stackdhruv.com/blog/advanced-anpr-details</guid>
            <pubDate>Wed, 21 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[A behind-the-scenes look at our national finalist project for the KAVACH-23 Cybersecurity Hackathon, covering data collection with local police, developing a high-accuracy YOLOv8 model, and building a cross-platform mobile app.]]></description>
            <category>Computer Vision</category>
            <category>PyTorch</category>
            <category>YOLO</category>
            <category>React Native</category>
            <category>Hackathon</category>
            <category>ANPR</category>
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            <title><![CDATA[Building Idempotent Feature Pipelines in Databricks]]></title>
            <link>https://stackdhruv.com/blog/databricks-idempotent-pipelines</link>
            <guid>https://stackdhruv.com/blog/databricks-idempotent-pipelines</guid>
            <pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[A practical pattern for snapshot-based, idempotent feature pipelines in Databricks — how to structure Delta tables so reruns never corrupt your training data.]]></description>
            <category>Databricks</category>
            <category>PySpark</category>
            <category>Delta Lake</category>
            <category>ML Engineering</category>
            <category>Feature Pipelines</category>
            <category>MLOps</category>
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            <title><![CDATA[Benchmarking the Death Star: A Deep Dive into Microservices Performance]]></title>
            <link>https://stackdhruv.com/blog/deathstar-benchmark</link>
            <guid>https://stackdhruv.com/blog/deathstar-benchmark</guid>
            <pubDate>Sat, 24 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[An inside look at our course project where we deployed, benchmarked, and monitored a complex microservices application on Docker Swarm and Kubernetes to understand real-world performance trade-offs.]]></description>
            <category>Microservices</category>
            <category>Kubernetes</category>
            <category>Docker</category>
            <category>Prometheus</category>
            <category>GKE</category>
            <category>Observability</category>
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            <title><![CDATA[From Chaos to Centralized: The Story of Drive Material LDRP]]></title>
            <link>https://stackdhruv.com/blog/driver-material-ldrp</link>
            <guid>https://stackdhruv.com/blog/driver-material-ldrp</guid>
            <pubDate>Thu, 22 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[How a simple hobby project to organize scattered class notes became an essential tool for thousands of students, achieving over 3,000 visits in its first week and a top Google ranking.]]></description>
            <category>Web Development</category>
            <category>Hobby Project</category>
            <category>SEO</category>
            <category>Problem Solving</category>
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            <title><![CDATA[MCP Agents for ML Experiment Automation: A Practical Pattern]]></title>
            <link>https://stackdhruv.com/blog/mcp-agents-ml-automation</link>
            <guid>https://stackdhruv.com/blog/mcp-agents-ml-automation</guid>
            <pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate>
            <description><![CDATA[How to use Model Context Protocol (MCP) agents to automate ML experiment workflows across Databricks, GitHub, and Grafana — turning repetitive experiment cycles into a single prompt.]]></description>
            <category>MCP</category>
            <category>Agents</category>
            <category>MLOps</category>
            <category>Databricks</category>
            <category>Automation</category>
            <category>ML Engineering</category>
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            <title><![CDATA[Classifying Mental Health in Memes: A Multimodal Approach]]></title>
            <link>https://stackdhruv.com/blog/mental-health-meme-classification</link>
            <guid>https://stackdhruv.com/blog/mental-health-meme-classification</guid>
            <pubDate>Fri, 23 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[A deep dive into our NLP course project where we used Vision-Language Models to classify signs of anxiety and depression in internet memes, blending humor with serious analysis.]]></description>
            <category>NLP</category>
            <category>Multimodal AI</category>
            <category>PyTorch</category>
            <category>Hugging Face</category>
            <category>Mental Health</category>
            <category>Streamlit</category>
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            <title><![CDATA[Build Process: Student Dropout Analysis]]></title>
            <link>https://stackdhruv.com/blog/student-dropout-analysis</link>
            <guid>https://stackdhruv.com/blog/student-dropout-analysis</guid>
            <pubDate>Tue, 20 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[A detailed breakdown of our award-winning project at the SSIP-22 State Level Hackathon, from data collection and dashboarding to predictive modeling and an IEEE publication.]]></description>
            <category>Python</category>
            <category>Machine Learning</category>
            <category>Data Visualization</category>
            <category>Hackathon</category>
            <category>IEEE</category>
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