bender/1b9a009a-5b83-4b5e-a1d1-3ac07265f14d
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Merge version_1 into main #2

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bender merged 2 commits from version_1 into main 2026-03-12 06:04:17 +00:00
Conversation 0 Commits 2 Files Changed 2 +42 -48
2 changed files with 42 additions and 48 deletions
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22
src/app/page.tsx
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@@ -20,7 +20,7 @@ export default function LandingPage() {
borderRadius="soft"
contentWidth="mediumSmall"
sizing="largeSmallSizeMediumTitles"
background="noise"
background="circleGradient"
cardStyle="glass-elevated"
primaryButtonStyle="primary-glow"
secondaryButtonStyle="radial-glow"
@@ -42,7 +42,7 @@ export default function LandingPage() {
<HeroCentered
title="Yuvraj Reddy Alimineti"
description="Building scalable data pipelines and AI-powered analytics systems. Data Engineer | Machine Learning Developer"
background={{ variant: "noise" }}
background={{ variant: "sparkles-gradient" }}
avatars={[{
src: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/abstract-3d-particle-network-visualizati-1773295364861-1aea7af9.png", alt: "3D particle network visualization"
}]}
@@ -80,7 +80,7 @@ export default function LandingPage() {
{
id: 1,
title: "Programming & Databases", description: "Python, SQL, JavaScript, SAS with expertise in Apache Spark for distributed computing and data processing at scale", phoneOne: {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/python-programming-language-icon-clean-m-1773295364599-d245e9b1.png?_wi=1", imageAlt: "Python programming language icon"
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/python-programming-language-icon-clean-m-1773295364599-d245e9b1.png", imageAlt: "Python programming language icon"
},
phoneTwo: {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/sql-database-icon-with-table-and-query-s-1773295364850-ac9b0256.png", imageAlt: "SQL database icon"
@@ -101,16 +101,16 @@ export default function LandingPage() {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/tensorflow-machine-learning-framework-ic-1773295364546-ae941490.png", imageAlt: "TensorFlow machine learning framework icon"
},
phoneTwo: {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/react-javascript-library-icon-with-compo-1773295364212-1479cd27.png?_wi=1", imageAlt: "React JavaScript library icon"
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/react-javascript-library-icon-with-compo-1773295364212-1479cd27.png", imageAlt: "React JavaScript library icon"
}
},
{
id: 4,
title: "Web & Full Stack", description: "React, Next.js, Express.js, Pandas, NumPy for building modern web applications and data science workflows", phoneOne: {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/react-javascript-library-icon-with-compo-1773295364212-1479cd27.png?_wi=2", imageAlt: "React JavaScript library icon"
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/react-javascript-library-icon-with-compo-1773295364212-1479cd27.png", imageAlt: "React JavaScript library icon"
},
phoneTwo: {
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/python-programming-language-icon-clean-m-1773295364599-d245e9b1.png?_wi=2", imageAlt: "Python programming language icon"
imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/python-programming-language-icon-clean-m-1773295364599-d245e9b1.png", imageAlt: "Python programming language icon"
}
}
]}
@@ -133,10 +133,10 @@ export default function LandingPage() {
animationType="slide-up"
blogs={[
{
id: "1", category: "Data Engineering", title: "Data Engineering Intern", excerpt: "Built and optimized ETL pipelines using Microsoft Fabric and Azure Data Factory. Integrated datasets into OneLake and created Power BI semantic models. Improved pipeline performance by 35% through optimization techniques.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/modern-data-pipeline-dashboard-with-colo-1773295366417-e08aedfa.png?_wi=1", imageAlt: "Data pipeline optimization dashboard", authorName: "ElitCeler Technologies Pvt Ltd", authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/modern-data-pipeline-dashboard-with-colo-1773295366417-e08aedfa.png", date: "Jan 2025 – Jun 2025"
id: "1", category: "Data Engineering", title: "Data Engineering Intern", excerpt: "Built and optimized ETL pipelines using Microsoft Fabric and Azure Data Factory. Integrated datasets into OneLake and created Power BI semantic models. Improved pipeline performance by 35% through optimization techniques.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/modern-data-pipeline-dashboard-with-colo-1773295366417-e08aedfa.png", imageAlt: "Data pipeline optimization dashboard", authorName: "ElitCeler Technologies Pvt Ltd", authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/modern-data-pipeline-dashboard-with-colo-1773295366417-e08aedfa.png", date: "Jan 2025 – Jun 2025"
},
{
id: "2", category: "Machine Learning", title: "Machine Learning Projects", excerpt: "Developed and deployed machine learning models for real-world applications. Experience with neural networks, deep learning, and AI-powered solutions for data-driven decision making.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/molecular-structure-visualization-with-g-1773295366007-01f1dd8e.png?_wi=1", imageAlt: "Molecular graph neural network", authorName: "Personal Research", authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/molecular-structure-visualization-with-g-1773295366007-01f1dd8e.png", date: "Ongoing"
id: "2", category: "Machine Learning", title: "Machine Learning Projects", excerpt: "Developed and deployed machine learning models for real-world applications. Experience with neural networks, deep learning, and AI-powered solutions for data-driven decision making.", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/molecular-structure-visualization-with-g-1773295366007-01f1dd8e.png", imageAlt: "Molecular graph neural network", authorName: "Personal Research", authorAvatar: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/molecular-structure-visualization-with-g-1773295366007-01f1dd8e.png", date: "Ongoing"
}
]}
carouselMode="buttons"
@@ -156,13 +156,13 @@ export default function LandingPage() {
gridVariant="two-columns-alternating-heights"
products={[
{
id: "1", name: "Real-Time Data Pipeline Optimization", price: "Enterprise Scale", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/modern-data-pipeline-dashboard-with-colo-1773295366417-e08aedfa.png?_wi=2", imageAlt: "Data pipeline dashboard"
id: "1", name: "Real-Time Data Pipeline Optimization", price: "Enterprise Scale", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/modern-data-pipeline-dashboard-with-colo-1773295366417-e08aedfa.png", imageAlt: "Data pipeline dashboard"
},
{
id: "2", name: "SMI-GNN Drug Interaction Prediction", price: "Research Focus", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/molecular-structure-visualization-with-g-1773295366007-01f1dd8e.png?_wi=2", imageAlt: "Molecular graph neural network"
id: "2", name: "SMI-GNN Drug Interaction Prediction", price: "Research Focus", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/molecular-structure-visualization-with-g-1773295366007-01f1dd8e.png", imageAlt: "Molecular graph neural network"
},
{
id: "3", name: "Advanced Analytics Dashboard", price: "Production Ready", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/modern-data-pipeline-dashboard-with-colo-1773295366417-e08aedfa.png?_wi=3", imageAlt: "Analytics dashboard interface"
id: "3", name: "Advanced Analytics Dashboard", price: "Production Ready", imageSrc: "https://webuild-dev.s3.eu-north-1.amazonaws.com/users/user_3AphEdZwP4PlHv0KCb4JmqyDqxO/modern-data-pipeline-dashboard-with-colo-1773295366417-e08aedfa.png", imageAlt: "Analytics dashboard interface"
}
]}
ariaLabel="Projects section"

68
src/components/shared/SvgTextLogo/SvgTextLogo.tsx
View File

@@ -1,51 +1,45 @@
"use client";
import { memo } from "react";
import useSvgTextLogo from "./useSvgTextLogo";
import { cls } from "@/lib/utils";
import React from 'react';
interface SvgTextLogoProps {
logoText: string;
adjustHeightFactor?: number;
verticalAlign?: "top" | "center";
text: string;
className?: string;
fontSize?: number;
fontWeight?: number | string;
fill?: string;
textAnchor?: 'start' | 'middle' | 'end';
dominantBaseline?: 'auto' | 'text-bottom' | 'alphabetic' | 'ideographic' | 'central' | 'hanging' | 'text-top';
}
const SvgTextLogo = memo<SvgTextLogoProps>(function SvgTextLogo({
logoText,
adjustHeightFactor,
verticalAlign = "top",
className = "",
}) {
const { svgRef, textRef, viewBox, aspectRatio } = useSvgTextLogo(logoText, false, adjustHeightFactor);
const SvgTextLogo: React.FC<SvgTextLogoProps> = ({
text,
className = '',
fontSize = 24,
fontWeight = 700,
fill = 'currentColor',
textAnchor = 'middle',
dominantBaseline = 'central',
}) => {
return (
<svg
ref={svgRef}
viewBox={viewBox}
className={cls("w-full", className)}
style={{ aspectRatio: aspectRatio }}
preserveAspectRatio="none"
role="img"
aria-label={`${logoText} logo`}
viewBox={`0 0 ${Math.max(text.length * fontSize * 0.6, 100)} ${fontSize * 1.5}`}
width="100%"
height="100%"
className={className}
xmlns="http://www.w3.org/2000/svg"
>
<text
ref={textRef}
x="0"
y={verticalAlign === "center" ? "50%" : "0"}
className="font-bold fill-current"
style={{
fontSize: "20px",
letterSpacing: "-0.02em",
dominantBaseline: verticalAlign === "center" ? "middle" : "text-before-edge"
}}
x="50%"
y="50%"
fontSize={fontSize}
fontWeight={fontWeight}
fill={fill}
textAnchor={textAnchor}
dominantBaseline={dominantBaseline}
>
{logoText}
{text}
</text>
</svg>
);
});
};
SvgTextLogo.displayName = "SvgTextLogo";
export default SvgTextLogo;
export default SvgTextLogo;