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hydralgorithm/README.md
Typing Header

Building at the intersection of cloud infrastructure, ML, and full-stack development.

👨‍💻 About Me

I'm a Computer Science student at MIT Bengaluru (3rd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.

  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com

🚀 Featured Projects

ProjectDescriptionStack
🥉 CloudSeerAI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams.Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScanPneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy.Python, TensorFlow, FastAPI
🔒 SecureFlowReal-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections.TypeScript
⚙️ modelServe_LiteLightweight framework for deploying ML models as production REST APIs.Python, FastAPI

🛠️ Tech Stack

Tech Stack

📊 GitHub Stats

GitHub Streak

"Ship it. Then make it better."

Pinned Loading

  1. CloudSeerCloudSeerPublic

    🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript

  2. PneumoScanPneumoScanPublic

    Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript

  3. SecureFlowSecureFlowPublic

    Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript

  4. modelServe_LitemodelServe_LitePublic

    Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML

  5. CSE_mit_labCSE_mit_labPublic

    A comprehensive collection of my Computer Science Engineering (CSE) lab work, assignments, and practice files throughout my undergraduate journey at Manipal Institute of Technology (MIT), Bengaluru.

    Jupyter Notebook 1

  6. awesome-exam-skillsawesome-exam-skillsPublic

    A curated collection of Claude skills for exam preparation and academic intelligence.

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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hydralgorithm/README.md
Typing Header
Building at the intersection of cloud infrastructure, ML, and full-stack development.
👨‍💻 About Me
I'm a Computer Science student at MIT Bengaluru (3rd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.
  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com
🚀 Featured Projects
ProjectDescriptionStack
🥉 CloudSeerAI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams.Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScanPneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy.Python, TensorFlow, FastAPI
🔒 SecureFlowReal-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections.TypeScript
⚙️ modelServe_LiteLightweight framework for deploying ML models as production REST APIs.Python, FastAPI
🛠️ Tech Stack
Tech Stack
📊 GitHub Stats
GitHub Streak
"Ship it. Then make it better."

Pinned
Loading
  1. CloudSeerCloudSeerPublic
    
🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript
  2. PneumoScanPneumoScanPublic
    
Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript
  3. SecureFlowSecureFlowPublic
    
Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript
  4. modelServe_LitemodelServe_LitePublic
    
Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML
  5. CSE_mit_labCSE_mit_labPublic
    
A comprehensive collection of my Computer Science Engineering (CSE) lab work, assignments, and practice files throughout my undergraduate journey at Manipal Institute of Technology (MIT), Bengaluru.

    Jupyter Notebook
1

  6. awesome-exam-skillsawesome-exam-skillsPublic
    
A curated collection of Claude skills for exam preparation and academic intelligence.


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
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color-scheme: dark light;
}
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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🎯
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 · 9
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw
Highlights
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Pro


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hydralgorithm/README.md
Typing Header
Building at the intersection of cloud infrastructure, ML, and full-stack development.
👨‍💻 About Me
I'm a Computer Science student at MIT Bengaluru (3rd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.
  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com
🚀 Featured Projects
ProjectDescriptionStack
🥉 CloudSeerAI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams.Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScanPneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy.Python, TensorFlow, FastAPI
🔒 SecureFlowReal-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections.TypeScript
⚙️ modelServe_LiteLightweight framework for deploying ML models as production REST APIs.Python, FastAPI
🛠️ Tech Stack
Tech Stack
📊 GitHub Stats
GitHub Streak
"Ship it. Then make it better."

Pinned
Loading
  1. CloudSeerCloudSeerPublic
    
🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript
  2. PneumoScanPneumoScanPublic
    
Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript
  3. SecureFlowSecureFlowPublic
    
Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript
  4. modelServe_LitemodelServe_LitePublic
    
Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML
  5. CSE_mit_labCSE_mit_labPublic
    
A comprehensive collection of my Computer Science Engineering (CSE) lab work, assignments, and practice files throughout my undergraduate journey at Manipal Institute of Technology (MIT), Bengaluru.

    Jupyter Notebook
1

  6. awesome-exam-skillsawesome-exam-skillsPublic
    
A curated collection of Claude skills for exam preparation and academic intelligence.


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
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style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
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Array.from(node.childNodes).forEach(highlight);
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}
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highlight(document.body);
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mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
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observer.observe(document.body, { childList: true, subtree: true });
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}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View hydralgorithm's full-sized avatar
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Focusing
🎯
Focusing
7
followers
 · 9
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw
Highlights
  • 
Pro


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hydralgorithm/README.md
Typing Header
Building at the intersection of cloud infrastructure, ML, and full-stack development.
👨‍💻 About Me
I'm a Computer Science student at MIT Bengaluru (3rd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.
  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com
🚀 Featured Projects
ProjectDescriptionStack
🥉 CloudSeerAI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams.Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScanPneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy.Python, TensorFlow, FastAPI
🔒 SecureFlowReal-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections.TypeScript
⚙️ modelServe_LiteLightweight framework for deploying ML models as production REST APIs.Python, FastAPI
🛠️ Tech Stack
Tech Stack
📊 GitHub Stats
GitHub Streak
"Ship it. Then make it better."

Pinned
Loading
  1. CloudSeerCloudSeerPublic
    
🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript
  2. PneumoScanPneumoScanPublic
    
Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript
  3. SecureFlowSecureFlowPublic
    
Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript
  4. modelServe_LitemodelServe_LitePublic
    
Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML
  5. CSE_mit_labCSE_mit_labPublic
    
A comprehensive collection of my Computer Science Engineering (CSE) lab work, assignments, and practice files throughout my undergraduate journey at Manipal Institute of Technology (MIT), Bengaluru.

    Jupyter Notebook
1

  6. awesome-exam-skillsawesome-exam-skillsPublic
    
A curated collection of Claude skills for exam preparation and academic intelligence.


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
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return changed ? u.toString() : url;
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return url;
}
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function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
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if (clean !== a.href) a.href = clean;
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}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
View hydralgorithm's full-sized avatar
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🎯
Focusing
7
followers
 · 9
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw
Highlights
  • 
Pro


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hydralgorithm/README.md
Typing Header
Building at the intersection of cloud infrastructure, ML, and full-stack development.
👨‍💻 About Me
I'm a Computer Science student at MIT Bengaluru (3rd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.
  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com
🚀 Featured Projects
ProjectDescriptionStack
🥉 CloudSeerAI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams.Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScanPneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy.Python, TensorFlow, FastAPI
🔒 SecureFlowReal-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections.TypeScript
⚙️ modelServe_LiteLightweight framework for deploying ML models as production REST APIs.Python, FastAPI
🛠️ Tech Stack
Tech Stack
📊 GitHub Stats
GitHub Streak
"Ship it. Then make it better."

Pinned
Loading
  1. CloudSeerCloudSeerPublic
    
🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript
  2. PneumoScanPneumoScanPublic
    
Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript
  3. SecureFlowSecureFlowPublic
    
Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript
  4. modelServe_LitemodelServe_LitePublic
    
Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML
  5. CSE_mit_labCSE_mit_labPublic
    
A comprehensive collection of my Computer Science Engineering (CSE) lab work, assignments, and practice files throughout my undergraduate journey at Manipal Institute of Technology (MIT), Bengaluru.

    Jupyter Notebook
1

  6. awesome-exam-skillsawesome-exam-skillsPublic
    
A curated collection of Claude skills for exam preparation and academic intelligence.


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
View hydralgorithm's full-sized avatar
🎯
Focusing
🎯
Focusing
7
followers
 · 9
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw
Highlights
  • 
Pro


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hydralgorithm/README.md
Typing Header
Building at the intersection of cloud infrastructure, ML, and full-stack development.
👨‍💻 About Me
I'm a Computer Science student at MIT Bengaluru (3rd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.
  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com
🚀 Featured Projects
ProjectDescriptionStack
🥉 CloudSeerAI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams.Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScanPneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy.Python, TensorFlow, FastAPI
🔒 SecureFlowReal-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections.TypeScript
⚙️ modelServe_LiteLightweight framework for deploying ML models as production REST APIs.Python, FastAPI
🛠️ Tech Stack
Tech Stack
📊 GitHub Stats
GitHub Streak
"Ship it. Then make it better."

Pinned
Loading
  1. CloudSeerCloudSeerPublic
    
🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript
  2. PneumoScanPneumoScanPublic
    
Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript
  3. SecureFlowSecureFlowPublic
    
Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript
  4. modelServe_LitemodelServe_LitePublic
    
Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML
  5. CSE_mit_labCSE_mit_labPublic
    
A comprehensive collection of my Computer Science Engineering (CSE) lab work, assignments, and practice files throughout my undergraduate journey at Manipal Institute of Technology (MIT), Bengaluru.

    Jupyter Notebook
1

  6. awesome-exam-skillsawesome-exam-skillsPublic
    
A curated collection of Claude skills for exam preparation and academic intelligence.


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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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hydralgorithm/README.md
Typing Header
Building at the intersection of cloud infrastructure, ML, and full-stack development.
👨‍💻 About Me
I'm a Computer Science student at MIT Bengaluru (3rd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.
  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com
🚀 Featured Projects
ProjectDescriptionStack
🥉 CloudSeerAI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams.Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScanPneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy.Python, TensorFlow, FastAPI
🔒 SecureFlowReal-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections.TypeScript
⚙️ modelServe_LiteLightweight framework for deploying ML models as production REST APIs.Python, FastAPI
🛠️ Tech Stack
Tech Stack
📊 GitHub Stats
GitHub Streak
"Ship it. Then make it better."

Pinned
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  1. CloudSeerCloudSeerPublic
    
🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript
  2. PneumoScanPneumoScanPublic
    
Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript
  3. SecureFlowSecureFlowPublic
    
Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript
  4. modelServe_LitemodelServe_LitePublic
    
Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML
  5. CSE_mit_labCSE_mit_labPublic
    
A comprehensive collection of my Computer Science Engineering (CSE) lab work, assignments, and practice files throughout my undergraduate journey at Manipal Institute of Technology (MIT), Bengaluru.

    Jupyter Notebook
1

  6. awesome-exam-skillsawesome-exam-skillsPublic
    
A curated collection of Claude skills for exam preparation and academic intelligence.


, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
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var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
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html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
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[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
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if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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View hydralgorithm's full-sized avatar
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Focusing
🎯
Focusing
7
followers
 · 9
following

Achievements
Achievement: Pull SharkAchievement: Quickdraw
Achievements
Achievement: Pull SharkAchievement: Quickdraw
Highlights
  • 
Pro


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hydralgorithm/README.md
Typing Header
Building at the intersection of cloud infrastructure, ML, and full-stack development.
👨‍💻 About Me
I'm a Computer Science student at MIT Bengaluru (3rd semester) who builds real things under hackathon pressure. My focus is cloud infrastructure, ML engineering, and full-stack development — I ship first, refine later.
  • 🫁 Built PneumoScan — pneumonia detection with EfficientNetB3 + GradCAM + CURB-65 clinical scoring
  • ☁️ Interested in AWS, anomaly detection, and MLOps pipelines
  • 🔨 Currently building: SplitSnap (React Native fintech app)
  • 💬 Ask me about: Python, ML model deployment, cloud cost optimization
  • 📫 Reach me at: hydralgorithm@gmail.com
🚀 Featured Projects
ProjectDescriptionStack
🥉 CloudSeerAI-driven cloud cost intelligence — anomaly detection, spend forecasting, 1-click remediation. 3rd/80+ teams.Python, AWS CloudWatch, Prophet, LOF
🫁 PneumoScanPneumonia detection from chest X-rays. EfficientNetB3, GradCAM explainability, CURB-65 severity scoring. 81% accuracy.Python, TensorFlow, FastAPI
🔒 SecureFlowReal-time UPI fraud prevention — 6 behavioral rules, 40+ scam keyword detections.TypeScript
⚙️ modelServe_LiteLightweight framework for deploying ML models as production REST APIs.Python, FastAPI
🛠️ Tech Stack
Tech Stack
📊 GitHub Stats
GitHub Streak
"Ship it. Then make it better."

Pinned
Loading
  1. CloudSeerCloudSeerPublic
    
🥉 3rd Place Winner @ MIT BLR TechSolstice Hackathon. CloudSeer is an AI-driven cloud cost intelligence platform that detects AWS anomalies, forecasts spend, and triggers 1-click auto-remediation.

    JavaScript
  2. PneumoScanPneumoScanPublic
    
Pneumonia detection web app using EfficientNetB3 + GradCAM explainability and CURB-65 clinical severity scoring. 81% accuracy on chest X-ray dataset.

    TypeScript
  3. SecureFlowSecureFlowPublic
    
Real-time UPI fraud prevention system that scores every transaction before confirmation using 6 behavioral rules and 40+ scam keyword detections. Applies calibrated friction — safe payments flow in…

    TypeScript
  4. modelServe_LitemodelServe_LitePublic
    
Lightweight framework for deploying ML models as production-ready REST APIs using FastAPI. Supports model versioning, health checks, and inference endpoints.

    HTML
  5. CSE_mit_labCSE_mit_labPublic
    
A comprehensive collection of my Computer Science Engineering (CSE) lab work, assignments, and practice files throughout my undergraduate journey at Manipal Institute of Technology (MIT), Bengaluru.

    Jupyter Notebook
1

  6. awesome-exam-skillsawesome-exam-skillsPublic
    
A curated collection of Claude skills for exam preparation and academic intelligence.