// PRODUCTION DEPLOYMENTS & ARCHITECTURAL CASE STUDIES · SECTION 04

Flagship Systems & Production Impact

Technical architecture breakdowns of production systems, projects, and repositories this candidate has attached to their dossier.

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SYSTEM 01 // PROJECTRole: FEATURED PROJECT

AgniDrishti – Geospatial Fire Detection & Monitoring System

Developed FastAPI backend service with WebSocket-based real-time updates for the frontend dashboard. Built a supervised ML classification pipeline using satellite-derived data to classify observations as non-fire, fire, or fire-like, evaluated using precision, recall, and F1-score.

TechnologyPython
StackFastAPI
PlatformPostgreSQL
Metric 01—Pending
Metric 02—Pending
Metric 03—Pending
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SYSTEM 02 // PROJECTRole: FEATURED PROJECT

KIIT Katalog – Performance Optimization

Optimized Next.js data-fetching and Server Component architecture, reducing network requests by up to 56.5% and API requests by up to 74.6%. Eliminated redundant client-side API calls and N+1 fetching patterns, reducing Papers page requests from 92 to 40 and API requests from 67 to 17.

TechnologyNext.js
StackTypeScript
PlatformServer Components
Outcomereducing network requests by up to 56.5% and API requests by up to 74.6%; reducing Papers page requests from 92 to 40 and API requests from 67 to 17Self-reported
Metric 02—Pending
Metric 03—Pending
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SYSTEM 03 // PROJECTRole: FEATURED PROJECT

VedaAI – AI Assessment Generation Platform

Engineered an AI assessment platform using Redis and BullMQ to process concurrent LLM requests asynchronously. Designed REST APIs for authentication, assignment management, and AI-powered assessment generation using OpenRouter.

TechnologyNext.js
StackTypeScript
PlatformNode.js
Metric 01—Pending
Metric 02—Pending
Metric 03—Pending
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SYSTEM 04 // PROJECTRole: FEATURED PROJECT

Football Match Outcome Prediction System

Processed 49,000+ match records and engineered features including Elo ratings and team performance statistics to predict international football match outcomes. Trained Logistic Regression, Random Forest, and XGBoost models, with XGBoost achieving the strongest performance, and deployed predictions through FastAPI.

TechnologyPython
StackScikit-learn
PlatformXGBoost
OutcomeProcessed 49,000+ match recordsSelf-reported
Metric 02—Pending
Metric 03—Pending
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SYSTEM 05 // PROJECTRole: FEATURED PROJECT

Football Match Predictor

ML-powered football match prediction system using historical data and team statistics.

TechnologyPython
StackXGBoost
PlatformFastAPI
Metric 01—Pending
Metric 02—Pending
Metric 03—Pending
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SYSTEM 06 // PROJECTRole: FEATURED PROJECT

VedaAI - AI Assessment Generator

AI-powered assessment generation platform for creating intelligent evaluations.

TechnologyNext.js
StackNode.js
PlatformExpress.js
Metric 01—Pending
Metric 02—Pending
Metric 03—Pending
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