CASE STUDIES

Selected Portfolio

Real products, real automation, real business results. Explore the custom setups we engineered for our clients.

LHSS Collective

Editorial & Student Publishing Platform

Unified editorial workflow & publication showcase

Background & Problem:

A student-led publishing team struggled to manage article submissions, keep track of upcoming events, organize editorial board profiles, and maintain a high-readability digital format.

Our Solution:

Engineered a modern news-style editorial and publishing web platform with structured submission workflows, publication tracking, event schedules, and responsive reader layouts.

PublishingEditorialReactCMSWeb App

Key Results:

  • Streamlined article submissions and editorial review tracking
  • Academic news-style aesthetic optimized for readability
  • Fully responsive navigation across mobile, tablet, and desktop

Technical Stack:

ReactTailwind CSSViteNode.js
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Urban Café

Café Digital Ordering & Real-Time Tracking

Frictionless phone OTP login & live order status updates

Background & Problem:

Café customers faced long counter wait times and lacked visibility into order preparation progress without a mobile self-ordering platform.

Our Solution:

Built a sleek, dark-themed café web app featuring mobile OTP authentication, interactive menu navigation, cart management, and real-time order status tracking.

E-CommerceOrder TrackingReactWeb AppDark UI

Key Results:

  • Accelerated customer ordering and reduced counter queue times
  • Live status tracking from preparation to pickup
  • Mobile-first responsive UI with smooth brand visuals

Technical Stack:

ReactFirebaseTailwind CSSWebhooks
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Christ University

Campus Lost & Found Recovery Portal

Simplified campus-wide item reporting & recovery workflow

Background & Problem:

Students and staff lost belongings with no centralized system to report or locate lost items, leading to low recovery rates and unorganized communication.

Our Solution:

Developed a dedicated campus recovery portal allowing students to submit detailed lost/found reports with photos, location markers, and secure contact options.

Campus TechReactFirebaseCommunity Portal

Key Results:

  • Centralized campus item recovery workflow for thousands of students
  • Structured categorization by location, item type, and claim status
  • Minimal, dark-themed responsive interface for fast mobile reporting

Technical Stack:

ReactFirebaseTailwind CSSCloud Storage
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Open Source macOS

Holdr – iCloud-Backed macOS Clipboard Manager

Native Swift clipboard manager with zero vendor lock-in

Background & Problem:

Desktop users faced privacy concerns and subscription paywalls with existing clipboard history sync utilities like PastePal.

Our Solution:

Engineered Holdr, an open-source native macOS clipboard manager built with Swift and CloudKit to sync clipboard history securely across devices without external servers.

macOSSwiftiCloudOpen SourceDesktop App

Key Results:

  • 100% private, serverless clipboard synchronization via native CloudKit
  • Instant global hotkey search and persistent history categorization
  • Lightweight memory footprint optimized specifically for macOS

Technical Stack:

SwiftSwiftUICloudKitAppKit
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Realtime Infrastructure

Supabase Mirror – Real-Time DB & Sheet Sync

Bidirectional sync engine with Redis locking & self-healing reconciliation

Background & Problem:

Operations teams needed to view and edit Supabase database records inside Google Sheets in real-time without infinite sync loop conflicts or data corruption.

Our Solution:

Built a real-time middleware engine that syncs database updates to Google Sheets bidirectionally, using Redis distributed locks to prevent sync loops and automated reconciliation scripts.

SupabasePostgreSQLGoogle SheetsRedisNode.js

Key Results:

  • Real-time bidirectional data mirror between Supabase & Google Sheets
  • Zero loop conflicts powered by Redis lock management
  • Automated self-healing data reconciliation script

Technical Stack:

JavaScriptSupabaseGoogle Sheets APIRedisNode.js
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Mobile AI & Health

SmartWake – ML-Powered Smart Alarm Engine

Biological sleep onset telemetry & REM-free wake cycle calculations

Background & Problem:

Traditional alarms trigger during deep REM sleep, causing severe grogginess and morning sleep inertia.

Our Solution:

Developed an autonomous smart alarm application using native background sensor telemetry and backwards-stepping ML algorithms to calculate biologically optimal wake windows.

Mobile AppFlutterDartMachine LearningTelemetry

Key Results:

  • Autonomously detects exact physiological sleep onset via background telemetry
  • Calculates REM-free wake windows to minimize morning grogginess
  • Native Flutter cross-platform architecture with custom audio engines

Technical Stack:

FlutterDartMachine LearningAndroid Telemetry
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Automation & Scraping

DealBot – Autonomous Amazon Price Tracker & Alert Engine

Automated price history archiving & WhatsApp Deal Card delivery

Background & Problem:

E-commerce deal tracking required constant manual price monitoring and manual creation of social deal alerts.

Our Solution:

Engineered a headless background worker using Python and PostgreSQL that scrapes Amazon India price fluctuations, archives historical metrics, and formats/dispatches WhatsApp Deal Cards automatically.

PythonAutomationPostgreSQLWhatsApp APIScraping

Key Results:

  • Automated 24/7 background price scraping and historic price trend logging
  • Formatted and routed native WhatsApp Deal Cards to subscriber channels
  • Deployed as a resilient background worker with PostgreSQL storage

Technical Stack:

PythonPostgreSQLEvolution APIWeb ScrapingRailway
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Fintech & Trading

TradeSignals – Sentiment & Technical Crypto Signal Pipeline

Real-time social sentiment scoring via NVIDIA NIM & Telegram alerts

Background & Problem:

Crypto traders needed combined sentiment analysis from social platforms alongside technical indicators (RSI/Volume) for fast trade decisions.

Our Solution:

Built a real-time intelligence pipeline that scrapes X and Reddit, classifies sentiment using NVIDIA NIM AI models, computes technical scores, and broadcasts signal alerts to Telegram.

PythonNVIDIA NIMRedisPostgreSQLTelegram

Key Results:

  • Automated sentiment classification powered by NVIDIA NIM AI
  • Real-time technical analysis combining RSI, volume, and social scores
  • Instant Telegram alert delivery for active traders

Technical Stack:

PythonNVIDIA NIM AIPostgreSQLRedisTelegram Bot API
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Cloud Infrastructure

CloudLeecher – Cloud-Native Download Engine

Hardware-free cloud resource utilization for high-speed transfers

Background & Problem:

Downloading large files locally consumes local bandwidth, hardware resources, and battery life.

Our Solution:

Created an open-source web application that offloads heavy file transfers onto Google Cloud infrastructure, preserving local hardware resources while maximizing cloud download speeds.

Cloud NativeNode.jsWebSocketsOpen Source

Key Results:

  • Zero local bandwidth or hardware degradation during massive file transfers
  • Direct cloud storage integration for processed files
  • Clean web control panel built with Node.js & WebSockets

Technical Stack:

JavaScriptNode.jsGoogle Cloud PlatformWebSockets
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BrokerCalc

Brokerage Charges & Fee Comparison Engine

Real-time calculation & instant fee breakdown across Indian brokers

Background & Problem:

Traders lacked an intuitive, real-time tool to compare brokerage fees, STT, exchange turnover charges, and GST across leading Indian brokers for Intraday, Delivery, and F&O trades.

Our Solution:

Designed and built BrokerCalc, a modern brokerage calculator web app. Integrated responsive side-by-side broker comparisons, custom trading presets, and real-time calculation logic for desktop and mobile.

FintechCalculatorsReactWeb AppUI/UX

Key Results:

  • Instant cost estimation for Delivery, Intraday, and F&O trades
  • Side-by-side fee comparison across top Indian stock brokers
  • High-performance, lightweight UI with customized trading presets

Technical Stack:

ReactJavaScriptTailwind CSSVite
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Knotbox.in

Handcrafted E-commerce Store & Inventory Center

Realtime inventory control & 0% stock discrepancies

Background & Problem:

Knotbox, a growing handmade craft store, faced stock discrepancies between online orders and physical inventory, resulting in delayed shipping.

Our Solution:

Designed a minimal storefront paired with an Inventory Command Center connecting real-time order data to a collaborative Google Sheets admin portal.

EcommerceHandcraftedFirebaseAdmin Portal

Key Results:

  • Slashed warehouse stock discrepancies to absolute 0%
  • Automated real-time inventory adjustments on order placement
  • Warm, brand-aligned visual design boosting product presentation

Technical Stack:

React.jsFirebase Realtime DatabaseTailwind CSSGoogle Sheets API
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GoViral Agency

Unified Agency Dashboard

Slashed manual ops by 40% (20hrs/week saved)

Background & Problem:

GoViral Agency was losing valuable operational hours managing team schedules, tracking content deliverables, and reporting campaign metrics across fragmented systems.

Our Solution:

We engineered a unified web dashboard integrated with their core Google Sheets, using automated webhooks to sync client requirements and delivery statuses in real-time.

DashboardGoogle SheetsAutomationWeb

Key Results:

  • Slashed operational overhead by 40% (saving 20 hours/week)
  • Unified client pipeline status reporting into one screen
  • Built automated email alerts for delayed tasks

Technical Stack:

ReactViteGoogle Apps ScriptFirebase HostingTailwind CSS
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Perplexity Affiliate

High-Conversion Landing Experience

3X User Engagement via Interactive UI

Background & Problem:

An affiliate campaign landing page was suffering from low signup rates. Standard layouts failed to capture visitor attention or showcase software features effectively.

Our Solution:

We built an interactive, high-performance landing experience with responsive animations, custom interactive UI toggles, and embedded email capture pipelines.

ReactYouTubeAnimationEmail Capture

Key Results:

  • Tripled conversion and signup rates compared to standard landing page tests
  • Sub-second page load optimization across all mobile browsers
  • Implemented automated welcome sequences and lead synchronization

Technical Stack:

ReactFramer MotionYouTube Embedded APIInstantly.aiTailwind CSS
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