DevOps Projects in PunjabDevOps Projects in Punjab
Cover image for ๐€๐ˆ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐ˆ๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž & ๐ƒ๐š๐ญ๐š
๐€๐ˆ ๐‘๐ž๐ฌ๐ž๐š๐ซ๐œ๐ก ๐ˆ๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž & ๐ƒ๐š๐ญ๐š ๐๐ฎ๐ž๐ซ๐ฒ ๐๐ฅ๐š๐ญ๐Ÿ๐จ๐ซ๐ฆ I built an AI-powered research intelligence platform that helps analysts and business teams query complex datasets through a single conversational interface. ๐“๐ก๐ž ๐๐ซ๐จ๐›๐ฅ๐ž๐ฆ Research teams often work across disconnected databases, reports, spreadsheets, dashboards, and documents. This slows analysis, makes cross-source searching difficult, and can reduce trust in AI-generated answers. ๐“๐ก๐ž ๐’๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง The platform combines RAG, AI agents, natural-language-to-SQL, structured and unstructured retrieval, source attribution, confidence scoring, and evaluation pipelines. Users can ask a business question in natural language, and the system decides whether to search documents, query databases, run SQL, or combine multiple sources before returning an evidence-backed answer. ๐€๐œ๐œ๐ฎ๐ซ๐š๐œ๐ฒ & ๐๐ซ๐จ๐๐ฎ๐œ๐ญ ๐„๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž The system evaluates answer correctness, retrieval quality, SQL accuracy, source relevance, hallucination risk, and response performance. Low-confidence results are captured for review and continuous improvement. The frontend is built with React + TypeScript and includes AI chat, dataset exploration, source references, analytics, evaluation dashboards, and real-time updates. ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐•๐š๐ฅ๐ฎ๐ž The platform helps teams analyze data faster, reduce manual SQL work, improve trust in AI outputs, and uncover insights across multiple data sources. ๐“๐ž๐œ๐ก ๐’๐ญ๐š๐œ๐ค: ๐‘๐ž๐š๐œ๐ญ โ€ข ๐“๐ฒ๐ฉ๐ž๐’๐œ๐ซ๐ข๐ฉ๐ญ โ€ข ๐๐ฒ๐ญ๐ก๐จ๐ง โ€ข ๐๐จ๐ฌ๐ญ๐ ๐ซ๐ž๐’๐๐‹ โ€ข ๐‘๐€๐† โ€ข ๐•๐ž๐œ๐ญ๐จ๐ซ ๐’๐ž๐š๐ซ๐œ๐ก โ€ข ๐‹๐‹๐Œ ๐€๐ ๐ž๐ง๐ญ๐ฌ โ€ข ๐’๐๐‹ โ€ข ๐€๐๐ˆ๐ฌ โ€ข ๐„๐ฏ๐š๐ฅ ๐๐ข๐ฉ๐ž๐ฅ๐ข๐ง๐ž๐ฌ
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Cover image for I worked as the Full
I worked as the Full Stack Engineer on Solareum https://solareuml1.io/ , a Layer 1 blockchain platform that connects renewable-energy generation data with on-chain records through its patent-pending Proof of Generationยฎ mechanism. Solareum is a Layer 1 blockchain platform that records renewable-energy generation data through its Proof of Generationยฎ mechanism. I worked as the Full Stack Engineer, developing dashboard workflows for energy production, consumption, export, battery storage, carbon savings, connected devices, wallet activity, and blockchain tools. My work covered the dashboard, application services, serverless infrastructure, database integration, Web3 functionality, and deployment workflows. I can help you build: - Responsive Next.js dashboards - Real-time energy and IoT analytics - Device connection and management workflows - Web3 wallets and transaction history - Token funding, transfers, and exchange features - Blockchain explorer integrations - DEX and NFT bridge interfaces - Serverless Node.js APIs with AWS Lambda - MongoDB data models and integrations - Automated CI/CD pipelines I have the shipped the following features: - Renewable-energy generation tracking - Energy exported and consumed metrics - Battery storage analytics - Carbon savings reporting - Three-second dashboard data updates - Minute, hourly, daily, monthly, quarterly, and yearly views - Global network map and energy leaderboard - Powerwall and IoT device management - Wallet funding, transfers, and exchange - Transaction history - Block explorer - Decentralized exchange - NFT bridge - Proof of Generation records - On-chain energy data retention - Dual-token and reward ecosystem - ESG and environmental impact reporting Skills used - Full-stack web development - Next.js development - Node.js backend development - Serverless architecture - Web3 application development - Blockchain dashboard development - REST API integration - MongoDB database development - Data visualization - IoT device integration - Responsive UI development - CI/CD implementation Tools and technologies - Next.js - Node.js - AWS Lambda - MongoDB - CI/CD - JavaScript - Web3 - Blockchain APIs - Data visualization libraries
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Cover image for CandleMe โ€” Interactive Digital Participation
CandleMe โ€” Interactive Digital Participation & Engagement Platform CandleMe is a large-scale interactive digital platform designed to connect physical experiences, digital participation, organizations, communities, and persistent user journeys through a unified web experience. I contributed to the product as a full-stack engineer, working across an established production codebase and handling functionality that extended far beyond traditional web application development. My work included complex frontend interactions, application-state integration, backend-connected user flows, organization configuration, QR/direct-link experiences, and performance-sensitive real-time graphics using Three.js and PixiJS. One of the defining parts of CandleMe is its interactive candle experience. Rather than functioning as a conventional website, the platform combines application logic with rich visual rendering to create dynamic experiences that respond to real product state and user interaction. The candle and flame systems were built as functional parts of the applicationโ€”not simply decorative animations. They had to integrate correctly with surrounding UI, application state, configuration, navigation, and the broader product journey while maintaining smooth performance across different browsers and devices. Core Product & Engineering Areas Interactive Candle Experience The product includes highly interactive visual experiences powered by Three.js and PixiJS, with custom flame effects and graphical behavior integrated directly into real application workflows. This required balancing visual quality with browser performance, device compatibility, responsive behavior, and application-state synchronization. Production Graphics & Performance Optimization Real-time graphics introduce a completely different set of engineering challenges compared with standard frontend development. I worked on optimizing the rendering experience across devices, including testing flame effects at approximately 45โ€“60 FPS on a Galaxy A24 and a stable 60 FPS on an iPhone 15, while also validating compatibility with Apple/Metal-based rendering environments. This involved careful attention to rendering behavior, visual consistency, performance, and differences between local and deployed environments. QR & Direct-Link Entry CandleMe supports experiences that can begin through a QR scan or direct link, creating a bridge between physical locations and the digital application. Users can enter the relevant CandleMe experience without navigating through a traditional application onboarding flow, making the system suitable for physical venues, activations, events, and distributed experiences. Persistent Candle Experiences A candle can represent more than a single interaction. The product is structured around persistent digital experiences that users can revisit, interact with, and share. This required product flows that maintain the relationship between the candle, its configuration, its destination, and the environment in which it is being used. Configurable Destinations & โ€œDoorsโ€ The platform supports configurable destinations or Doors, allowing CandleMe experiences to direct users into different journeys depending on the organization, location, campaign, or use case. This adds an important configuration layer to the product because different deployments can use the same underlying platform while presenting different experiences to users. Organization Ownership & Management CandleMe includes organization-level functionality that allows experiences to be created and controlled within a larger operational structure. The system needed to support ownership, organization configuration, locations, plans, activations, and the relationships between these entities rather than treating every candle as an isolated object. Locations & Physical Environments The product is designed to operate across real-world environments. Candle experiences can be associated with physical locations and organizational contexts, allowing the digital platform to extend into venues, events, communities, hospitality environments, campuses, wellness spaces, and other physical settings. Activations Organizations can configure and manage activations around specific CandleMe experiences. This introduces another layer of application state and business logic involving where an experience is deployed, how users enter it, what configuration is active, and which organization owns or manages it. Responsive Cross-Device Experience The product needed to work effectively across desktop and mobile environments because many users enter the experience directly from their phones after scanning a QR code. The visual rendering layer, UI components, and application interactions therefore had to remain responsive and usable across very different viewport sizes and hardware capabilities. Integration With an Existing Production Application A major part of the engineering challenge was working within a large existing PHP-based frontend/backend application rather than building an isolated prototype. New interactive functionality needed to integrate with existing business logic, state management, navigation, backend-driven configuration, and production user flows without disrupting established behavior. That required understanding the existing architecture first and then introducing new functionality in a way that remained maintainable and compatible with the rest of the system. Technical Complexity CandleMe demonstrates a combination of several engineering disciplines: Full-stack product engineering for the wider web application and business workflows. Creative frontend engineering for highly customized interactive experiences. Three.js / WebGL-style rendering for browser-based visual effects. PixiJS integration for performant interactive graphics. Backend integration with a mature PHP application. Performance engineering across mobile and desktop hardware. Responsive application development for QR-first mobile user journeys. Configuration-driven architecture supporting organizations, locations, activations, destinations, and reusable experiences. The project required thinking beyond individual pages or API endpoints. Features had to work together as part of a larger production ecosystem where the visual experience, backend configuration, organization structure, and user journey were tightly connected. Result The result is a production platform that combines interactive web graphics, physical-to-digital experiences, organization management, configurable user journeys, responsive UX, and full-stack application engineering within a single product. For me, CandleMe represents the type of engineering work where frontend, backend, architecture, performance, and product thinking overlapโ€”requiring both the ability to build technically complex functionality and the judgment to integrate it safely into an existing production system.
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Cover image for Time-Tracker Pro โ€” Intelligent Time
Time-Tracker Pro โ€” Intelligent Time Management & Productivity SaaS A comprehensive SaaS platform that helps teams and freelancers track time, manage projects, and optimize productivity with AI-powered insights. Core Features: Real-time time tracking with automatic detection Project & task management with hierarchical organization Detailed time analytics and productivity reports Team collaboration & billable hours tracking Invoice generation from tracked time Browser extension for seamless tracking Mobile app for on-the-go time logging Idle time detection & smart reminders Integration with popular tools (Slack, Jira, Asana, Google Calendar) AI-Powered Capabilities: Automatic activity categorization using machine learning Predictive project time estimates Productivity insights & trend analysis Smart recommendations for time optimization Natural language project/task creation Anomaly detection for unusual patterns Dashboard & Reporting: Real-time team activity dashboard Customizable productivity reports Time distribution charts & visualizations Client billing reports with detailed breakdowns Performance metrics & KPIs Export to PDF, CSV, or integrate with accounting software Technical Stack: Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Express, NestJS Database: PostgreSQL for relational data, Redis for caching AI/ML: Python (scikit-learn, TensorFlow) for predictions Real-time: WebSockets for live updates Infrastructure: Docker, AWS EC2, S3, Lambda CI/CD: GitHub Actions Authentication: OAuth 2.0, JWT tokens Key Accomplishments: โœ“ 1000+ concurrent users support โœ“ Sub-100ms API response times โœ“ 99.9% uptime SLA โœ“ Encrypted data storage & transmission โœ“ GDPR compliant โœ“ Scalable microservices architecture โœ“ Automated testing (Jest, Cypress) This project demonstrates expertise in: SaaS architecture & scalability Real-time systems & WebSockets AI/ML integration for predictions Payment processing & invoicing User authentication & security Team collaboration features Production deployment & DevOps
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