SDE @Cautio | Ex-SDE Intern @Dashmed, @Edilitics & @TaskLabs | 1x National Hackathon Winner | Engineer |

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Nikhil Raj • Peerlist

<h3>Kafkaesque</h3>A focused Kafka monitoring dashboard, API, and CLI. Monitor cluster health, topic activity, consumer lag, and Slack lag alerts from one read-only interface.<h3>Why Kafkaesque?</h3>Monitoring Kafka is essential, but it shouldn't be tedious. The standard CLI works well for quick checks, while broader observability platforms can introduce more complexity than a team needs just to understand its Kafka cluster.Kafkaesque is an open-source, read-only Kafka monitoring tool that brings essential cluster insights into one place. Its web dashboard lets developers and operators inspect cluster health, brokers, topics, hourly message rates, consumer groups, and partition lag.It also supports configurable Slack alerts for consumer lag, with follow-up notifications when lag is resolved.Kafkaesque never produces messages or modifies Kafka resources. PostgreSQL is used exclusively for application accounts, sessions, roles, permissions, and alert subscriptions, never for storing Kafka messages or historical metrics.The UI and API share the same authenticated Kafka connection and collectors. Browser users authenticate through secure session cookies, API clients use opaque access and refresh tokens, and the standalone CLI connects directly to Kafka.<h3>Built with simplicity in mind</h3>The goal is to give Kafka developers and operators a focused way to understand what's happening in their clusters without introducing unnecessary infrastructure or complexity.Explore the project: <a target="_blank" rel="noopener noreferrer nofollow ugc" class="break-all link-break text-gray-500 hover:underline" href="https://github.com/nikhil25803/kafkaesque">https://github.com/nikhil25803/kafkaesque</a>Give it a try, explore the code, and feel free to contribute or share your feedback!

Kafkaesque

<h3>About</h3>Nikhil Raj is a Software Development Engineer with a focus on building robust backend and distributed systems. Currently at Cautio, he is instrumental in developing systems that enhance the safety and reliability of India's mobility ecosystem. His work involves designing high-throughput, low-latency systems tailored for real-time data processing, video pipelines, and geospatial computations.With prior experience at startups and healthtech companies, Nikhil has a proven track record in solving complex backend and distributed systems challenges. This includes expertise in health data integration, API design, real-time streaming, and large-scale event processing.<h3>Key Experience and Projects</h3><ul><li>Software Development Engineer at Cautio (July 2025 - Present): Building high-throughput backend systems for real-time video, IoT data, machine learning validation, and geospatial processing within India's mobility sector.</li><li>Backend Engineer Intern at Cautio (December 2024 - June 2025): Worked on snapshots, driver authentication, and shared authorization infrastructure for Cautio's connected mobility platform.</li><li>Backend Developer at Dashmed (April 2024 - July 2024): Developed healthcare APIs for India's ABDM ecosystem, simplifying complex callback integrations.</li></ul><h3>Notable Projects</h3><ul><li>Kafkaesque: A tool for Kafka cluster inspection and observability, accessible via CLI and a web dashboard.</li><li>Wordly: A persistent daily word game designed for the command line.</li><li>Purrpeek: A system information tool that presents data from a unique, feline perspective across multiple platforms.</li></ul>Nikhil is passionate about building efficient and scalable systems and is always looking to connect with fellow professionals. His technical skills span a wide range of programming languages and technologies, including Go, Python, JavaScript, TypeScript, C++, Django, FastAPI, React, Node.js, Kafka, Redis, PostgreSQL, Docker, Kubernetes, AWS, and FFmpeg.

Portfolio Website | Nikhil Raj

Try: brew install nikhil25803/tap/wordlyFor Windows/Linux, please use the cURL-based installation mentioned in the project's GitHub README.<h3>About Wordly</h3>Wordly is a daily, six-attempt word guessing game built for the command line. Every user gets the same five-letter puzzle each UTC day, with the entire experience running directly inside the terminal.It is designed to feel like a complete Wordle experience rather than just a simple CLI game — with a responsive terminal UI, persistent progress, statistics, spoiler-free sharing, and local-first storage.<ul><li>Easy Installation: Download the latest release for your platform and start the game with wordly.</li><li>Daily Puzzle: Everyone gets the same five-letter Wordle puzzle every UTC day.</li><li>Six Attempts: Try to find the hidden word within six guesses, with clear feedback after every attempt.</li><li>Interactive TUI: Built with Bubble Tea and Lip Gloss, with dedicated screens for Home, Game, Result, and Statistics.</li><li>Responsive Layout: The interface adapts to different terminal sizes, providing a larger layout on wide terminals and a compact layout on smaller screens.</li><li>On-Screen Keyboard: Includes a QWERTY keyboard that visually tracks used letters and their current state.</li><li>Smart Letter Matching: Correctly handles repeated letters and provides accurate feedback based on their occurrence in the target word.</li><li>Dictionary Validation: Guesses are validated against the local dictionary. Invalid words do not consume an attempt.</li><li>Save &amp; Resume: Your current game is automatically saved, allowing you to close Wordly and continue the same puzzle later.</li><li>Persistent Results: Completed games and result screens are restored when you reopen the application.</li><li>Statistics: Track daily and all-time performance, including wins, losses, current streak, best streak, and guess distribution.</li><li>Spoiler-Free Sharing: Share your results directly from the terminal without revealing the solution. Shared results include the puzzle date and number of attempts.</li><li>Terminal Clipboard: Uses OSC52 for clipboard-based result sharing, allowing results to be copied directly from compatible terminals.</li><li>Local-First: All gameplay data is stored locally on your machine. There is no account system, backend, or cloud dependency.</li><li>SQLite Storage: Uses an embedded SQLite database for game history, statistics, dictionary data, daily puzzles, and user information.</li><li>Privacy Focused: Wordly does not require an account, send gameplay data to a server, or collect telemetry.</li><li>Offline Friendly: Once installed, Wordly can be played without a network connection.</li><li>Cross-Platform: Supports Linux, macOS, and Windows with platform-specific installers and release archives.</li></ul><h3>CLI Commands</h3>The CLI keeps the interface simple with a few useful commands:<ul><li>wordly — Start or resume today's game.</li><li>wordly --stats — View your game statistics.</li><li>wordly --words — Check the number of words available in the dictionary.</li><li>wordly --reset — Reset local game data.</li><li>wordly --help — View available commands and options.</li></ul><h3>Built With</h3>Go — Core application and game logic Bubble Tea — Terminal user interface Lip Gloss — Terminal styling and layout SQLite — Local persistence GoReleaser — Cross-platform builds and releases<h3>Why Wordly?</h3>Wordly started as a simple idea: build Wordle for the terminal.Instead of creating just another basic command-line guessing game, the project focuses on making the terminal experience feel like a real application. It combines a clean TUI with persistent state, daily puzzles, statistics, responsive layouts, and privacy-first local storage.It is also a practical Go project exploring terminal UI development, state management, SQLite persistence, cross-platform builds, release automation, and CLI application design.The project is open source and available on GitHub.

wordly

<h3>About Purrpeek</h3>Purrpeek is a cross-platform, cat-approved command-line interface (CLI) tool designed for quickly inspecting your operating system, hardware, storage, network, power, shell, and terminal. It offers support for macOS, Linux, and Windows.The tool aims to provide comprehensive system information, with a 'best-effort' approach to data collection. If a specific system detail is unavailable, Purrpeek will still display all the information it successfully gathered.<h3>Key Features:</h3><ul><li>Cross-Platform Compatibility: Works seamlessly on macOS, Linux, and Windows.</li><li>Comprehensive System Information: Gathers details on operating system, hardware, storage, network, power, shell, and terminal.</li><li>Cat-Approved Aesthetics: Features a unique, playful theme.</li><li>Flexible Output: Supports both human-readable terminal output with optional artwork and machine-readable JSON output.</li><li>Customizable: Allows for configuration of displayed fields and custom greetings through YAML and JSON files.</li><li>Multiple Installation Options: Available via Homebrew, Nix, Scoop, and a Linux installer script.</li></ul><h3>Installation:</h3>Purrpeek can be installed using various package managers:<ul><li>Homebrew: brew install nikhil25803/tap/purrpeek</li><li>Nix: nix profile install github:nikhil25803/purrpeek or nix run github:nikhil25803/purrpeek</li><li>Scoop: Setup: scoop bucket add nikhil25803 https://github.com/nikhil25803/scoop-bucket, Install: scoop install purrpeek</li><li>Linux Installer: Use the provided script: curl -fsSL https://raw.githubusercontent.com/nikhil25803/purrpeek/main/scripts/install.sh | sh</li></ul>Release archives are also available for manual installation on macOS and Linux by extracting the binary and placing it in your PATH. Windows users can extract the executable and add it to their PATH.<h3>Usage:</h3>Run purrpeek in your terminal to display system information and artwork. Use flags like --json for JSON output and --verbose to show collection warnings.<h3>Development:</h3>The project is built using Go and includes development commands for testing, building, and packaging. Contributions are welcome, and users can customize configurations and greetings by modifying YAML and JSON files.

purrpeek

<h3 class="rich-heading">Portfolio Website - Nikhil Raj</h3>This is my portfolio website built using TypeScript, React.js, and TailwindCSS. With a terminal-like look, it is minimal and completely dynamic. Live Link - <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://nikhilraj.live/">https://nikhilraj.live/</a>GitHub Link - <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://github.com/nikhil25803/portfolio">https://github.com/nikhil25803/portfolio</a>

Minimalistic Portfolio Website

<h2 class="rich-heading">Nutri Vista: Your ultimate companion for hassle-free nutrition analysis!</h2>A user-friendly text-to-nutrition analysis platform that simplifies meal tracking and monitoring with a graphical representation for progress tracking.Solving the problem of manually calculating calories, proteins, etc.Just explain how your day went (what you ate today to be precise) and it will do the rest for you. <h2 class="rich-heading">Features ✨</h2>1. Effortless Nutrition Tracking: Simplifies meal descriptions for nutritional insights, making healthy choices effortless.2. Dashboard Delight: Personalized dashboard empowers easy progress monitoring and goal tracking.3. Personalized Dashboard with Last 30 Days Tracking: Visualize the last 30 days' nutritional data for easy progress tracking.4. Graphical Representation for Last 30 Days: Offers graphical visualization of nutritional data over the last month.5. Robust Backend for Scalable Solution: Ensures scalability and reliability with a robust backend infrastructure.6. Session and JWT Token-Based Authentication: Utilizes secure session and JWT token-based authentication mechanisms.7. Browser-Side Caching for Efficient API Calls: Enhances performance with browser-side caching for API calls.

Nutri Vista

1. Microservices Architecture: Leveraging Docker containers, the project adopts a scalable and modular approach, orchestrating PostgreSQL, Node.js API, and Redis instances for efficient development and deployment.2. Features: Highlighting token-based authentication, CRUD operations, keyword search, recommendation system, and popular post tracking, ensuring comprehensive functionality for users and administrators.3. Performance Optimization: Incorporates middleware for response compression, optimized database queries, and asynchronous processing, enhancing overall system performance and responsiveness.4. Security Measures: Including rate limiting, and request validation ensuring data integrity and user privacy.5. Testing : Wrote unit testing covering all features and algorithms and endpoints.

Microservice Blogging Platform - Backend

A customizable computer vision application that helps you track and count the reps during exercises like sit-ups, push-ups, dumble presses, and other exercises. With the support of a database, you can even keep track of your data.

Count Reps

FoodVision is a Python project that effectively utilizes Convolutional Neural Networks (CNN) for food image classification. The adoption of best practices, automation through shell scripting, and the inclusion of both command line and GUI interfaces contribute to its accessibility and usability. Future improvements aim to enhance the model's performance and user experience.

FoodVision

A Warehouse-Store system where users can manage products in the warehouse and place orders in the store, with communication facilitated by Redis, and a user interface provided by ReactJS. The project is scripted in Python, and JavaScript, and utilizes shell scripting for automation.

FastAPI + Microservices

It is an open-source online platform that helps you raise funds for your upcoming projects, community, or startup ideas. On this platform, you will various needy ones you might help and can even post the same asking others to step ahead and help.

Fund Raisers

An API to perform complete backend implementations of a job hiring platform. Providing different endpoints to perform different tasks, like listing jobs, applying to a job, or selecting a candidate who applied to a job as a recruiter with proper data population.Scripted in JavaScript on top of NodeJS and Express JS. Used MongoDB as a database service and implemented data back-population to respective models. Integrated JWT for authentication, AWS S3 as a file storage service, and SendGrid for mailing services.

Jobs API

Connect with mentors worldwide for personalized resume feedback on Review It, a free and open-source platform. Elevate your professional story, whether you're entering the job market or making a career change.