--- title: "Shivanand Vishwakarma - Senior Fullstack Engineer in Bengaluru | Tal" description: "Meet Shivanand Vishwakarma, Full Stack MERN Engineer · Node.js · MongoDB · Real-time Systems | REST APIs | 3+ Years Shipping Production SaaS | AWS · Docker · CI/CD based in Bengaluru. AI stack includes claude code, cursor, and openai. Explore public work links including github, leetcode, and shiva7..." image: "https://tal.club/meet/shivanand-vishwakarma/share-image" --- # Shivanand Vishwakarma on Tal ## Headline Full Stack MERN Engineer · Node\.js · MongoDB · Real\-time Systems \| REST APIs \| 3\+ Years Shipping Production SaaS \| AWS · Docker · CI/CD ## About Full Stack Engineer with 3\+ years of experience building scalable SaaS platforms — reducing upload failures by \~60%, improving MongoDB query speed by 40–60%, and cutting CI/CD build times by \~55% in production environments\. I specialize in designing backend systems, building high\-performance APIs, optimizing database performance, and developing end\-to\-end product features that scale\. My experience includes architecting chunk\-based large file upload systems, implementing real\-time communication with WebSockets, optimizing MongoDB through indexing and aggregation pipelines, and building resilient REST APIs with structured validation and error handling\. At InCruiter, I work on AI\-powered interview automation products, developing features across the entire interview lifecycle — including candidate onboarding, assessment workflows, proctoring, reporting, and real\-time event processing\. As part of the team, I contributed to DevOps improvements reducing Docker image size by \~60% and CI/CD build time by \~55%, significantly accelerating deployment cycles\. Previously, I designed event\-driven IoT integrations using Tuya APIs and secure webhook architectures to power smart room automation systems, enabling real\-time synchronization of lighting, thermostats, occupancy detection, and device management\. I enjoy solving complex engineering problems involving scalability, performance, reliability, and clean architecture — and I bring the same focus whether working in a startup, a growing product team, or a large\-scale engineering organization\. Tech Stack: Node\.js • React\.js • MongoDB • TypeScript • Express\.js • Redux • Socket\.IO • Docker • AWS • REST APIs • WebSockets • Event\-Driven Systems • IoT Integrations ## Location Bengaluru ## AI stack claude code cursor openai ## Work experience Senior Fullstack Engineer at DataNova, Aug 2026 \- Present · 3 mo, Ahmedabad \(Hybrid\), Building production features across the MERN stack and Next\.js, plus Python and PHP/Laravel\. Backend Developer at InCruiter, Aug 2025 \- Jun 2026 · 10 mo, Bengaluru, • Owned features end to end across backend, frontend and DevOps at an AI interview platform\. • Built an in\-house chunked interview recording pipeline \(React, Node\.js, GCS/S3\) replacing a paid third\-party service \(100ms\), with IndexedDB buffering during network drops and grace\-period merging into seekable full\-length videos\. • Designed RESTful APIs for the full interview lifecycle \(onboarding, evaluation, verdict\) with RBAC; optimized MongoDB with compound indexes and aggregation pipelines for 40–60% faster queries\. • Implemented Redis caching for interview/session data and WebSocket retry/reconnection policies for live session continuity\. • Built modular middleware and reusable React/Next\.js/Redux components, cutting feature delivery time by \~25%\. • Reduced Docker image size by \~60% and CI/CD build time by \~55%\. Full Stack Developer at OpenIntervue, Jan 2025 \- Jul 2025 · 6 mo, Remote, • Built Node\.js/Express\.js microservices for Pihu, an AI\-driven async video interview platform: scheduling, dynamic question flows, scoring logic and RBAC\. • Supported 1,000\+ interviews/month in production\. • Refactored React/Redux frontend modules \(with Next\.js\), improving dashboard load/response time by \~20–30%\. • Worked with designers and PMs in agile sprints\. Web Developer at Pardy Panda Studios, Apr 2023 \- Jan 2025 · 1 y 9 mo, Vadodara, Gujarat, India, • Built a hotel management SaaS from scratch \(booking engine, front desk, room management, admin\) with Node\.js, MongoDB and React; live at shashihotel\.com for a 100\+ room property\. • Architected event\-driven IoT integration via Tuya APIs and webhooks: smart\-room automation across 4\+ device types \(lighting, thermostat, presence sensors\) with real\-time device\-state sync\. • Integrated Firebase for live dashboards; implemented RBAC, secure auth flows, code splitting and lazy loading\. ## Education Full Stack Web Development, MERN Stack Development, Masai Bachelor of Engineering \- BE, Mechanical Engineering, Matoshri College of Engineering and Research Centre, Eklahare, Nashik ## Public links - github: https://github\.com/Shiva7781 - leetcode: https://leetcode\.com/shivavishwakarma7781 - shiva7781\-portfolio\.netlify\.app: https://shiva7781\-portfolio\.netlify\.app/?ref=talboss [View the original profile](https://tal.club/meet/shivanand-vishwakarma) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/shivanand-vishwakarma#person", "name": "Shivanand Vishwakarma", "url": "https://tal.club/meet/shivanand-vishwakarma", "image": "https://tal.club/meet/shivanand-vishwakarma/profile-photo.jpg", "description": "Meet Shivanand Vishwakarma, Full Stack MERN Engineer · Node.js · MongoDB · Real-time Systems | REST APIs | 3+ Years Shipping Production SaaS | AWS · Docker · CI/CD based in Bengaluru. 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