Prabhjot Singh

Software Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

Key Highlights

Developed scalable invoicing workflows at INDmoney.
Led task management system development at Ecozen.
Contributed to no-code tools enhancing workflow efficiency.

Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS applications and real-time systems.

Contact

prabhx.jott@gmail.com LinkedIn

Skills

Core Skills

Full Stack DevelopmentBackend Development

Other Skills

AWSAgile DevelopmentAlgorithmsAmazon Web Services (AWS)AngularJSC++CRUD operationsClickHouseCodeMirrorCommunicationCompetitive ProgrammingCreative IdeationCreative and DesignData StructuresDjango

About

I'm a full-stack software engineer passionate about building scalable, impactful products using modern web technologies. With experience across early-stage startups and fast-paced product environments, I’ve worked on everything from backend architecture and real-time synchronization systems to UI component engineering and workflow automation. At INDmoney, I’m currently developing invoicing approval workflows using Python, Django, and PostgreSQL. Previously at Ecozen, I led the development of a hierarchical task management system and built real-time analytics pipelines using Node.js, MongoDB, and WebSockets. I’ve also interned at Clappia, where I contributed to no-code tools and enhanced workflow efficiency by modularizing APIs and integrating dynamic editors. I’ve solved 1600+ competitive programming problems and achieved top global ranks across Codeforces, CodeChef, and Google Kickstart. My side projects (like LC Sheet Builder) showcase my ability to design and deliver full-stack applications that simplify complex tasks for developers. ⚙️ Tech I enjoy: TypeScript, Node.js, React, MongoDB, Python, PostgreSQL, Docker 🧠 Strengths: Problem-solving, systems design, competitive programming, rapid prototyping

Experience

Indmoney

Software Engineer

May 2025 – Present · 10 mos · Bengaluru, Karnataka, India · On-site

Ecozen

Full Stack Developer

Jul 2024 – May 2025 · 10 mos · Bengaluru, Karnataka, India · On-site

Designed a hierarchical task management system with tree-structured visibility for devices, subsystems, and tasks, optimizing workflow automation using MongoDB and React Flow.
Implemented MongoDB Aggregation Pipelines and caching mechanisms to enhance data retrieval performance, real-time updates, and analytics for task tracking and device provisioning
Automated resource and task lifecycle management by integrating logging, bulkWrite operations across multiple MongoDB tables, and WebSockets for real-time synchronization.
Utilized a DFS-based approach to validate task and subsystem flows, ensuring proper task completion while enforcing child resource dependencies, allowing execution only after parent resources are completed.
Enhanced role-based access control by implementing Super Admin-controlled user permissions, ensuring secure and efficient access to product and task data.

MongoDBReact FlowWebSocketsDjangoPythonFull Stack Development+1

Clappia ⢸ no-code platform

Full Stack Developer

Dec 2023 – Jun 2024 · 6 mos · Bengaluru, Karnataka, India · On-site

Engineered backend integration of real-time web sockets, offering users live task progress updates and resource copying visibility. Utilized a modular approach, involving refactoring of a monolithic function into smaller, reusable multiple functions, thereby enhancing platform reliability, user engagement, and code maintainability.
Significantly enhanced user experience by integrating MatBottomSheet and NgbModal for seamless data visualization, and implementing JSON and XML editor fields using the CodeMirror library. This integration replaced the cumbersome input fields, enabling users to easily write and validate JSON and XML code. Additionally, these improvements were incorporated into the REST API node and getDataFromRESTAPI field, effectively reducing user input time and frustration.
Enabled state machine rerun and stoppage for workflow control, created reusable components for multiple fields, and automated charts creation upon app creation through AWS Stream resource, enhancing application localization and providing insightful data visualization.
Enhanced system efficiency by implementing CRUD operations, optimized database performance with local storage caching, effectively managed DynamoDB streams, developed and subscribed to AWS Lambda functions, and implemented rate limiting for email verification, ensuring optimal system performance and security.

AWSDynamoDBWebSocketsCodeMirrorCRUD operationsFull Stack Development+1