Pratibha Yadav
I build the backend of things that move money and data at volume — CRM, HRM and transaction pipelines that stay fast and correct at 10,000+ requests a day.
const engineer = { name: 'Pratibha Yadav', stack: ['Next.js', 'NestJS', 'PostgreSQL'], focus: ['backend systems', 'API performance'], learning: ['RAG', 'LangChain', 'MCP', 'AWS'], status: 'open to opportunities', deliver: () => shipProductionGradeApps() };
About
I'm a full stack developer with 3+ years of experience building web applications and real-time systems, with most of my time spent on the backend — architecture, database design, and services that hold up under high-volume traffic.
My work leans on performance, scalability, and clean code — I try to make things production-ready from day one, not after the first incident.
I am actively expanding my engineering depth — deep-diving into advanced database architecture & query optimization, AWS cloud infrastructure, and modern AI engineering including RAG (Retrieval-Augmented Generation), LangChain, and Model Context Protocol (MCP).
Skills & tools
Mastering RAG (Retrieval-Augmented Generation), LangChain chains & agents, and Anthropic's Model Context Protocol (MCP) for building context-aware, tool-calling AI backends.
Deploying and scaling production services on AWS (EC2, S3, RDS, Lambda) with reliable networking, managed databases, and cloud security practices.
Deep-diving into PostgreSQL indexing internals, query execution plans, connection pooling, and optimizing high-volume transaction integrity.
Experience
- Maintaining and enhancing CRM, HRM, and Daily Sales Report (DSR) systems to keep business operations running smoothly
- Implemented new features and optimized workflows, improving system performance and reducing operational delays
- Debugged and resolved production issues, keeping uptime and reliability high for business-critical applications
- Delivered full-stack features using MongoDB, Express.js, React.js, and Node.js
- Developed CRM and HRM modules, cutting data entry time by 30%
- Implemented RBAC and JWT auth, securing access for 500+ employees with zero breaches
- Built a DSR system processing 10,000+ daily transactions at 99% accuracy using Mongoose pipelines
- Shipped 15+ REST APIs averaging sub-200ms response times at 99.5% uptime
- Cut development time by 40% using AI-assisted tools like Cursor and GitHub Copilot
- Built e-learning architecture supporting 3,000+ concurrent users with 20% faster state management
- Improved page load speed by 35% via lazy loading, code splitting, and compression
- Ensured SCORM 1.2 / 2004 compliance across 10+ LMS platforms
- Cut post-deployment issues by 40% through automated unit test pipelines
- Contributed to React Native cross-platform work, shipping 8 core features for iOS and Android
- Reached 98% feature parity across platforms, tested on 5+ device types
- Cut crash rate by 60% by resolving 30+ critical issues during testing
- Improved maintainability by 15% through clean Git practices and code review
Impact
Projects
A full-featured e-commerce system with secure checkout, real-time order pipelines, an interactive product catalog, and an analytics dashboard for vendors.
- Cart management, discount engine, Stripe payment flows
- Real-time order status via WebSockets
- Relational schema with transactional integrity
- Multi-parameter filtering and full-text search
YouTube & Learning
Sharing My Tech & Coding Learnings
I use my YouTube channel @pratibhacode as a digital learning log where I upload everything I learn in tech. From hands-on Full Stack and Backend development to database deep-dives and current explorations in AI (RAG, LangChain, MCP) and AWS Cloud.
Contact
Let's build something worth shipping. Open to full-time roles, freelance work, or just talking backend architecture.