Systems-first mindset
Mapping database schemas, validation requirements, and failure modes prior to frontend execution.
Available for Work
RajendraBist
Designing robust systems before writing UI code
Web architecture, backend foundations, performance-aware interfaces, and AI-integrated products built with clean engineering judgment.
About
Builder With a Systems Mindset
Software achieves its purpose when the architecture behind it is as deliberate as the user experience. I design systems from the data layer up—planning validation schemas, API boundaries, and real-time state before laying down a single line of layout.
My core competency lies in backend-intensive full-stack engineering. By combining Node.js, PostgreSQL, and MongoDB with LLM integration pipelines, I build applications that process complex structured data and synchronize real-time updates. Clean judgment means balancing efficient data delivery with fast, responsive frontend states.
Technical Credentials
Full-Stack Web Development
Vcare Technical Institute
Production Systems
AI-Integrated Architectures
SocraticAI, streaming pipelines, MongoDB clustering, APIs
Full-stack execution
Bridging complex user interface state with structured, type-safe API communication patterns.
Backend depth
Architecting secure authentications, real-time WebSockets, and predictable REST API contracts.
AI integration rigor
Applying validation guardrails and structured generation patterns to yield deterministic LLM outputs.
Process
How I Build Products
01
Understand
Analyze constraints, define state flows, and establish core data-handling requirements before writing code.
02
Design
Architect database schemas, detail JSON API contracts, and draft resilient failure-recovery states.
03
Build
Implement clean vertical slices, ensuring component modularity on the frontend and strict data validation on the backend.
04
Deploy
Validate production builds, secure environment variables, and release continuously via automated Vercel pipelines.
Skills
Engineering Toolkit
Frontend
6 production-focused tools
React
Next.js 15
TypeScript
Tailwind CSS
HTML5
CSS3
Backend
5 production-focused tools
Node.js
Express.js
REST APIs
Socket.io
Zod
Database
4 production-focused tools
MongoDB
Mongoose
PostgreSQL
Supabase
Tools & DevOps
6 production-focused tools
Git
GitHub
Vercel
Railway
Docker
Clerk
AI & APIs
4 production-focused tools
Gemini API
Groq API
Vercel AI SDK
LangChain.js
Projects
Featured Work
EduMethod AI
LiveA production-oriented, AI-powered learning workspace designed to outclass generic chat interfaces. Engineered with a Persistent Learner Memory Engine, RAG grounding on student materials via pgvector, an independent Verification Audit layer, and an empirical Outcome Data Flywheel to dynamically optimize teaching strategies.
SocraticAI
LiveCompleted AI learning assistant that uses Socratic questioning, guided chat, and saved learning sessions to help learners reason through concepts.
DevGuard AI
LiveAutonomous GitHub PR security & code review agent built on an empirical tool-calling loop (AST static linter, OSV.dev vulnerability scanner, unit test runner). Generates 1-click inline PR patches with multi-tier LLM fallback and real-time dashboard observability.
Get in touch
Open to Meaningful Opportunities
Remote-first full-stack work, backend-heavy products, AI-integrated tools, and practical freelance builds.
Available for new roles and collaborations
© 2026 Rajendra Bist. Built with Next.js, MongoDB, and Gemini AI.