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Anuvrat Joshi

Senior Full Stack Developer
AI-Enhanced Development Workflows

Building scalable systems with MERN stack and AI-enhanced workflows.

0+Years Experience
0%Performance Boost
0%Delivery Improvement
0+Projects Delivered
About Me

Senior Engineer. Problem Solver. AI Advocate.

I build scalable systems and lead teams to deliver high-impact software.

Anuvrat Joshi

Anuvrat Joshi

Senior Full Stack Developer

Haridwar, UK

I'm a Senior Full Stack Developer with 3+ years of hands-on expertise delivering scalable MERN stack applications for production environments.

My work spans architecting data pipelines, building real-time systems, and crafting seamless UIs. I've driven measurable improvements 30% latency reduction, 25% faster load times through deep technical ownership.

I'm also passionate about AI-assisted development. Using GitHub Copilot with structured prompt engineering, I've built workflows that accelerate feature delivery while maintaining enterprise-grade code quality.

Education

B.Tech in Mechanical Engineering

THDC Institute of Hydropower Engineering & Technology

Full Stack Bootcamp

10X Academy

MERN Stack Expert

Deep expertise in MongoDB, Express.js, React.js, and Node.js for production-grade applications.

Performance-First

Proven record of reducing latency by 30% and frontend load times by 25% through architectural decisions.

AI-Enhanced Developer

Leverages GitHub Copilot, prompt engineering, and AI workflows to accelerate delivery without sacrificing quality.

Tech Lead Mindset

Mentors junior developers, drives code reviews, and enforces scalable architecture across teams.

Technical Skills

Tools I Build With

A curated stack refined through production deployments and enterprise projects.

Languages

JavaScript (ES6+)TypeScriptPython

Frontend

React.jsNext.jsReduxTailwind CSSHTML5CSS3GraphQLBootstrapShadcn/UI

Backend

Node.jsExpress.jsRESTful APIsDSA

Databases

MongoDBMongoose ORMCosmos DBSQL

Tools & DevOps

GitGitHubAzure Blob StorageAzure Event GridPostmanAgile/ScrumBruno

AI Tools

GitHub CopilotGroq Code Fast 1Anti GravityAI-Assisted WorkflowsCursor AIClaudeChatGPTOpenAI API
Experience

Where I've Worked

A track record of technical ownership and measurable engineering impact.

IN

Senior Full Stack Developer

INCIPIENT INFOTECH

Current
Jan 2025 – PresentAhmedabad, GJ
  • Led end-to-end development of scalable MERN stack modules, improving delivery timelines by 20%
  • Implemented architectural enhancements that improved system performance and reduced latency by 30%
  • Mentored junior developers, conducted code reviews, and enforced best practices for scalable and maintainable code
IN

Full Stack Developer

INCIPIENT INFOTECH

Oct 2023 – Jan 2025Ahmedabad, GJ
  • Developed scalable MERN stack applications, reducing frontend load times by 25% through optimized state management
  • Integrated secure REST APIs and third-party services with authentication mechanisms such as OAuth and JWT
  • Collaborated on system architecture design, reducing post-release defects through modular and reusable components
AC

Full Stack Developer

ACS NETWORKS & TECHNOLOGY

Jul 2022 – Sep 2023Dehradun, UK
  • Developed RESTful APIs and responsive web interfaces with sub-second response times
  • Optimized MongoDB queries and indexing strategies to improve database performance and efficiency
  • Contributed across the full SDLC in an Agile environment, delivering production-ready features under tight deadlines
Projects

Production Systems I've Built

Real-world applications solving complex problems at scale.

An enterprise-grade platform built to handle and streamline calling and recording data for a client's business processes. The system integrates multiple external services to collect large volumes of data in real time, then processes, normalizes, and stores it in a structured way so it can be easily consumed and analyzed. A key challenge was maintaining performance under continuous, high-volume data flow from enterprise tools like ServiceNow — solved through caching strategies, optimized queries, and memoized rendering on the frontend.

Key Contributions

  • Designed scalable data ingestion pipelines integrating ServiceNow, Cloud9, and Cohesity ASC for continuous real-time data flow across enterprise systems
  • Built cron-based automation for data normalization and cleanup, significantly reducing manual operations and improving data reliability
  • Implemented role-based access control (RBAC) so users see context-appropriate dashboards and permissions based on their business role
  • Optimized database query performance and applied caching strategies to handle large datasets without latency degradation
  • Improved React.js dashboard rendering using memoization and lazy loading, eliminating unnecessary re-renders under heavy data loads
Node.jsExpress.jsReact.jsAzure Blob StorageMongoDBServiceNowCron JobsRBAC

…and a lot more

OSS tools, side projects, experiments — all on GitHub

Open Source

npm Packages I've Published

Production-ready libraries solving real developer pain points — available on the public registry.

error-intelligence-layer

v0.3.0

Zero-dependency error enrichment library for Node.js and TypeScript. Runs every error through a 6-stage pure-function pipeline: normalize → parse stack → extract cause chain → enrich → analyze → assemble. Ships 630+ built-in error patterns and optionally enhances results with AI-generated suggestions from any OpenAI-compatible provider (Groq, xAI, OpenRouter).

Key Features

  • Zero dependencies — pure TypeScript, ships ESM + CJS
  • 6-stage deterministic pipeline — normalize, parse, extract, enrich, analyze, assemble
  • Severity classification: critical / high / medium / low
  • Root-cause chain traversal with cycle detection
  • Stable 8-char fingerprint for error deduplication
  • Request sanitisation — Authorization, Cookie auto-redacted unconditionally
  • Plugin system with 3 built-in plugins: httpStatus, nodeSystem, grouping
  • Framework adapters for Express, Fastify, Next.js App & Pages Router

AI-Powered Features

  • analyzeErrorAsync — calls any OpenAI-compatible provider (default: Groq) after the pipeline
  • aiSuggestion[] — LLM-generated hints alongside the 630+ pattern-based suggestions
  • aiFixSuggested — corrected source code with inline comments (dev only, never in production)
  • wrapAsyncWithAI & withErrorBoundaryAsync — auto-pass fn.toString() as context for precise fixes
  • Provider-agnostic: swap to xAI Grok or OpenRouter with two config fields
  • Graceful fallback — pattern suggestions always present even when AI quota is exhausted
TypeScriptNode.jsError HandlingAI SuggestionsGroqExpressFastifyNext.jsZero DependenciesObservability

@joshianuvrat/type-bridge

v1.0.2

A CLI tool + Node.js library that parses your backend TypeScript source with ts-morph, strips backend-only constructs (Mongoose Document, Express Request/Response, sensitive fields like password), and emits clean, tree-shakable type files — eliminating type duplication and frontend/backend contract drift entirely.

Key Features

  • 3-stage pipeline: Extract (ts-morph AST) → Transform → Generate
  • Strips sensitive fields (password, token, secret) by default — never leaks to frontend
  • Date → string and ObjectId → string conversions out of the box
  • Enum → union type conversion (or preserve enums with preserveEnums: true)
  • Removes backend-only heritage: Document, Model, Request, Response, NextFunction
  • @type-bridge-ignore JSDoc tag to exclude any individual declaration
  • Watch mode with 300ms debounce via chokidar — real-time sync in dev
  • Optional SDK Generator — scans Express routes and emits a typed fetch client
  • Hash header on each generated file for CI staleness detection
  • Programmatic API: loadConfig, runExtractor, runTransformer, runGenerator, runPipeline

Security-First Pipeline

  • Sensitive fields (password, token, secret) stripped by default — never leaks to frontend
  • @type-bridge-ignore JSDoc tag excludes any individual declaration from generation
  • Only export-ed declarations are processed — private types stay private
  • Hash header on each generated file enables CI staleness detection
  • No runtime access — purely build-time, zero database or env-var exposure
  • SDK Generator emits a typed fetch client from Express route registrations
TypeScriptCLICode GenerationType Safetyts-morphSecurityExpressDXMonorepo
AI Workflow

Engineering Accelerated by AI

I don't just use AI tools — I build structured workflows that make them production-ready.

Multi-Model Copilot Usage

Leveraged GitHub Copilot with Grok Code Fast 1 for rapid UI generation and Claude Sonnet for code reviews, edge case handling, and logic validation.

Structured AI Context

Created a .github/instruction.md defining complete project architecture, components, and workflows — enabling AI models to operate with full codebase context.

AI-Assisted MERN Development

Built workflows where AI assists in UI development, backend logic implementation, debugging, and performance optimization across MERN stack applications.

Advanced Prompt Engineering

Applied prompt engineering techniques to guide AI models for complex feature development, API integrations, and scalable system design.

Edge Case Discovery

Leveraged AI tools to identify edge cases, refactor code, and improve application performance and maintainability.

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Let's Build Something Great

Open to senior engineering roles, freelance projects, and technical collaborations.

Why work with me?

I bring 3+ years of production MERN stack experience, AI-enhanced development workflows, and a senior engineer's approach to architecture and mentorship. Let's discuss how I can help you ship faster and better.

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