# Amresh Chaurasiya — llms.txt
# Machine-readable profile following the llms.txt convention.
# Human-readable version: https://amreshdev.me

## identity
name: Amresh Chaurasiya
role: AI Native Full Stack Developer
location: Ghaziabad, India
email: amresh.codes@gmail.com
status: AI Native Full Stack Developer at Valoron Consulting. Building Fanito, an AI-powered social platform across frontend, backend, data, and AI-driven product workflows.

## links
site: https://amreshdev.me
github: https://github.com/Amresh-01
twitter: https://x.com/Amresh__01
llms: https://amreshdev.me/llms.txt

## current
- Valoron Consulting — AI Native Full Stack Developer, Aug 2026–present
  Building Fanito, an AI-powered social platform.
  Designing and implementing feed-ranking systems that combine user behavior, content signals, engagement, and author diversity.
  Developing AI-powered features including Economic Health Score and Smart Task Assignment.
  Engineering the platform on Supabase with PostgreSQL, authentication, APIs, and scalable architecture.
  Stack: Next.js, Supabase, Postgres

## experience
- InsForge — Open Source Contributor, 2026
  Contributed to the InsForge codebase by identifying and resolving dependency security issues in the frontend stack.
  Stack: React, TypeScript

- Robocurve — Open Source Contributor, 2026
  Contributed production-focused fixes and improvements to Robocurve's open-source codebase.
  Stack: TypeScript

- API Dash — Open Source Contributor, 2026
  Contributed engineering improvements to API Dash, an open-source API development and testing platform.
  Stack: Node.js

- Twenty — Open Source Contributor, 2026
  Contributed to Twenty, an open-source CRM platform. Implemented fixes and improvements that were successfully merged into the core codebase.
  Stack: TypeScript, React

## projects
- AgentOS (2026, Building) — Self-hosted AI agent operating system
  GitHub: https://github.com/Amresh-01
  A robust platform for orchestrating autonomous workflows, tools, workers, and persistent memory using a Planner/Supervisor architecture.
  Stack: Next.js, Python, FastAPI, Postgres, Redis, Docker

- LoadForge (2026, Building) — Self-hosted API load testing
  Enterprise-grade API load testing with real-time performance metrics and AI-assisted bottleneck diagnosis orchestrating k6 load generators via distributed workers.
  Stack: Next.js, TypeScript, Redis, Postgres, Docker

- PulseWatch (2026, Building) — Incident management platform
  A self-hosted uptime monitoring and incident management platform for developers and small engineering teams built around a robust distributed worker pipeline.
  Stack: Next.js, Node.js, Redis, Postgres, Docker

- GraphMind (2025, Prototype) — AI-powered knowledge system
  Transforms unstructured documents into connected, queryable knowledge using a Hybrid Retrieval (Graph + Vector) reasoning system.
  Stack: Next.js, FastAPI, Python, Postgres, Neo4j

- Canteeno (2024, Live) — High-concurrency food ordering
  Site: https://canteeno-peach.vercel.app/
  A full-stack backend application handling high-concurrency food ordering and cafeteria management with decoupled API architecture.
  Stack: Node.js, Express, MongoDB, React, Redis

- HealthcareAI (2024, Live) — AI-assisted healthcare platform
  Site: https://healhcare-ai.vercel.app/
  Features a RAG-based MediBot, NLP symptom analysis, and XGBoost disease prediction within a unified patient-doctor ecosystem.
  Stack: React, Node.js, MongoDB, Redis

## education
- Ajay Kumar Garg Engineering College, Ghaziabad — B.Tech, Computer Science Engineering, Aug 2023–May 2027 (expected)

## skills
Frontend: Next.js, React.js, TypeScript, TailwindCSS
Backend: Node.js, Express, Python, FastAPI
Databases: PostgreSQL, MongoDB, Redis, Neo4j, Supabase
Systems & DevOps: Docker