Hi, I'm Ansh Gautam
Full-stack developer and AI/LLM engineer. Founder of devtailored. I deploy and maintain everything myself — from architecture to production.
Ansh Gautam is a full-stack software engineer from India specializing in Python, FastAPI, React.js, and AI/LLM integrations, building production systems that handle real users at scale.
Python · FastAPI · React.js · OpenAI · Anthropic · Ollama
I work across the full stack — but I specialize in three areas where I can go deep.
FastAPI, WebSockets, SQLAlchemy. I build APIs that handle 300+ concurrent connections at sub-50ms sync, with proper auth, rate limiting, and production error handling.
React.js with Vite for speed, Tailwind for utility, Framer Motion for polish. I care about Lighthouse scores, semantic HTML, and interfaces that feel alive.
I build multi-provider AI pipelines — GPT-4, Claude, and local Ollama models through a single LiteLLM interface. Structured prompts, streaming responses, zero-config provider swapping.
Production systems I've built, deployed, and maintain — not class projects or tutorials.
GPS-verified student attendance with 300+ concurrent WebSocket connections at sub-50ms sync. Automated bulk-absent processing cuts admin workload by 80%.
Open-source VS Code extension that detects Python tracebacks in real time and streams AI-generated fix suggestions. Supports GPT-4, Claude, and local Ollama models interchangeably via LiteLLM.
Full-stack lead generation platform: Selenium scraper with anti-detection extracts 500+ listings into MySQL with automatic deduplication, surfaced through a React.js analytics dashboard.
Technical deep-dives on backend engineering, AI integration, and lessons from production.
An inside look at devtailored, my personal engineering brand focused on shipping highly performant, scalable, and AI-integrated production systems.
A deep dive into the architectural patterns and optimization techniques I used to achieve sub-50ms synchronization across 300+ concurrent WebSocket connections in a production attendance system.
How I iterated on LLM prompts to get consistent, accurate error analysis across GPT-4, Claude, and CodeLlama — the patterns that work and the ones that don't.
Interested in backend architecture, AI integrations, or full-stack projects that go to production — not staging. Let's connect.