class PrashantSuthar: role = "AI/LLM Backend Engineer" experience = "8+ years" location = "India 🇮🇳" def superpowers(self): return { "ai": ["LLM apps", "RAG", "AI agents", "structured outputs", "model evals"], "backend": ["FastAPI", "Django", "async workers", "high-volume APIs"], "extraction": ["100+ sites scraped", "anti-bot bypass", "document parsing"], "automation": ["end-to-end pipelines", "browser automation", "scheduled workflows"], "cloud": ["AWS", "Docker", "CI/CD", "serverless"], } def mission(self): return "Convert raw, scattered, unstructured chaos → clean, reliable, business-ready data"
I build intelligent backend systems that transform websites, documents, APIs, databases, and unstructured content into clean, structured, actionable data — with AI at the core of the pipeline, not bolted on as an afterthought.
LLM-powered systems with structured outputs, semantic search, RAG, intelligent agents, and human-in-the-loop feedback workflows.
Pipelines that extract, clean, validate, and monitor data from websites, marketplaces, directories, documents, APIs, and databases.
Multilingual model evaluation, response benchmarking, correction workflows, and quality-measurement systems.
Scalable APIs, async workers, auth systems, queues, and integrations — engineered in Python for real production load.
Automating repetitive data-collection, processing, validation, monitoring, and delivery — so humans never do robot work.
Dockerized, monitored, CI/CD-driven deployments on AWS — built to run unattended and recover on their own.
AI / LLM Engineering
OpenAI Google Gemini Hugging Face LangChain RAG AI Agents Vector DBs
Data Extraction & Processing
| Project | What It Does |
|---|---|
| 🤖 AI-Powered Data Intelligence Platform | Connects to websites, documents, APIs & databases → extracts, validates, and transforms information into structured business data |
| 📊 LLM Benchmarking & Review System | Human-in-the-loop platform comparing AI model responses, collecting corrections, and computing quality metrics |
| 🎙️ Multilingual Speech Data Pipeline | Scalable audio segmentation, transcription, validation, and cloud-based dataset delivery |
| 💰 Automated Price Monitoring | Collects product prices, matches products, detects changes, and produces pricing intelligence |
| 🌐 Large-Scale Web Extraction | Extraction workflows for 100+ websites — ecommerce, property portals, travel sites, directories, public data |
| ⚡ Business Workflow Automation | Multi-step browser + backend + data-processing automation that eliminates manual work |
Give your LLM a front desk. An MCP server that turns Claude Desktop, Claude Code, or any MCP client into an AI receptionist for a medical clinic — booking & rescheduling appointments, patient registration, pre-visit intake, reminders, with destructive actions held back for confirmation and clinical questions routed away from the model.
🌾 AgroSage
Multi-agent crop advisory for smallholder farmers. Ask a free-form question — "Should I irrigate my cotton this week?" — and an LLM orchestrator delegates to specialist tools (live weather, mandi prices, an agronomy rule engine), returning a short actionable advisory in the farmer's own language. Also runs fully offline with no LLM and no API keys.
Agent Skills Agents ScrapingInstallable skills that teach coding agents to scrape like an expert. Self-contained instruction packages for Claude Code, Cursor, Copilot & 20+ agents — covering the full life of a scraping project: site feasibility audits, selector-free structured extraction, broken-scraper diagnosis, and proxy cost analysis. One command to install: npx skills add prashant-cr/skills
More projects: Flask REST Boilerplate · Booking Website Scraper · YouTube Data Scraper · COVID-19 Data Scraper
I'm open to collaborating on:
🤖 AI & LLM-powered applications · ⚙️ Backend systems & APIs · 🕷️ Web scraping & data extraction · 📄 Document-processing automation · 📊 Data monitoring & intelligence platforms · ☁️ Cloud infrastructure & workflow automation