Ashish Chaudhary
AI Engineer | AI Researcher
Ready for work
Ashish is ready for their next project!
Designed and built a production-grade AI automation system that replaces manual job searching on LinkedIn.
The workflow parses resumes using AI, extracts skills and preferences, scrapes relevant LinkedIn job listings, evaluates each role using semantic AI matching, and ranks opportunities by relevance score.
It automatically filters low-quality roles, identifies recruiter contacts, and generates personalized outreach messages.
The system outputs a centralized tracking dashboard, reducing manual job search effort by over 90% while improving application relevance and response rates.
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A RAG-based real estate chatbot built to answer queries from Dubai property listings stored in private PDFs. The system uses OpenAI GPT to generate natural language responses, while LangChain orchestrates the full retrieval-augmented generation pipeline including document ingestion, chunking, and retrieval. Pinecone is used for semantic vector search to ensure relevant property information is retrieved quickly and accurately. SerpAPI is integrated to provide optional external insights when needed. The chatbot answers strictly from the uploaded documents and transparently responds with “I don’t know” when the information is not present, ensuring reliable and document-grounded property details.
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Chatbots provide instant conversational responses and make connecting simple for patients. And when implemented properly, they can help care providers to surpass patient expectations and improve patient outcomes. However, AI solutions sometimes lack the most important quality to good care delivery. So Task was to create a chatbot using python , flask , Javascript , machine learning and NLP techniques.
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Interact with databases using natural language with this NL2SQL system built using LangChain. Users can ask questions in plain English, and it generates and executes SQL queries, returning clear answers.
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HR-ASSIST is an intelligent AI-powered HR Management System built on the Model Context Protocol (MCP) to automate onboarding and routine HR workflows. Claude functions as an autonomous HR agent that understands requests, plans actions, and executes multi-step tasks—creating employee records, finding managers, sending emails, raising tickets, scheduling meetings, and handling errors—delivering a complete, automated HR workflow end to end.
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