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AI Agents & RAG Chatbots with Persistent Memory
I design and build intelligent AI agents and chatbots that maintain conversation context, retrieve reliable information, and interact with external tools and APIs.
Core Capabilities
š¹ Persistent conversation and long-term memory
š¹ RAG-powered answers with reduced hallucinations
š¹ Tool calling, APIs, web search, and file retrieval
š¹ Multi-agent and multi-step workflows
š¹ Integration with OpenAI, Claude, Gemini, and open-source LLMs
š¹ Vector databases including pgvector, Pinecone, Weaviate, FAISS, and ChromaDB
Technologies
LangGraph, LangChain, Agno, PydanticAI, Haystack, FastAPI, OpenAI, Claude, Gemini, Hugging Face, PostgreSQL, pgvector, Pinecone, and Weaviate
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Designed and developed a modern AI automation solution that helps businesses automate repetitive tasks, streamline workflows, and improve operational efficiency. The project showcases AI-powered workflows, intelligent business automation, CRM integrations, document processing, email automation, lead management, API integrations, and custom dashboards. Built with scalability, security, and user experience in mind to help businesses save time, reduce manual work, and increase productivity through intelligent automation.
Services demonstrated:
AI Workflow Automation
Business Process Automation
AI Agents
CRM Automation
API Integrations
Email Automation
Lead Management
Dashboard Design
Document Automation
Custom Business Systems
This portfolio project was created to demonstrate my expertise in designing and developing AI-powered business automation solutions.
most companies don't have a hiring problem.
they have a time problem.
we're currently building an ai-powered interview platform where candidates can be interviewed through an ai assistant using video, audio, and screen sharing.
instead of recruiters spending hours on repetitive first-round interviews, the system conducts structured interviews, records responses, generates transcripts, and helps evaluate candidates automatically.
we're also working on automating parts of the hiring workflow, including candidate communication, interview scheduling, and follow-up processes.
one thing we've learned:
fully automating hiring isn't the goal.
the goal is removing repetitive work while keeping humans involved where judgment actually matters.
the future of recruitment isn't ai replacing recruiters.
it's ai handling the repetitive tasks so recruiters can focus on making better hiring decisions.
if you're looking for someone for you ai-powered saas product, ai agent, ai automation please contact me.
ā¢ Jun 25
InteractDocs
Title: RAG-Powered PDF Analyzer ā Chat With Any Document
Description: Built a document Q&A tool so users can upload any PDF and get instant, accurate answers grounded in the actual document content ā no manual searching or skimming. Used LangChain for orchestration, FAISS for vector search, HuggingFace for embeddings, and Groq for fast LLM inference.
Result line: Cuts document research time from minutes of skimming to seconds of asking.
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