I develop custom AI agents powered by LangChain, OpenAI GPT, Claude, Gemini, and Llama 3 that don't just respond to prompts they reason, remember context, retrieve live data, and execute real tasks across your tools and systems.
This isn't chatbot territory. This is intelligent automation that actually understands your business.
🧠 What Makes These Agents Different
Most AI tools give you a smart reply. My agents give you a smart action.
Every system I build is grounded in Retrieval-Augmented Generation (RAG) — meaning the agent pulls real, up-to-date context from your own data before responding or acting. No hallucinations. No generic answers. Just accurate, context-aware outputs based on what your business actually knows.
I also implement persistent memory so agents remember past interactions, maintain conversation state, and improve over time — not reset with every message.
⚙️ Tech Stack
- Frameworks: LangChain, LangGraph, LCEL, Async Chains
- LLMs: OpenAI GPT-4, Claude, Gemini, Llama 3, Mistral
- Vector Databases: Pinecone, FAISS, ChromaDB, Weaviate, Qdrant
- Embeddings: OpenAI, Cohere, Hugging Face, sentence-transformers
- Data Sources: PDFs, websites, CSVs, SQL databases, REST APIs
- Memory Systems: ConversationBufferMemory, VectorStoreRetrieverMemory, dynamic context management
- Deployment: API microservices, chat interfaces, event-driven functions
🤖 Types of Agents I Build
- Retrieval Agents — Ask questions, get answers pulled directly from your documents, tickets, reports, or knowledge base. No more digging.
- Action Agents — Connect to your CRM, Slack, or any API and let the agent do the work — update records, send messages, trigger workflows.
- Analyst Agents — Feed in raw data, get back structured insights, summaries, and reports — automatically.
- DevOps & Code Agents — Debug errors, generate scripts, manage deployments, and automate cloud tasks without constant developer input.
- Enterprise Chatbots — Domain-trained assistants built on your SOPs, internal docs, and API schemas — not generic, not off-the-shelf.
💡 Who This Is For
- Start-up's that need to move fast without hiring a full ops team
- SaaS companies wanting AI natively embedded in their product
- Agencies building intelligent tools for their clients
- Enterprises replacing slow manual processes with autonomous AI workflows