Aaditya Bansal

WORK HISTORY

EDUCATION

ABOUT AADITYA BANSAL

I am a 1-year experienced AI Engineer specializing in Generative AI, Large Language Models (LLMs), and multi-agent systems, focused on building intelligent automation solutions that connect AI with real business workflows.My work involves designing and deploying LLM-powered applications, AI agents, and data-driven automation systems using LangChain, LangGraph, OpenAI APIs, MongoDB, FastAPI, and cloud platforms. I focus on creating practical AI systems that go beyond chat interfaces and integrate seamlessly with databases, APIs, and enterprise tools.I developed a multi-agent MongoDB AI Chatbot that converts natural language into MongoDB queries and aggregations. The system was built with structured AI memory layers:• Procedural memory – for schema-aware reasoning and tool execution• Contextual memory – for session awareness and conversation continuity• Episodic memory integrated with RAG – enabling the agent to retrieve knowledge and learn from past interactions to continuously improve accuracyThe platform was optimized using prompt caching, schema-aware prompting, and token analytics, containerized with Docker, and deployed on AWS EC2 for scalable real-time usage.I have also worked on an AI Calling Agent, integrating LLMs with conversational workflows to automate voice interactions, appointment handling, and customer engagement. In addition, I have implemented workflow automation pipelines using n8n, Zapier, Google Forms, and Gmail APIs, enabling end-to-end process automation and reducing manual operational effort.Core Technical Expertise:• Multi-Agent AI Systems & Orchestration• LangChain, LangGraph, and LLM Agent Frameworks• Retrieval-Augmented Generation (RAG)• Conversational AI & Prompt Engineering• Workflow Automation – n8n, Zapier, API Integrations• Secure AI Design with Role-Based Access Control• Context & Memory-Driven AI Agents• Python, FastAPI, MongoDB• Docker and AWS EC2 Deployment• Token Optimization & Performance TuningI enjoy working at the intersection of AI, backend engineering, and automation—building systems that reduce manual effort, improve efficiency, and enable smarter decision-making.If you’re working on GenAI applications, AI agents, or intelligent automation solutions, feel free to connect. I’m always open to learning, collaborating, and contributing to impactful AI projects.