m
mo12345hammad

MOHAMMAD

@mo12345hammad

Full Stack AI Engineer, AI Agents, RAG, Scalable Web Systems

Bangladesh
English
About me
Hi, I’m Mohammad, a Full-Stack AI Developer specializing in AI Agents using LangChain and LangGraph. I help businesses automate workflows with intelligent chatbots, multi-agent systems, RAG pipelines, dashboards, and secure backend APIs using FastAPI. I also develop complete web applications with React, scalable databases, and secure access control. From idea to deployment, I deliver fully live, secure, and production-ready systems. ✔ Clean, scalable solutions ✔ Fast delivery & clear communication Let’s turn your ideas into powerful AI solutions!... Read more

Skills

m
mo12345hammad
MOHAMMAD
Offline • 

See my services

AI Websites & Software
I will develop advanced ai agents with langgraph, rag and real time data automation
AI Chatbot Development
I will build custom ai rag chatbot for your website to automate support

Portfolio

Work experience

Freelancing_Career

AI Agent & Full-Stack Developer

Freelancing Career • Freelance

May 2025 - Present1 yr 3 mos

Built and deployed multiple advanced AI systems, including an AI Agent-powered business analytics platform using RAG and real-time data processing to deliver actionable insights for strategic decision-making. Engineered intelligent multi-agent workflows using LangChain and LangGraph for complex reasoning, dynamic data retrieval, and autonomous task execution. Developed a Research Agent capable of collecting, analyzing, and synthesizing real-time web data into structured reports. Implemented key features such as predictive forecasting with scenario simulation, AI-generated SWOT analysis, and an intelligent support assistant with automated escalation. Developed a medical AI chatbot using LLMs and vector databases for document-based question answering with accurate, source-grounded responses via semantic search and embeddings. Worked on NLP tasks including text classification, sentiment analysis, and document understanding. Built a deep learning-based computer vision system for plant disease detection using CNNs with high accuracy. Built scalable full-stack applications using FastAPI, React, PostgreSQL, and vector databases with a focus on modular architecture, real-time processing, and performance optimization. Deployed applications across modern cloud platforms including AWS, Vercel, Render, and Hugging Face Spaces, ensuring seamless hosting of AI models, APIs, and interactive chatbot interfaces.