Nittin K.

AI Chatbot Developer | Python, OpenAI, Claude, LangChain, RAG

I help clients build Python-based solutions, AI chatbots, and machine learning applications that automate workflows, improve customer support, and turn data into actionable results. Backend development, AI-powered systems, and LLM-based chatbot solutions are my core areas of expertise. My focus is on building clean, scalable, and production-ready applications using Python for APIs, automation, data processing, and machine learning workflows. Also, I handle the full development lifecycle from architecture and AI integration to API development, database design, testing, and cloud deployment ensuring reliable and maintainable solutions. 🔶 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫 🔶 ➖ Python application development ➖ AI chatbot development (Web, WhatsApp, Slack, Telegram, internal tools) ➖ Machine learning model development and integration ➖ LLM application development ➖ NLP solutions and text processing ➖ API development and third-party integrations ➖ AI automation and workflow optimization ➖ Data processing, analysis, and prediction systems ➖ Model deployment and inference APIs ➖ Backend architecture, testing, and cloud deployment 🔶 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 🔶 ➖ Build custom Python backend systems that are scalable and easy to maintain ➖ Develop AI chatbots for support, lead generation, Q&A, and automation ➖ Create machine learning solutions for predictions and recommendations ➖ Work with NLP for search, summarization, and conversational systems ➖ Build data-connected chatbots using knowledge bases and documents ➖ Develop secure and scalable AI APIs with proper authentication and monitoring 🔶 𝐓𝐨𝐨𝐥𝐬, 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬, 𝐚𝐧𝐝 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 🔶 ➖ Backend & Core ➔ Python, SQL, FastAPI, Django, Flask, REST APIs ➖ Databases ➔ PostgreSQL, MySQL, MongoDB, Redis ➖ AI & Chatbots ➔ OpenAI API, LangChain, LlamaIndex, Hugging Face, FAISS, Pinecone, pgvector ➖ Machine Learning ➔ Pandas, NumPy, scikit-learn, XGBoost, Jupyter Notebook ➖ DevOps & Cloud ➔ Docker, Git, AWS ➖ Testing & Quality ➔ Postman, Swagger, Pytest, logging, debugging I use modern AI tools like Cursor, GitHub Copilot, Replit, and ChatGPT to speed up development and improve code quality, while ensuring every solution is properly tested, reviewed, and production-ready. If you need a Python developer, AI chatbot developer, or machine learning engineer who can deliver practical and reliable solutions, I would be glad to help.