a
ajwa_zainab

AjwaZainab

@ajwa_zainab

AI Developer Machine Learning RAG Chatbots

Pakistan
Anglais, Hindi, Ourdou, Punjabi, Coréen
Certaines informations sont présentées en anglais.
À propos de moi
Hi! I’m an AI and Machine Learning Engineer specializing in Generative AI, LLMs, AI agents, RAG, AI chatbots, and computer vision. I build custom AI solutions using Python, LangChain, LangGraph, OpenAI, machine learning, deep learning, NLP, automation, APIs, and intelligent workflows. I develop AI assistants, knowledge bases, recommendation systems, document processing tools, and business automation solutions, helping startups and businesses turn ideas into scalable, production ready AI applications.... Plus d’infos

Compétences

a
ajwa_zainab
AjwaZainab
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Intégrations IA
I will build an ai chatbot or rag system with langchain and llms
De100 $US / projetPlus de détails
Mise en œuvre et déploiement de l’IA
I will build a computer vision app using yolov8 and meta sam
De40 $US / projetPlus de détails

Portfolio

Expérience professionnelle

bangopure

Artificial Intelligence Engineer

bangopure • Temps partiel

Jul 2024 - Present • 2 yrs 2 mos

* Architect and develop end-to-end **Generative AI and agentic AI systems** for enterprise applications, working closely with Product Owners, software engineers, and DevOps teams. * Design and implement scalable **AI/ML architectures** and LLM-powered applications using Python, LangChain, and LangGraph. * Build production-grade **RAG pipelines**, vector database integrations, semantic search systems, and intelligent AI-agent workflows. * Develop AI-driven automation solutions that integrate with existing business platforms, APIs, databases, and software tools. * Fine-tune, evaluate, and optimize foundation models for business-specific use cases while improving accuracy, performance, and reliability. * Deploy and monitor AI solutions in production environments, identifying performance issues and continuously improving model and system quality. * Implement **AI security, governance, and responsible AI practices** to support reliable and compliant production deployments. * Translate cross-functional business and technical requirements into scalable, maintainable, and production-ready AI solutions.