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ajwa_zainab

AjwaZainab

@ajwa_zainab

AI Developer Machine Learning RAG Chatbots

Pakistan
Englisch, Hindi, Urdu, Punjabi, Koreanisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
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.... Mehr lesen

Kompetenzen

a
ajwa_zainab
AjwaZainab
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

KI-Integrationen
I will build an ai chatbot or rag system with langchain and llms
Ab100 $ / ProjektWeitere Details
KI-Implementierung und -Bereitstellung
I will build a computer vision app using yolov8 and meta sam
Ab40 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

bangopure

Artificial Intelligence Engineer

bangopure • Teilzeit

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.