a
ajwa_zainab

AjwaZainab

@ajwa_zainab

AI Developer Machine Learning RAG Chatbots

Pakistán
Inglés, Hindi, Urdu, Punjabí, Coreano
Parte de la información aparece en idioma inglés.
Sobre mí
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.... Lee más

Habilidades

a
ajwa_zainab
AjwaZainab
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Integraciones de IA
I will build an ai chatbot or rag system with langchain and llms
DeUSD 100 / proyectoMás información
Implementación y despliegue de IA
I will build a computer vision app using yolov8 and meta sam
DeUSD 40 / proyectoMás información

Porfolio

Experiencia laboral

bangopure

Artificial Intelligence Engineer

bangopure • Tiempo parcial

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.