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Anjum Zahid
@anjum_zahid
AI and ML Engineer
Pakistan
Inglese, Urdu
Chi sono
AI & Machine Learning Engineer | AI Chatbots | Generative AI | Agentic AI | RAG
AI Engineer with 7+ years experience, specializing in AI Chatbots, Generative AI, Agentic AI, and RAG pipelines. I build scalable LLM-powered applications using Python, FastAPI, LangChain, LangGraph, FAISS, and OpenAI. Expertise in vector databases, semantic search, automation, and production deployment with Docker and AWS. Let’s build intelligent AI systems that scale.
Competenze
Anjum Zahid
offline •
Tempo di risposta medio: 5 ore
Consulta i miei servizi
Deep learning
I will custom ai, machine learning and deep learning solutions
Sviluppo di chatbot IA
I will build ai whatsapp and multi platform chatbots
Portfolio
Esperienza lavorativa
AI & Machine Learning Engineer | Generative & Agentic AI | NLP
Self-Employed • Full time
Sep 2023 - Present • 2 yrs 8 mos
-Built Agentic AI systems using LangGraph, MCP tool calling, and RAG, including healthcare compliance analysis (FDA/WHO, medical documents, imaging) and a conversational medical lab booking platform with FastAPI and Streamlit. -Developed LLM-powered applications with LangChain, LangGraph, FastAPI, and vector databases for automation, chatbots, and PDF QA systems. -Implemented RAG pipelines using Google Gemini, Qdrant, and document processing workflows. -Created AI automation workflows with LangGraph and MCP, integrating external APIs and LLMs (OpenAI, Groq). -Built AI chatbots, deployed FastAPI apps with Docker and CI/CD, and trained deep learning models (U-Net, ResNet50) for vision tasks.
Automation Engineer
Public Sector Utility Company • Part time
Jan 2019 - Present • 7 yrs 4 mos
Automated critical processes BOQ, billing and cost estimation using Python, significantly reducing manual effort and improving accuracy. Developed ML models and analytical dashboards for energy usage prediction, performance analysis, reporting, and forecasting, driving data-driven decisions. Streamlined cross-departmental data workflows, leading to reduced inefficiencies and improved data integrity.
