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anjum_zahid

Anjum Zahid

@anjum_zahid

AI and ML Engineer

Pakistan
English, Urdu
About me
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.... Read more

Skills

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anjum_zahid
Anjum Zahid
Offline • 
Average response time: 5 hours

See my services

Deep Learning
I will custom ai, machine learning and deep learning solutions
From$100 / projectMore details
AI Chatbot Development
I will build ai whatsapp and multi platform chatbots
From$30 / projectMore details

Portfolio

Work experience

Self-Employed

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.