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anjum_zahid

Anjum Zahid

@anjum_zahid
5,0(1)

AI and ML Engineer

Paquistão
Inglês, Urdu, Alemão, Espanhol
Algumas informações são exibidas no idioma inglês.
Sobre mim
AI & Machine Learning Engineer | AI Chatbots | Generative AI | Agentic AI | RAG I have more than seven years of experience in the field of AI Engineering. My specialties are AI ChatBots, Generative AI, Agentic AI and RAG pipelines. Develop LLM powered applications with Python, FastAPI, LangChain, LangGraph, FAISS and Chroma DB. I am adept with skills related to vector databases and semantic search, automation, and getting things into production with Docker and AWS. Lets create AI systems that can grow and expand.... Saiba mais

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anjum_zahid
Anjum Zahid
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Tempo médio de resposta: 1 hora

Conheça meus serviços

Implementação e Implantação de IA
I will build a custom ai chatbot with rag, langchain, and llms
5,0(1)

Portfólio

Experiência profissional

Self-Employed_/ Freelancer

AI & Machine Learning Engineer | Generative & Agentic AI | NLP

Self-Employed / Freelancer • Período integral

Sep 2023 - Present • 3 yrs 1 mo

Developed AI-based Agentic systems with LangGraph, MCP tool calling, and RAG for various applications such as a medical lab booking platform with FastAPI and Streamlit and a healthcare compliance analysis system (FDA/WHO, medical documents, imaging). Implement automation, chatbots, PDF QA systems using LLM-powered applications with LangChain, LangGraph, FastAPI and vector databases. Created RAG pipelines with Google Gemini, Qdrant, and document processing workflows. Built AI automation workflows using LangGraph and MCP, connected external APIs and LLMs (OpenAI, Groq). Developed AI chatbots, deployed FastAPI applications using Docker and CI/CD, and trained deep learning models (U-Net, ResNet50) for vision applications.

Automation Engineer

Public Sector Utility Company • Meio período

Jan 2019 - Present • 7 yrs 9 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.

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    5

    Great experience! The RAG application was successfully executed on my uploaded document and I could ask questions and get answers. I got good direction through set up and testing from the developer. I was very happy with the assistance provided along the way. Highly recommended!

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