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hasnainyaqub/README.md

Hasnain Yaqoob

AI Engineer

Profile Views

Overview

I design and build intelligent, production-ready AI systems with a focus on applied machine learning, large language models, and generative AI. My engineering work spans the full lifecycle - from data processing and model development to API design and deployment.

Currently deepening my expertise in LLM systems, RAG pipelines, Agentic AI workflows, and FastAPI-based backend architecture to deliver robust, end-to-end AI solutions.

Technical Skills

Languages              Python · SQL
Machine Learning       Scikit-learn · TensorFlow 
Deep Learning          CNNs · RNNs · Transformers
Natural Language       NLTK · spaCy · LangChain
Data Engineering       Pandas · NumPy
Visualization          Matplotlib · Seaborn · Plotly

LLM & GenAI            Hugging Face Transformers · Prompt Engineering
Vector Databases       FAISS · Chroma · Pinecone
RAG Pipelines          Retrieval-Augmented Generation · Agent Systems

Backend                FastAPI · REST APIs · Async Python (asyncio)
Deployment             Docker · Git & GitHub · GitHub Actions (CI/CD)

Areas of Focus

  • Production deployment of ML and LLM-powered applications using Docker and CI/CD
  • Retrieval-Augmented Generation (RAG) systems with vector database integration
  • End-to-end AI platform design with FastAPI and async backend architecture
  • MLOps practices: containerization, version control, and automated pipelines
  • Open-source contributions in applied AI and generative systems

Contact

Open to AI engineering roles, research collaborations, and open-source projects.

Platform Link
linkedin.com/in/hasnainyaqoob
hasnainyaqoob.site
kaggle.com/hasnainyaqooob
x.com/Hasnain_Yaqoob_

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  1. research-agent research-agent Public

    A production-level autonomous research system built with LangGraph, FastAPI, and LLMs — automatically researches a topic, analyzes sources, writes a long-form report, and reviews the output.

    Python 1

  2. END-to-END-RAG-System END-to-END-RAG-System Public

    A production-ready, scalable Retrieval Augmented Generation (RAG) API built with FastAPI, LangChain, Groq, and FAISS.

    Python

  3. IBA_Sukkur_Chatbot IBA_Sukkur_Chatbot Public

    An AI-powered assistant built to answer queries related to the Institute of Business Administration Sukkur using a Retrieval Augmented Generation (RAG) approach. The system delivers accurate, conte…

    JavaScript

  4. Projects Projects Public

    A collection of beginner to intermediate-level Data Science & Machine Learning projects using Python, Pandas, Scikit-learn, Tensorflow, and more.

    Jupyter Notebook 3

  5. 6_Months_of_Data_Science_and_AI 6_Months_of_Data_Science_and_AI Public

    A portfolio of my data science projects, including exploratory data analysis (EDA), machine learning, deep learning, and data visualization using Python, Pandas, NumPy, Plotly, Seaborn, and more.

    HTML 3

  6. Agentic_AI_using_LangGraph Agentic_AI_using_LangGraph Public

    learning Agentic AI using LangGraph

    Jupyter Notebook