Furqan Ahmed

Furqan Ahmed

Building practical AI systems including LLM -based RAG pipelines, Agentic AI architectures and end-to-end Machine Learning and Deep Learning solutions. Strong foundations in Data Sciene theory combined with hands-on system design and deployment-ready projects.

Featured Projects

Offline RAG System

Offline Retrieval-Augmented Generation (RAG)

Fully local RAG system combining dense embeddings and BM25 to reduce hallucinations and answer post-cutoff queries.

Code
Autonomous AI Research Agent

Autonomous AI Research Agent

An agentic AI system capable of planning, retrieving, summarizing, and synthesizing research outputs with minimal human intervention.

Code
News Document Classification System

News Document Classification System

An end-to-end machine learning pipeline for classifying news articles into predefined categories.

Code

Technical Skills

Programming & Tools

  • Python
  • Git, Linux
  • Streamlit
  • LaTeX, Markdown

Frameworks & Libraries

  • LangChain
  • PyTorch, TensorFlow
  • Scikit-learn
  • NumPy, Pandas

Machine Learning & Deep Learning

  • Supervised & Unsupervised Learning
  • Neural Networks (CNN, RNN)
  • Model Training & Evaluation
  • Feature Engineering

LLMs & RAG Systems

  • Retrieval-Augmented Generation (RAG)
  • Embeddings & Vector Search
  • Prompt Engineering
  • Ollama, LLaMA 3

Agentic AI

  • Tool-Using Agents
  • Planning & Reasoning Loops
  • Memory & State Management
  • Autonomous Workflows

Information Retrieval

  • BM25 & Sparse Retrieval
  • Dense Retrieval
  • Hybrid Search
  • Reciprocal Rank Fusion (RRF)
  • Re-ranking Strategies

Certifications

Crash Course on Python

Crash Course on Python

Issued by Google

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Machine Learning Specialization

Machine Learning Specialization

Issued by DeepLearning.AI & Stanford

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Deep Learning Specialization

Deep Learning Specialization

Issued by DeepLearning.AI

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Mathematics for Machine Learning

Mathematics for Machine Learning

Issued by Imperial College London

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