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Hammad Farooq
From Pakistan 06:44 PM (GMT+05:00)
$10/hr or $15,000/yr

Active over a week ago


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Data Scientist, Ai/ML Engineer

Data Scientist
Available for hire
Years of experience
3+ years
Experience level
Mid-level

I am Hammad Farooq, a Data Scientist and AI Engineer specializing in building end-to-end AI systems, LLM-powered applications, and scalable machine learning pipelines. I have hands-on experience with Python, LangChain, PyTorch, and cloud-based AI services such as Azure AI, and I focus on developing production-grade solutions including RAG-based chatbots, AI agents, and real-time voice assistants. As a Kaggle Grandmaster with strong global competition rankings, I have contributed extensively to machine learning and NLP projects, publishing hundreds of notebooks and datasets. Currently, I work as a freelance AI developer, delivering intelligent automation systems and integrating large language models into real-world business workflows using tools like FastAPI, vector databases, and modern MLOps practices.

Employment History

Machine Learning Engineer at Arch Technologies Current 2025 - Now
• Built ARIMA time-series forecasting models with temporal feature engineering for business analytics. • Developed regression pipelines for house price prediction using Scikit-learn with end-to-end preprocessing. • Implemented CNN-based image classification on MNIST using PyTorch for handwritten digit recognition.
Data Scientist & AI Developer at Freelance Current 2025 - Now
• Architect and deliver end-to-end AI solutions using Python, LangChain, LLMs (GPT-4o, Ollama), and FastAPI for international clients. • Build production RAG pipelines integrating vector databases (FAISS, Chroma) with multi-source document ingestion and retrieval. • Develop AI-powered agents with memory, tool use, and multi-step reasoning using LangChain Agents and Chains. • Deploy scalable AI applications on cloud platforms with FastAPI and LangServe; manage full CI/CD workflows via GitHub.
Kaggle Grandmaster | Data Scientist at Kaggle Current 2023 - Now
• Achieved 2× Kaggle Grandmaster ranking in Datasets (#14 globally) and Notebooks (#18 globally). • Published 620+ notebooks and 154+ datasets on machine learning, NLP, and AI systems. • Ranked 32/2673 teams in the Akkadian Translation competition using fine-tuned ByT5 models. • Built ML pipelines, RAG systems, predictive models, and hybrid retrieval solutions using Python and Scikit-learn. • Active participant in global AI competitions including ARC-AGI, Legal Information Retrieval, and NVIDIA reasoning challenges.

Education

Bachelor of Data Science at Virtual University of Pakistan Current 2024 - Now
Intermediate in Computer Science at Punjab Group of Colleges 2022 - 2024