Open to opportunities

Muhammad Farhan

@muhammadfarhan11

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I build agentic AI, RAG applications, and data-driven machine learning solutions.

Pakistan

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I built AgriNexus AI, a multi-agent agriculture advisory platform that orchestrates crop, soil, and yield agents through LangGraph, FastAPI, PostgreSQL, and Next.js.

I also developed DocQuery AI, a RAG chatbot for semantic PDF search, processing 50+ page documents in under 10 seconds and delivering 85%+ answer relevance. My LawGPT legal-assistance model placed first among 15+ teams at ZAB-E-Fest 2025 by grounding LLM responses in Pakistan-specific legal texts.

As a Data Scientist Intern at CodeAlpha, I've delivered stock prediction, salary analysis, and Iris classification models using Python, scikit-learn, Pandas, and NumPy.

I'm pursuing a B.S. in Artificial Intelligence at SZABIST and have also co-led a robotics team through design, build, and live demonstration at ZABEFEST.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist Intern

Current

CodeAlpha

Apr 2026 - Present (4 months)

Engineered a stock price prediction model using time-series analysis and regression algorithms with scikit-learn, achieving consistent trend forecasting across 3+ market datasets. Designed and executed a salary analysis pipeline using Pandas and NumPy, processing 10,000+ data points to surface compensation patterns across roles and industries.

scikit learn Pandas NumPy Time Series Analysis regression data preprocessing Model Evaluation

Education

Degrees, certifications, and relevant coursework

SZABIST University

Bachelor of Science, Artificial Intelligence

2024 -

Grade: 3.15 / 4.0

Pursuing a Bachelor of Science in Artificial Intelligence with a GPA of 3.15/4.0. Coursework includes Machine Learning, Data Structures & Algorithms, Database Systems, and Software Engineering.