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About Me

I’m a B.Tech AI student from India 🇮🇳, focused on building real, end-to-end AI/ML systems — not just training models in notebooks.

I enjoy the engineering side of ML: pipelines, evaluation, APIs, debugging, and turning experiments into usable systems.

Currently seeking ML / AI / GenAI internships and startup roles where learning speed and ownership matter.


Development Philosophy

  • Systems over notebooks
  • End-to-end > demos
  • Break things to understand them
  • Measure before optimizing
  • Done > Perfect


🛠️ Technical Skills

Programming Languages

Python

C++

C

Machine Learning & Data

NumPy

Pandas

scikit-learn

XGBoost

Matplotlib

Seaborn

Deep Learning & Computer Vision

TensorFlow

PyTorch

Keras

OpenCV

Generative AI & LLM Systems

LangChain

OpenAI

Hugging Face

Vector DBs

ML Engineering & APIs

FastAPI

Streamlit

Docker

AWS

Tools & Workflow

Git

GitHub

Jupyter

VS Code

Linux

My Expertise

End-to-End ML Systems

Designing pipelines from raw data to deployable ML systems.
GenAI for Real Workflows

RAG, agents, and deterministic logic working together.
Engineering Mindset

Debugging failures, understanding trade-offs, building robust systems.

💡 “Good ML models are rare. Good ML systems are rarer.”

Open to ML / AI / GenAI internships & startup roles


👨‍💻 Always happy to connect — collaborate, discuss ML systems, or exchange ideas.



Crafted by Mohammad Faraz Rajput


Building in public • Learning continuously • Shipping systems



Made in India

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  1. hybrid-recommender-system hybrid-recommender-system Public

    A Hybrid Recommendation System combining Content-Based Filtering and Collaborative Filtering using the MovieLens 100K dataset. Includes TF-IDF embeddings, user–item matrix factorization, and a fina…

    Jupyter Notebook 1

  2. Saadat-Ahmad/amulate Saadat-Ahmad/amulate Public

    Python

  3. plant_disease_prediction_ml_dl plant_disease_prediction_ml_dl Public

    Jupyter Notebook