# Asher Kashif

Asher Kashif is a remote worker on Himalayas, ML Intern at FlyRankAI, based in Pakistan.

Source: https://himalayas.app/@asherkashif

```text
ML Intern at FlyRankAI analyzing SEO datasets and building ranked, reason-coded machine learning baselines.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Pakistan |
| Authorized to work in | Pakistan |
| Salary expectations | 30k+ USD |
| Job categories | AI Engineer, AI Engineer |
| Skills | Machine Learning, SEO Opportunity Ranking, Leakage Aware Feature Selection, Model Validation, Statistical Analysis, Generative AI, Large Language Models, RAG, Recommendation Systems, Python, Pandas, NumPy, SQL, scikit learn, TensorFlow |
| Website | https://asherport.netlify.app |
| LinkedIn | https://linkedin.com/in/asherkashif |
| GitHub | https://github.com/asherkashif |

## About

```text
At FlyRankAI, I analyze content and performance datasets to find actionable signals for SEO opportunity ranking. I build transparent rule-based machine learning baselines with scoring, reason codes, and ranked action queues.

I audit signals and validate hypotheses with statistical summaries and bucket analysis. I also apply leakage-aware feature selection and honest validation practices to machine learning workflows.

On my Multimodal AI Assistant project, I built document- and image-based question answering with Python, FastAPI, Streamlit, Gemini, and RAG. I added FAISS-based vector retrieval and connected separate document and image processing workflows through APIs.

I also added authentication, chat history, database integration, and PDF report generation to the assistant. For my Movie Recommender System project, I developed preprocessing and similarity-based recommendation logic to retrieve films from user preferences or a selected movie.
```

## Experience

### ML Intern (current)

FlyRankAI. Jul 2026 - Present

```text
Working as an ML Intern focusing on practical machine learning and data-driven SEO opportunity ranking. Analyzing large-scale datasets, building rule-based ML baselines, and applying leakage-aware feature selection and honest validation practices.
```

Skills: Python, Pandas, NumPy, SQL, Git, Machine-Learning, Data-Analysis, Feature-Selection, Validation

## Education

### Muhammad Nawaz Sharif University of Engineering & Technology, Multan

Bachelor's Degree, Computational Science. 2023 - Present

```text
Pursuing a Bachelor's degree in Computational Science, expected to graduate in July 2027.
```

## Tech stack

- GitHub
- Jupyter
- NumPy
- Pandas
- Python
- TensorFlow
- scikit-learn
- Keras
- Streamlit
- Flask
- FastAPI
- Gemini
- Git
- Docker
- SQL
- LangChain
- Faiss
- Matplotlib

To contact Asher, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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