Based in Mumbai | Targeting Germany

Yasir Javed Khan

AI Engineer & Machine Learning Developer

Computer science student focused on Machine Learning, Deep Learning, and Data Science. Building practical ML projects and deployment-ready systems for internship and junior roles in Germany.

3+
Years Building
Python + C++
Core Stack
Open
To Work
yasir.py
# profile.py
class Engineer:
  name = "Yasir Javed Khan"
  location = "Mumbai, India"
  target = "Germany"
  focus = [
    "Machine Learning",
    "Deep Learning",
    "MLOps"
  ]
  available = True
if __name__ == "__main__":
  engineer = Engineer()
  engineer.deploy("fastapi")
About

Background

Who I am and what I'm working toward.

I'm Yasir Javed Khan, a self-driven student from Mumbai, India, with a deep interest in Artificial Intelligence and Software Development. I've been writing code for over three years, primarily in Python and C++.

I'm currently deepening my knowledge in Machine Learning, Deep Learning, and data science workflows, with a growing focus on model deployment, experimentation, and production-oriented AI systems. My goal is to pursue higher education and a professional career in Germany, where I plan to contribute to impactful technology projects.

I enjoy building projects that solve real problems, from training classification models to building interactive data dashboards. I value clean code, clear documentation, and continuous learning.

// Actively seeking internships and junior roles in AI / ML / Software Development, open to relocation to Germany.

YK
Yasir Javed Khan
AI Engineer
Location
Mumbai, India
Target Relocation
Germany
Primary Stack
Python + C++
Role Type
Internships & Junior Roles
Experience
3+ years programming
Skills

Technical Stack

Technologies I work with regularly.

Languages
Python85%
C++72%
Problem Solving78%
AI / Machine Learning
TensorFlow / Keras75%
scikit-learn78%
PyTorch60%
Data & Tools
NumPy Pandas Plotly Matplotlib Git / GitHub Jupyter VS Code Linux CNNs EDA
Projects

Selected Work

Applied AI, machine learning, and data science projects.

01
Image Classifier (CNN)

Developed a high-accuracy CNN to automate visual categorization and demonstrate real-time inference capability on CIFAR-10 image data.

Accuracy 91%
Dataset CIFAR-10
Epochs 25
  • Implemented CNN architecture with convolutional, pooling, and dense layers
  • Trained on a curated dataset with data augmentation for improved generalization
  • Evaluated with confusion matrix and classification report
Python TensorFlow Keras CNN NumPy
02
Data Analysis Dashboard

Built an interactive analytics workspace to speed up dataset inspection, trend discovery, and decision-making without relying on a notebook workflow.

Libraries 3 core tools
Analysis Views 3 chart types
Deployment Web app access
  • Data cleaning, preprocessing, and statistical analysis using Pandas
  • Interactive charts visualizing distributions, correlations, and trends
  • Deployed as a Streamlit web app for zero-setup access
Python Pandas Streamlit Plotly
03
MLOps Pipeline for Model Serving

Designed an end-to-end MLOps workflow to reduce friction between experimentation and deployment by turning trained models into a reproducible serving pipeline.

Pipeline Train to API
Serving FastAPI + Docker
Tracking MLflow logs
  • Structured the workflow for preprocessing, training, model versioning, and reproducible deployment
  • Exposed predictions through a FastAPI service packaged for local serving and handoff
  • Tracked experiments and model outputs to make evaluation and iteration more systematic
Python FastAPI Docker MLflow
Contact

Let's
Connect.

Available for internships and junior roles in AI and Software Development, especially in Germany. Open to remote roles too.

Internship Ready Remote Friendly Germany Focused
Send a Message

Share the role, project, or idea you're working on and I'll reply with the best next step.

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