Portfolio

Data science, ML systems, and backend platforms

Yash Prajapati

I build practical machine learning pipelines, real-time backend systems, and API-first products that turn messy technical problems into reliable software.

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M.Sc. Data Science student at TUHH, based in Hamburg. Open to working student, internship, and research-driven engineering opportunities.

Current focusAvailable

Applied ML, MLOps, computer vision, distributed backend services, and developer tools.

PythonTensorFlowPyTorchJavaGolangKafkaDockerAWS

98%Accuracy on a Siamese Network facial recognition project.

1,000+Devices supported in a real-time Network Monitoring System.

18%Model accuracy improvement through feature engineering.

28%Latency reduction using async event-driven messaging.

Featured work

Portfolio case studies

These projects show the range I enjoy most: production-minded data science, high-throughput backend services, and tools that make technical workflows easier.

Network Monitoring System

Real-time infrastructure monitoring with Vert.x, Go plugins, ZeroMQ, Kafka, SQL storage, and a React dashboard.

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JavaGoKafkaReact

CodeCraftPro

Collaborative coding platform with real-time editing, workspace management, authentication, and Socket.IO synchronization.

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Node.jsReactSocket.IOMongoDB

One-Shot Face Recognition

CNN-based Siamese Network for facial recognition using contrastive learning, TensorFlow, OpenCV, and data augmentation.

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TensorFlowOpenCVDeep Learning

Experience

Engineering with measurable outcomes

My work spans ML pipelines, network monitoring platforms, REST APIs, and collaborative software development across research, public-sector, and product environments.

BISAG-N

Software Developer - Data Science and ML. Built ML pipelines, tracked experiments with MLflow, and improved model reproducibility across geospatial datasets.

Motadata

Software Developer Intern. Built real-time NMS components with Java, Go, SQL databases, and async messaging for monitoring infrastructure at scale.

tecrave inc.

Software Development Intern. Built a Django CRM portal, optimized MySQL data access, and documented APIs with Swagger/OpenAPI.

Writing

Modern engineering notes

I use the blog to explain how I approach systems, ML projects, and developer tools.

Real-time monitoring systems

How Vert.x, Go, Kafka, and ZeroMQ fit together in a scalable monitoring platform.

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Siamese Networks

A practical walkthrough of one-shot facial recognition and contrastive learning.

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MLOps for applied ML

Lessons from reproducible model training, validation, and experiment tracking.

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