Data Science Insights & Ideas
From machine learning techniques to AI research, these articles offer insights to help you build smarter models, solve data challenges, and apply AI in the real world.
Tutorials
Mar 15, 2025
Building LLM Pipelines from Scratch: Transformers to Production
A practical walkthrough of building production-ready LLM pipelines — from transformer architecture fundamentals to deploying scalable inference on AWS SageMaker.
Insights
Feb 20, 2025
How I Hit 1700+ Tokens/Sec at the Velric × Foundery Hackathon
A technical breakdown of how our team secured 3rd place in the Agentic AI track — achieving 1700+ tokens/sec throughput across 16 concurrent requests with 11–13ms TTFT via FP8 quantization.
Tutorials
Jan 10, 2025
NLP Pipelines with spaCy and Scikit-learn: A Production Guide
How to build scalable NLP pipelines using spaCy and Scikit-learn that process 10K+ records reliably — lessons from reducing manual review workload by 45% at Oasis Infobyte.
Tutorials
Apr 10, 2025
Getting Started with ROS2: Multimodal Data Collection for ML
A practical introduction to using ROS2 for collecting synchronized camera, IMU, and telemetry data for training machine perception models — based on real work with the Unitree Go1 robot.
Resources
Jan 25, 2025
AWS ML Engineer Certification: What I Actually Learned
Honest takeaways from passing the AWS Certified Machine Learning Engineer – Associate exam — what the certification tests, what it misses, and how to apply it to real ML engineering work.