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Articles & Tutorials
Thoughts on AI, machine learning, deep learning, computer vision, and building production systems.
Understanding Mamba SSM: The Architecture That Could Replace Transformers
A deep dive into state-space models, the Mamba architecture, selective scan algorithm, and why it matters for efficient sequence modeling.
Building Production RAG Systems: A Practical Guide
Everything you need to know about building retrieval-augmented generation systems that actually work in production.
Fine-Tuning Vision-Language Models: A 3-Stage LoRA Approach
Learn how to efficiently fine-tune BLIP and other vision-language models using parameter-efficient techniques.
Detecting Hallucinations in LLMs: Semantic Consistency Approach
Research on detecting when language models produce inaccurate or fabricated information using semantic consistency analysis.
Computer Vision in 2026: Trends, Tools, and What to Learn
A comprehensive overview of the computer vision landscape in 2026, from foundation models to embodied AI.
Deep Learning for Genomics: Building Multi-Species Foundation Models
How deep learning is transforming genomics research and what it takes to build a genomic foundation model.
RAG Evaluation: Beyond Simple Accuracy Metrics
A systematic approach to evaluating retrieval-augmented generation systems for production quality.
PyTorch 2.x: What Changed and Why It Matters
Understanding the PyTorch 2.x compilation stack, torch.compile, and how to use it effectively.
My Data Science Workflow: From Raw Data to Production ML
A practical guide to my end-to-end workflow for building data science projects that ship.
Latest on Medium
MediumLoop Engineering? Lets Clear the Things With This
We spend hours prompting AI systems. Prompt. Review. Fix. Prompt again. What if we could automate that iteration itself?
My Experience Fine-Tuning a Vision-Language Model on Low Compute
Fine-tuning a VLM sounds exciting — until you try doing it with limited data and limited compute. Lessons from the trenches.
Unlocking the Future with Computer Vision: What It Is, Why It Is, How to Be?
Think about an era in which machines not only understand but also interpret what they see. They analyze images and videos just like humans.
Exploring the Fundamentals and Impact of Artificial Intelligence and Data Science
Exploring AI and Data Science in a simpler way — breaking down the fundamentals and real-world impact.
How to Get Started in Data Science?
Things you need to know to get started in Data Science — a beginner-friendly guide.