About
Building in AI & Data Science
One Public Project at a Time.
Hey, I'm Vinod Kumar — an engineering student documenting a structured public journey through Artificial Intelligence, Machine Learning, Deep Learning, NLP, Generative AI, and real-world AI systems. This blog is where I learn openly, build consistently, and share everything honestly — including mistakes, experiments, notebooks, and implementation insights.
About Vinod Codes
I started this blog in April 2026 because I wanted a place where I could genuinely document my growth in AI and Data Science without pretending to already know everything.
Most technical content online feels overly polished or textbook-like. But real learning isn't linear. Some days concepts click instantly. Other days you spend hours debugging a preprocessing pipeline because of a tiny encoding issue or shape mismatch.
This blog exists to capture that real process.
Every article here is written from my own implementation experience: coding notebooks, testing models, understanding theory deeply, and connecting concepts together instead of memorising isolated topics.
The NLP by Vinod Series
The main project on this blog is a long-term structured learning series called NLP by Vinod.
The goal is ambitious but simple: to move step-by-step from NLP fundamentals all the way to modern AI systems involving Transformers, LLMs, Retrieval-Augmented Generation, deployment, and production-level applications.
Level 1 — Foundations
Python for NLP, preprocessing, text representation, regex, embeddings, linguistic concepts, NLP libraries, and classic NLP tasks.
Level 2 — Deep Learning
Neural networks, sequence models, RNNs, LSTMs, attention mechanisms, Transformers, and BERT-style architectures.
Level 3 — Advanced NLP
Transfer learning, summarisation, chatbots, translation systems, speech AI, multimodal systems, and GenAI workflows.
Projects & Deployment
Real-world AI projects, APIs, deployment pipelines, cloud integrations, and end-to-end NLP applications.
My Learning Journey
April 2026 — Started Vinod Codes
Launched the blog and began documenting the NLP learning roadmap publicly with implementation-focused notes and notebooks.
Building Publicly
Started maintaining notebooks, GitHub repositories, coding experiments, preprocessing pipelines, and project-based AI learning.
Current Focus
Deep Learning, NLP pipelines, Transformers, practical ML systems, and preparing for real AI engineering opportunities.
Topics I’m Exploring
GitHub & Open Work
Most notebooks, experiments, and learning projects connected to this blog are available publicly on GitHub.
I strongly believe learning becomes faster when you build openly and consistently instead of waiting until everything becomes perfect.
GitHub Repository
Repository: github.com/vinod-kaumar/NLP-by-vinod
Includes notebooks, preprocessing experiments, regex practice, NLP foundations, and future deep learning implementations.
This Blog Is Growing in Real Time.
Every new article represents another step forward in AI Engineering, Machine Learning, NLP, and Deep Learning. If you're also learning, building, or exploring this space — you're welcome here.
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