Welcome, AI Engineers!

👋🏽 I’m Anup. I’m an AI and Software Engineer with over two decades of technology leadership experience. I focus on designing and deploying production-grade Generative AI and Agentic AI systems that solve real business problems at scale. I combine deep technical expertise with architectural thinking to build systems that are reliable, interpretable and aligned with human values.

This site is where I share what I’m working on and learning. You’ll find my projects, a list of tools and podcasts I like, and a growing collection of “Today I Learned” notes at anup.io/til. My newsletter (anup.io/blog), The AI Engineering Brief, explores the evolving landscape of AI engineering with practical architectures, deep dives into protocols like MCP, A2A and agentic frameworks, and applied insights that connect research with real-world deployments.

Whether you’re building RAG pipelines, experimenting with multi-agent systems or thinking about how AI will reshape software, you’ll find frameworks, essays and reflections here to help you stay ahead of the curve. Subscribe to get new content delivered to your inbox.

AI Strategy

Stop Planning Your AI Strategy and Start Running Experiments

20 Oct

Introducing AI Engineering Premium

When I started this newsletter, my goal was simple: to explore how AI systems are actually built. Over time, it’

18 Oct

RAG

Rethinking RAG: Meta’s REFRAG

For the past few years, retrieval-augmented generation (RAG) has been the workhorse architecture for grounded LLM applications. You retrieve relevant

15 Oct

Nobody Knows How to Charge for AI

I've been watching the AI SaaS pricing chaos unfold over the past year, and honestly, it's

13 Oct

AI Agents

MCP + A2A: The Protocols Making AI Agents Actually Work Together

I presented this at the AI Engineer meetup in London. It is a short, practical overview of why agent interoperability

09 Oct

Vibe Coding

Cargo Cult Vibe Coding

In the age of AI code generation, we risk trading craftsmanship for ritual It's the 1940s in the

04 Oct

AI Engineering

The Rubber Duck That Talks Back

How AI is Teaching Developers to Think Before They Code

10 Aug

Vision Transformer (ViT) Paper PyTorch Implementation

Replicated the famous Vision Transformer paper using PyTorch to improve my understanding of Transformer architecture applied to vision problem(s)

Matrix-themed Chat Interface

Matrix-themed Chat Interface Built an immersive Matrix-themed chatbot interface leveraging Heroku's AI inference and agent APIs. The project

EfficientNetB2 Computer Vision Model

An EfficientNetB2 feature extractor computer vision model to classify images of food as pizza, steak or sushi. The model performs

Wispr Flow

Ever since I started using Wispr Flow, I get ideas out faster without breaking focus. It’s more accurate than Apple’s native transcription, adapts to my style, and saves me loads of time by turning speech into clean, structured text instantly.

Workflowy

Workflowy is a minimalist, endlessly nested outliner that helps you organise thoughts, tasks, and notes without distractions. It lets you zoom into bullets, structure ideas hierarchically, and switch views. It's simple but incredibly powerful.

Plaud AI

Plaud AI is a card‑sized, AI‑powered note‑taker that transcribes and summarises meetings with speaker labels, real‑time highlights, multilingual transcription, and ‘Ask Plaud’ querying. It’s like having a smart, hands‑free assistant for meeting notes.

Comet

Comet by Perplexity is now my default browser. I use it for search, shopping, email, and calendar. With Shortcuts, I can trigger workflows on websites that draft outreach or gather research. It feels like browsing with superpowers.

AI for Humans

Educational, light-hearted discussions breaking down AI concepts

Google DeepMind: The Podcast

Research-focused, neuroscience-inspired models, safe and ethical AI

Latent Space

Technical updates, real-world engineering, foundational models

NVIDIA AI Podcast

In-depth interviews on AI transforming industries