Blog
notes on applied ai, systems, and engineering
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Building Mentis: A Memory Layer for Coding Agents
How Mentis stores coding-agent attempts, retrieves related tasks, and marks outdated conclusions.
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Sandboxing Coding Agents
Building a coding harness and a sandboxing platform to create self-driving development.
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Making Agents Play Pictionary
A turn-based drawing-and-guessing game where AI agents compete
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My Codebases Have an AI Receptionist Now
I built an agentic codebase navigator that lets engineers and recruiters ask anything about my projects, no RAG, no embeddings, just pure read-and-reason.
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Implementing An SQS Like Message Queue System
I built a rudimentary AWS SQS clone with managed queues, visibility timeouts, DLQs.
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How I Used PostgreSQL, Groq & Vercel's AI SDK To Create A Chatbot For My Portfolio Website
My portfolio website contains a decent amount of text data, so I implemented a chatbot to interface with it.
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Designing a Deterministic, Low Latency Decision Engine with C++
A high performance, deterministic decision tree engine built in C++ that evaluates rules via gRPC with low latency, hot reloadable trees, and production ready observability.
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Simulating vLLM's PagedAttention
An implementation of a simulation of PagedAttention in Python
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Making A Peer Review System for My Blogs Using Google-ADK & Mem0
I needed an automation peer review my blogs, so I used Google-ADK and Mem0 to create an end to end system.
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Training a Mixture-of-Experts Router
I was curious about MoEs, so I implemented and tested one.
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Building a Vector Database from Scratch - CapybaraDB
A custom implementation of a toy vector database
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Be Curious About Your Compute
After facing a blocker related to hardware, I decided to deep dive into it: An Explainer
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How I Built an Automated Social Media Workflow with LangGraph
For me, posting on social media is a tedious task and repetitive task: draft → edit → get feedback → post. So I used Langgraph and some AI magic sauce to automate away these tedious jobs.
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SHAP values for GBTs – intuition + how they work internally
This blog explores how Gradient Boosted Trees can be explained using PDP, ICE, and SHAP — with TreeSHAP making black-box models transparent and highly interpretable.
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Welcome to My Blog
Introducing my new blog where I'll share insights about software engineering, AI, and technology.