This is where I share my learnings!
It can be technology, physical strength, mental health, life.
Journaling, jotting down thoughts, and sharing knowledge with others can create mental
clarity!
Since childhood, I have liked to scribble and jot down my thoughts on a notepad while I read books. These days, reading on screens is becoming inevitable. There are lots of great bloggers and writers who share their learnings. I plan to do the same in this blog and write about life learnings, hacks, and strategies that work and don't work, technology, business, mental health, and physical health routines that include diet and exercise routine that works for me.
Recent Blog posts
Browse all the posts or click on interested categories above!
Hold the Line: Screening 534 Robocalls in 16 Seconds With an AI That Can't Talk Back
A scam gate for my phone, built on Jev, an AI that answers questions with probabilities instead of text, and on the bank message that showed why one confident number isn't enough.
Say It, Don't Type It: Kadence, a Voice-Only TPM for Linear
Building a self-hosted, sub-two-second voice agent for Linear — Whisper, Qwen 2.5 and Kokoro on one GPU, with constrained decoding that makes a hallucinated action structurally impossible. What worked, what broke in real meetings, and why I stopped.
Prefill, Decode, and the Quiet Third Job: Reviewing vLLM's Guide to Disaggregated Serving
Why long prompts make every stream stutter, when splitting prefill from decode pays off, and why tokenization belongs off the GPU, with a first-principles simulator that reproduces the guide's benchmark.
Tiny CLM: Teaching a 1.7B Model to Manage Its Own Memory for $5
Context Language Models says a model can learn to edit its own memory, and that a compute-cost reward teaches it to edit cheaply. I tested both on a 1.7B model, one GPU and $4.65. The first claim held. The second taught me something the paper didn't.
Context Language Models, Dissected: Letting the Model Edit Its Own Context, the Math Behind It, and Where I Disagree
A section-by-section review of Context Language Models (Shao et al., 2026): the formalism, prefix-reuse FLOPs, stepwise GRPO with a success-gated efficiency advantage, and Suffix Cache Reuse, with refreshers along the way.
Two Locks and a Pipe: A Local-First Outreach Engine Your Own AI Agent Can Drive
The outbound engine we built instead of handing our contact list, our mailbox and our prospects' personal data to somebody else's cloud. Open source, built on OpenWorker and OpenClaw.
Meritclaw: A Multi-Model Pipeline That Fills Job Applications
Forty minutes an application, a hundred and fifty applications in a serious search. Meritclaw finds the jobs, rebuilds a LaTeX resume for each under a structural gate, and completes any employer's form by reading the page rather than matching selectors. 57 applications across 12 ATS platforms at 53 cents each.
Take Away the Pen: Reviewing 94 Contracts for 4 Cents With an AI That Can't Write
Jev can't write a single word. It answers questions with odds. I pitted it against Claude, a fine-tuned ModernBERT and an open replica on 94 contracts labeled by lawyers. Here is what held up, and what didn't.