ÖUÖmer · online
Working on inference optimization tooling. $ orchestrator status
118ms nDCG 0.371cache off
flags.yaml
formula.tex1/7
Cortex-01· neural instrumentSN 0x2A·26
CH 01 · IDLElive
drag to rotateturn the knob
CH 01 / 06♪ pad
Resting state
40 symbols · 20,000 points
Hold
Vol
Ömer Ulucan
Building systems that think.
AI · Backend · Applied MathematicsDallas, TX · --:--:-- --
01 — Selected work
Infrastructure that handles real complexity.
Neural Search Engine
Hybrid retrieval for technical documentation, fully local. Every query runs dense BGE-large and SPLADE sparse retrieval in Qdrant and fuses the two rankings with weighted Reciprocal Rank Fusion. A LangGraph router and a local Gemma model turn the results into cited answers.
0.371nDCG@10 on BEIR CQADupStack test (BM25: 0.293)
0.761Recall@100, dev-tuned weighted RRF
50msp50 retrieval: both encoders, Qdrant, fusion
02 — Now
Updated Feb 20, 2026 · Dallas --:--:-- --
Processes currently running.
proc/01
Building
Working on inference optimization tooling — making LLMs faster and cheaper to serve at scale.
1 / 3
proc/02
Learning
Category theory and its applications to software architecture.
1 / 3
proc/03
Reading
Designing Data-Intensive Applications by Martin Kleppmann (re-reading)
1 / 3
proc/04
Thinking About
How to build developer tools that don't fight the user's mental model.
1 / 3
$ htop --user omerload 0.00 · tasks 4 running
PIDCOMMANDCPUSTATE 1042 0% R1059 0% R1076 0% R1093 0% R
03 — Writing
5 essays · click to read
Let's build · train the network Wire your problem
Wire your problem
into my brain.
input · your problem hidden· output
tap the inputs on the left · watch the activations · forward pass
96.4%P(good fit)
decoded plan
est. 5–8 weeks · 18 active weights 01hybrid retrieval with cross-encoder reranking