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A
air-runtime
An inference runtime for constrained hardware that combines speculative decoding, smart routing, and KV-cache compression to make smaller devices more useful.
ResearchInferenceEdge AIInferenceKV cache
01
C
council-cli
A multi-agent coding roundtable that turns model disagreement into a visible review process for architecture, implementation planning, and technical critique.
ProjectAI ToolsAI agentsCode reviewDecision systems
02
O
orcha
A multi-agent orchestration layer that distributes work across Codex, Claude, Gemini, and Kimi so parallel model effort becomes a usable execution workflow.
ProjectAI ToolsAI agentsTypeScriptOrchestration
03
V
voltage-kalshi
A live Kalshi volatility stack built around streaming BTC data, feature engineering, and model-driven execution with real capital on the line.
ProjectTradingLightGBMPatchTSTWebSockets
04
W
whaleflow
A Rust-first execution system for mirroring high-signal wallets on Polymarket with low latency, deterministic handling, and operator-visible control loops.
ProjectTradingRustOn-chain analyticsExecution systems
05
A
Amazon Seller Automation
Inventory, pricing, and listing automation pipelines for Amazon FBA with Python and scheduled workers.
ProjectAutomationPythonE-commerceWorkflow
06
A
Automation Scripts & CLIs
Collection of small Python and shell tools: file pipelines, scrapers, and personal infrastructure.
CodeCodePythonBashCLI
07
D
Daniel Search
This portfolio. A personal search experience: Spotlight meets Google meets project gallery.
AppWeb AppsNext.jsTypeScriptTailwind
08
G
Guided Portfolio Search
Recruiter-facing search flow grounded in structured profile and project context. Designed as the stepping stone toward a source-backed AI assistant.
ProjectAI ToolsSearch UXPortfolioProduct Design
09
I
Interactive Research Canvas
Visual notebooks for market maps, technical explainers, and investor-facing research deep-dives.
ResearchResearchVisualizationNotesStrategy
10
Y
YPB Ultrasounds
Web product for an ultrasound clinic: booking, content, and a clean patient experience.
AppWeb AppsNext.jsHealthcareProduct
11
A
Adaptive Inference at the Edge: Speculative Decoding and KV-Cache Compression
The bottleneck for edge LLM workloads is usually the runtime, not just the model. air-runtime packages smart routing, speculative decoding, and KV-cache compression for constrained hardware.
WritingWritingEdge AI10 min read
12
I
Inside voltage-kalshi: Building a Kalshi BTC Volatility Bot
Kalshi is a regulated prediction market: the edge is forecasting volatility, not price direction. This build note covers a LightGBM and PatchTST ensemble running on live Kraken WebSocket data and deployed with real capital.
WritingWritingTrading9 min read
13
O
Orchestrating Four AI Agents: Building orcha and council-cli
Every LLM fails differently. orcha explores what happens when Codex, Claude, Gemini, and Kimi work in parallel and are forced into an explicit synthesis loop.
WritingWritingAI Agents8 min read
14