kayaba-attribution Kayaba-Attribution

readme = """

Kayaba-Attribution

Hey! 👋 I'm Juan Gomez

23 y/o Senior Software Engineer @ Postilize — one of the first 8 engineers.
Architect of our Agentic AI systems, Signals V2 pipeline, and high-scale async infrastructure.

I build agentic AI systems, high-throughput pipelines, and early-stage architectures that move companies from prototype → production → PMF.

🚀 Professional Snapshot

Senior Software Engineer @ Postilize (Core Engineering, Early Team)

Mar 2025 – Present · Toronto / Remote

Architected Signals V2:
Cut OpenAI spend ~90% (~$100K/yr saved), scaled throughput 70K → 280K articles/day, expanded region coverage 1 → 4, and reduced per-company cost drastically.
Shipped leadership-level analytics:
Delivered time-series trends, AI vs non-AI segmentation, creator insights, & range presets turning raw news logs → actionable ROI dashboards.
Designed the new Engage modal:
Outlook-like flow with on-the-fly AI drafts + one-click send, making Signals a daily workflow for analysts, associates, and partners.
Launched Smart Outreach:
Auto-prioritized C-level/legal decision-makers (via RocketReach + internal graph) and generated personalized drafts directly from a signal.
Enabled delegated outreach:
Analysts queue messages for partners/execs with full auth + role-aware controls → unlocking scalable, hierarchy-aware communication.
Built job-change signal class:
Activated CEO, CFO, Corp Dev triggers as a new high-value category inside Signals.

Software Engineer @ Postilize (Agentic AI Platform)

Nov 2024 – Mar 2025

Built Postilize’s agentic outreach platform from prototype → core production system.
Implemented FastAPI + Celery + Redis async infra for high-volume email generation.
Created Deep Research, personalized benefits, and "Keep In Touch" AI agents.
Developed the Deep Research tab—a transparent reasoning system and demo highlight.
Cut LinkedIn automation times by 79–85%, boosting throughput massively.

Forta Foundation — Blockchain Security

Feb 2023 – Jun 2024

Designed high-performance data analysis pipelines for large-scale on-chain streams.
Built standalone fraud/exploit detectors parsing raw blockchain data in real time.
Balanced 800K–1.2M datapoints/day with adaptive algorithms ensuring zero loss.
Containerized 8+ ML-driven alerting models for low-latency distributed monitoring.

🧠 Core Expertise

Agentic & Generative AI Systems
Scalable Async Architecture (FastAPI, Celery, Redis, queues)
Data Pipelines & High-Volume Processing
Product-Market Fit Acceleration
Blockchain Security & On-chain Analytics
Full-stack Engineering across AI + Web

I help teams ship faster, scale earlier, and turn AI capability into real customer value.

📚 Education

BSc Computer Science — Goldsmiths, University of London
First Class Honours (2020–2024)

🪨 Interests

⚡ Hackathons & rapid prototyping
🔒 Blockchain security & DeFi
📝 Writer (AI + engineering topics)
🪨 Mineral & rock collector
💪 Gym, fitness, all things performance
🌐 Building at the intersection of AI × ML × Blockchain

🌙 Aesthetic Corner

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　／￣|　　 |　|　| ⠀⠀⠀⠀⠀⠀⠀    | |_________| |_______________________    
　| (￣ヽ＿_ヽ_)__)⠀⠀⠀⠀⠀⠀⠀   ⠀\=____________/   Kayaba-attribution   )     
　＼二つ ᛄᚢᚪᚾ ᚷᚩᛘᛖᛋ⠀⠀⠀⠀⠀⠀⠀   / """"""""""" \                        /  
⠀⠀   ⠀⠀⠀⠀⠀⠀⠀  ⠀⠀   ⠀⠀/ ::::::::::::: \               { EVM } =D-'  
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