I build and ship AI products. End-to-end: from data pipelines and ML models to production infrastructure and the apps that use them.
10+ years in the game. 2x Head of ML. Currently CTO.
What I Build
AI Coding Agents — LLM workflows, multi-agent orchestration, RAG systems, MCP integrations. I’ve been trying to make computers write code since 2017. Now I build agentic platforms for enterprise clients.
Data & ML Infrastructure — ETL pipelines, Snowflake, Airflow, Neo4j, knowledge graphs. The hard part is never scale - it’s understanding what the data means before you touch it.
Full Stack AI Apps — FastAPI, React, TypeScript. From prototype to production. When needed, I build the whole thing - backend, frontend, infra, ML pipelines, deployments.
ML in Production — Training models is the easy part. Shipping them is the job. Reinforcement learning for physical systems, recommendation engines, graph neural networks.
Security — Pentesting, LLM red teaming, AppSec. Stanford Advanced Cybersecurity Program. CompTIA Security+ and Network+.
Experience
KayOS (2024-present) — CTO & Co-Founder. AI platforms for enterprise operations.
NEAR Atlas @ NEAR Foundation (2022-2024) — Head of ML & Data. Data infrastructure for blockchain analytics.
Be On Deck (2019, 2020-2022) — Senior ML/Data Engineer. ETL, data infrastructure, and matchmaking algorithms for founders.
Roby (2018-2019) — Head of ML. Reinforcement learning for HVAC optimization.
Congruent AI (2015-2023) — Independent Consultant. Freelance ML consulting, applied research, security work, open source.
South Park Commons (2019-2020) — Indie Researcher. Program synthesis, Mora Search Engine.
Draper TV (2013-2015) — Technical Lead. Video infrastructure for online education.
Research & Collaborations
- OpenAI — Contributed to Description-to-Code project (natural language to code generation)
- Georgia Tech OMSCS — Taught ML and linear algebra to master’s students via CodeMentor
- rLoop — Built simulation models for Reddit’s Hyperloop team (SpaceX competition finalist)
- Microsoft Imagine Cup — Finalist
Open Source
- One-Hundred-Layers-Tiramisu — Semantic segmentation in TensorFlow
- Study-Reinforcement-Learning — Curated 432 papers on RL, RLHF, LLM alignment
- Nvidia-Autopilot-Keras — End-to-end autonomous driving model
- Library of Comedy — The internet’s largest standup comedy database
- programsynthesis.pub — Research writing on automatic program generation
Get In Touch
GitHub: 0bserver07
Twitter: @YadKonrad
Technical writing: yad.codes