---
title: "Omar Solano"
category: "people"
role: "AI Engineer"
company: "Towards AI"
linkedin: "https://www.linkedin.com/in/omar-solano1"
twitter: "https://x.com/omar_solano1"
sourceLabels: ["Official speaker roster", "Official conference schedule"]
---
# Omar Solano

## Profile
AI Engineer at [[towards-ai|Towards AI]].

- [LinkedIn](https://www.linkedin.com/in/omar-solano1)
- [X / Twitter](https://x.com/omar_solano1)

## Biography
Omar Solano is an AI Engineer at [[towards-ai|Towards AI]], where he architects and builds production AI agents and applied LLM systems. His work spans RAG, fine-tuning, agentic workflows, and long-context and reasoning-model systems. He leads client-facing AI consulting projects and delivers hands-on AI engineering workshops for developers, engineering teams, and international conference audiences, including training for Europol and the New York Public Library. Omar has authored 50+ technical lessons and book chapters on RAG, AI agents, fine-tuning, and coding agents, reaching 90,000+ learners through [[towards-ai|Towards AI]]'s courses and publications.

## Conference Sessions
- [[2026-06-29-louis-fran-ois-bouchard-context-engineering-in-2026-compaction-memory-and-cost]] — Context Engineering in 2026: Compaction, Memory & Cost (2026-06-29, 2:20pm-4:20pm)

## Evidence Graph
This evidence graph summarizes how this person appears across the conference source graph: scheduled sessions, linked videos, transcripts, and slide-derived evidence.

### Linked Sessions
- [[2026-06-29-louis-fran-ois-bouchard-context-engineering-in-2026-compaction-memory-and-cost|Context Engineering in 2026: Compaction, Memory & Cost]]

### Media Signals
- `youtube-I2cbIws9j10` — 91,792 transcript words; 7 slide-derived text signals
- Transcript signals for `youtube-I2cbIws9j10`: code, model, back, system, well, first, today, even.
- Slide-derived themes for `youtube-I2cbIws9j10`: context, window, selects, response, facts, retry, coerce, rollback.
- Evidence links for `youtube-I2cbIws9j10`: [[youtube-I2cbIws9j10]], [[youtube-I2cbIws9j10-transcript]], [[youtube-I2cbIws9j10-slides]], [[youtube-I2cbIws9j10-dense-slides]]
- `youtube-ZRM_TfEZcIo` — 9 slide-derived text signals
- Slide-derived themes for `youtube-ZRM_TfEZcIo`: obsidian, google, plus, notion, drive, growing, files, month.
- Evidence links for `youtube-ZRM_TfEZcIo`: [[youtube-ZRM_TfEZcIo]], [[youtube-ZRM_TfEZcIo-slides]], [[youtube-ZRM_TfEZcIo-dense-slides]], [[youtube-ZRM_TfEZcIo-reconstructed-slides]]

## Livestream Appearances
- [[2026-06-29-louis-fran-ois-bouchard-context-engineering-in-2026-compaction-memory-and-cost|Context Engineering in 2026: Compaction, Memory & Cost]] — [watch at 02:11:16](https://www.youtube.com/watch?v=I2cbIws9j10&t=7876s) in WF26: Harness Engineering & Startup Battlefield (Day 3).