Max
Naidenov.
Hi, I’m Max. I study computer science at York University and I’m an ML / AI Engineering Intern at SCHWAI. This site has my projects, my work history and my writing.
GitHub activity
GitHub · naidx0
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· public calendar, no tokenlessmore
Work in private repositories is not in this chart.
Featured posts
Selected projects
selvage
liveTeam knowledge ends up scattered across Slack, wikis, code and databases, and I wanted one place to search all of it that did not ship my employer's data to anybody. So the embeddings run on your own CPU and the whole thing is MIT-licensed.
Selvage is a thin, hybrid-searchable layer over the places team knowledge actually lives, Slack, wikis, code, and databases. Connectors normalize every source into one Postgres + pgvector table, so the same query serves a person at a CLI, an agent over MCP, or the web UI. Local-first and MIT-licensed, with embeddings running on your own CPU.
sequence
liveI kept watching architecture diagrams drift away from the code they described. This one reads the code back and fails the build the moment they disagree, down to a wrong HTTP method.
Purpose. Coding agents describe a system confidently whether or not they know it. Sequence reads the code first, so every answer can point at the file and line behind it.
ml-harness
in progressTraining on one consumer GPU taught me the two questions nobody asks out loud: is this data worth the electricity, and is the number at the end real. This is my attempt to answer both before the run starts.
Most people who think they need to fine-tune a model don't. A clearer prompt, a few examples, or a way to look things up usually does the job, and training is the slow, expensive fix that fails quietly when it is the wrong one. The good training tools (Unsloth, Hugging Face's peft and trl) all start after you have decided to train. ML Harness is the step before that.
schwai
liveMy internship project at SCHWAI. A knowledge base that gets better the more the company uses it, with open-source models fine-tuned on the company's own writing rather than a generic one bolted on the side.
Project Brain is SCHWAI's internal enterprise knowledge base, built to improve itself through feedback loops from live usage, open-source models fine-tuned on the organization's own knowledge so the company operates at higher efficiency over time. It's one app in a larger multi-app platform I build across schwai.com on FastAPI, React, Supabase, Redis, and Cloudflare Stream.
More
- Everything I’ve built: the four above and 3 more.
- Where I’ve worked: 5 jobs since 2022. Right now an internal knowledge base at SCHWAI; before that, a bank with more than a million customers.
- Writing: 5 write-ups on my projects.
- About: my background and current work.