Hi! I’m a high school student from Almaty, Kazakhstan. I’m really into Data Science and “AI for Good”, especially projects connected to public health.
Outside of school, I listen to an unhealthy amount of music (135K minutes on my last Spotify Wrapped), learn drums, ski, and go hiking with my friends. Every now and then, I also go diving when I get the chance.
Here are a few projects that I’m proud of:
This is my AI-powered diagnostic tool for skin diseases (monkeypox, measles, chickenpox, HFMD). I trained and fine-tuned a VGG16-based model in Python/TensorFlow, and I’ve been focused on making it work in messy, real-life conditions. Currently more than 5 clinics use my model across Kazakhstan, and it help more than 16.000 people
Tech: Python • TensorFlow • Computer vision • Dataset curation
I’ve taught and mentored 500+ students who wanted to go deeper in math, and I helped organize and judge 15+ events where people can actually enjoy competing and learning together.
If you’re looking for research-y work, open RESEARCH/.
Here are a few dirrections I’ve been exploring:
I worked on turning emoji-based obfuscation into something we can actually evaluate and break down: building datasets, training sequence-to-sequence models, and stress-testing where the method fails in high-stakes settings.
Focus: privacy • LLM safety • evaluation • seq2seq modeling
I’m building a pipeline that extracts and standardizes “Table 1” demographics from medical papers so we can audit who gets represented in research (and where the blind spots are).
Focus: data extraction • standardization • scientific auditing
I helped consolidate and clean 17,000 deportee archival records into a searchable dataset for families and researchers. It’s the kind of work that feels quiet, but really matters.
I’ve mostly learned by doing: shipping small things, breaking them, fixing them, and repeating.
Amurex.ai • Cyrion Labs
I worked on backend + data pipelines for an AI notetaker and also built parts of a voice-first interface for blind users. Stack: async code, APIs, edge cases, and making things reliable.
Tools: Python • SQL • APIs • async workflows
Advised Party "Respublica" on AI. Drafted several passed bills, including "AI Development Bill", propoesed "Deputy AI" system for lawmakers. AI Development Bill results: a new public research AI cluster was planned for construction, national technopark architecture expanded, and AI promotion increased in schools and universities.
Focus: legal research • debate • scientific auditing
Here are a few highlights of my academic achievements:
• “Great Challenges” Sci Project — 1 of 6 winners (16.5K+ participants), ML model for monkeypox detection
• Northern Eurasian AI Olympiad — Gold Medal (89 finalists from 6,203)
• Avito Machine Learning Cup — Top 25 (≈2K), Unique Solution Award
• Kazakh National Olympiad in Mathematics — silver medal
• Interantional Mathematical Modeling Challenge — honorable mention
• Almaty Marathon — Top 50 (18-24 age cattegory)
• César Ritz Challenge — €16K scholarship (math-based sustainability hotel management model)
Right now I’m interning at hillclimb, a YC-backed team. My job is building clean, structured math datasets that are useful for training AI models.
Drums: I’m learning the drum part of Knee Socks by Arctic Monkeys.
Practice loop: groove → fills → consistency at tempo.
Skiing at Shymbulak Mountain Resort in Almaty.
If you want to reach out, email is the fastest. I’m always happy to talk about projects, research, or anything AI-for-good related.
Email: artem@stemolympiads.kz
GitHub: github.com/evilaechik
LinkedIn: /in/artem-lavrentyev-b93870282