cemaltan.com.tr· open to new roles
Istanbul

Software engineer · AI & agentic systems · Istanbul

Cemal Altan

I build agentic AI systems, and I design the tasks frontier coding agents are tested on.

Founder of Ascendia AI, an agentic AI coach I built and run on my own. AI engineer at Vetto AI, where I design and audit evaluation tasks for frontier AI coding agents. Open to remote roles, contract work and collaborations.

Signals

Three things worth knowing. The full history is on LinkedIn.

01 · BuildingAscendia AIFounder & lead AI engineer
2026 – now

Ascendia, an agentic AI coach I built solo, from idea to production.

One AI agent plans and repairs your day, remembers context, coaches workouts, logs meals from a photo and talks by voice. Instead of replying with text, it takes confirmed, reversible actions shown as live cards. I own all of it: product, architecture, engineering and operations.

  • 11-agent orchestration (a router plus specialists) over 78 typed tools, with an idempotency ledger, an autonomy dial and one-tap undo.
  • Live voice: full-duplex spoken conversation with natural barge-in and streaming speech.
  • A multi-provider model platform with failover and prompt caching, long-term memory on pgvector, and safety and evaluation gates on every path.
  • 14 services on Google Cloud with health-gated releases, automatic rollback and tested backups.
11agents: a router plus specialists
78typed tools
123 msp50 to first audio in voice
40,000+automated tests
Visit ascendia.day

02 · NowVetto AIAI engineer · contract, remote
Apr 2026 – now

Testing frontier AI coding agents on real engineering work.

  • I design terminal-based benchmark tasks (Linux, debugging, concurrency, multi-bug fixes), each with a reproducible Docker environment, a reference solution and tests.
  • I run agent evaluations with Harbor and calibrate difficulty against frontier models, separating genuine agent failures from ambiguous specs, environment faults and flawed tests.
  • I audit long-horizon optimization tasks end to end, from prompts and specs to public tests and hidden judges, for test leakage, unenforced constraints and exploitable scoring, and reproduce the judge offline to prove each finding.
  • The findings decide whether a task goes into model training and benchmark releases.
  • Harbor
  • Docker
  • Linux
  • Python
  • Go
  • Rust
  • Bash
  • C
  • TypeScript

03 · RangeExperience2022 – now

From systems-level C and SIP routing to multi-agent LLM systems and live voice.

  1. 2022C++ for autonomous vehiclesTransolt · intern
  2. 2023C on Linux, SIP routingVOIPZeker
  3. 2024Full-stack, payments, CRMInvest Barter
  4. 2026Multi-agent LLMs, live voice, agent evaluationAscendia AI · Vetto AI

B.Eng. in Computer Engineering, Erciyes University.

Get in touch

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Prefer email? Write to i@cemaltan.com.tr.