GLEB ROSEV
I build AI agent teams at YAGNI. At Sully.ai, I fixed a bug in clinic calls: the voice agent greeted people while the phone was still ringing, so they heard 15 seconds of silence when they picked up. How we eliminated 15 seconds of silence →
Hiring for AI agents or platform? Tell me the problem — I reply within 24h.
Now: Founding Engineer at YAGNI, building AI agent teams (PM, Builder, Reviewer) that take work from proposal to merged PR under human-approved plans. Before: healthcare voice AI at Sully.ai. 8+ years in engineering.
Gleb Rosev (also spelled Rossev) is a Founding Engineer at YAGNI (yagni.app) in Tbilisi, building production AI agent teams; previously Staff Harness Engineer at Sully.ai; 8+ years in engineering.
- rossevgleb@gmail.com
- in/rossev ↗
- GitHub
- Grumbash ↗
8+ years in production
Find experience by technology
Every keyword in one place, for recruiters who skim and the ATS and LLMs that parse. Click a skill to see where I used it. The same list lives in /llms.txt.
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Founding Engineer, AI Agents
Early-stage US startup building named AI agent teams that take engineering work from proposal to merged GitHub pull request under human-approved plans.
28 PRs Merged in the first week: 98% of the code by agents, 97% of the planning by me- Tenant isolation: tenant-scoped query guards and sandboxed code execution.
- Connector backfills made self-healing: stuck-cursor recovery, progress tracking and hard caps for long syncs of large workspaces.
- Code-review agent reliability: fixed ticket-key collisions between YAGNI and external trackers that sent the reviewer to the wrong issue.
- Agent benchmarks: realistic engineering task suites that show whether a prompt, model or harness change makes agents better or worse.
- Risk radar: flags stalled customer runs before the customer reports them.
- Self-improving loop (experimental): a meta-agent reads failed runs, isolates the cause and drafts a fix for the team to review.
- Monorepo build chain reduced to one command for fresh checkouts, worktrees and CI.
- Technical point of contact for pilot customers: demos, debugging live runs, turning feedback into engineering work.
Stack TypeScriptNode.jsPostgreSQLClaude / OpenAIGitHubAgent EvalsSandboxed RunnersARCHITECTURE BREAKDOWN
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Staff Harness Engineer, AI Voice Systems
AI receptionist platform for healthcare: voice and text agents for scheduling, care coordination and clinic operations. Sully.ai serves 400+ healthcare organizations.
15s → 0s Dead Air at Pickup400+ Healthcare Orgs (Sully)- Led core engineering for the MENA launch: UAE infrastructure, Azure Blob Storage support, regional configuration and production readiness.
- Removed ~15 s of dead air at pickup on outbound calls: the agent was greeting the caller while the line was still ringing.
- Made agent dispatch reliable on LiveKit: retry-and-verify, no more duplicate agents in one call, no more silent calls.
- Designed UAE audio-residency guardrails so TTS and STT fallbacks stay within approved regional providers instead of silently routing elsewhere.
- Built patient-data validation for outbound campaigns: local phone formats, customer-specific schemas, clinic rules.
- Built high-volume stress testing with headless LiveKit participants, Loki and Mimir validation, and runtime health checks; found and fixed the memory cascade behind burst failures.
Stack LiveKitTwilioSpeechmaticsOpenAI / Claude / GeminiTypeScriptNode.jsGrafana / Loki / MimirARCHITECTURE BREAKDOWN
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Engineering Manager / Senior Full-Stack
AI-powered multi-tenant B2B SaaS platform for wholesale.
-80% Feedback analysis time12 ENG Team Led- Led a cross-functional team of up to 12 people while staying active in architecture and code.
- Delivered multi-tenant catalog/order workflows with ERP/CRM syncs and feature-flagged trunk-based releases.
- Built an LLM feedback pipeline converting Sales/CS input into product insights (-80% analysis time).
Stack TypeScriptNestJSReact / Next.jsPostgreSQLRedisOpenAI / RAGGrafana / LokiARCHITECTURE BREAKDOWN
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Lead React Native Developer
Product engineering across fintech, crypto, AI & healthcare.
- Led a 5-person team across web and mobile product delivery in a shared monorepo.
- Integrated native cryptographic modules into a flagship application with 100,000+ downloads.
- Hardened CI/CD build pipelines and production runtime stability.
Stack React NativeTypeScriptNative Crypto ModulesMonorepoCI/CD -
Frontend Team Lead · RN Manager · Full-Stack
Sports tournament platform, full-stack cloud architectures & technical mentorship.
100K+ Crypto App Users220ms TTFB (1.7s TTI)$10M+ Funding Raised- Owned frontend architecture and hiring for a 5-engineer team at BattlePro; doubled velocity (25 → 55 SP) and hit 220ms TTFB / 1.7s TTI.
- Architected a full-stack virtual networking platform at ITechArt that subsequently attracted $10M+ in investment.
- Delivered 150+ advanced React/JS lectures at TeachMeSkills; curriculum adopted by 1,500+ students/year.
Stack ReactNext.jsNode.jsTypeScriptAWSARCHITECTURE BREAKDOWN
Self-healing GR monogram
An 8,320-parameter neural cellular automaton, trained from scratch, running in your browser. Every pixel runs the same tiny network and only sees its neighbours. Damage it: drag across the letters (or Tab + Enter).Paused to save your data: on a faster connection this monogram grows and heals itself.
Same idea I apply to production: systems that notice damage and repair themselves →
How it works: each cell holds 16 numbers, reads its 3×3 neighbourhood through Sobel filters and updates through one 128-unit hidden layer. Trained to grow from a single cell and to heal after cuts and bites, after Mordvintsev et al., Distill 2020 ↗