My name is Nikita Zholnerovskiy, I'm an AI developer and vibe coder — I build digital products in tandem with AI agents as my primary tool of work, not an auxiliary function. Who I am: since February 2026 I've been working as an AI Developer at Mobecan — independently, from idea to production, building websites, internal services, integrations, and AI-first solutions, using Claude Code, Cursor, OpenAI Codex, and Gemini not occasionally, but as my primary way of developing. Vibe coding as a separate discipline has existed for less than two years — I've been in it since the very start of the practice, constantly expanding my toolkit and approaches. What I've actually built: — the "Vibe Coding" division site at Mobecan (ai.mobecan.com) — from scratch, from concept to publication; — a commercial landing page (mosty-hvosty.ru) — completely from scratch, without a designer or a brief: I worked out the structure, visuals, responsive layout, and map integration myself; — an internal BI system: syncing data from the YouTrack and GitLab APIs into PostgreSQL, visualization in Metabase — leadership sees team workload and task status without manual collection; — autoposting from Telegram to Threads via API — including nontrivial infrastructure tasks like finding a video hosting provider that Meta trusts, and removing the download limit on large videos via a self-hosted Telegram Bot API; — at my previous job (EDUTECH GROUP) — document workflow automation for the sales department that replaced a paid third-party service: saving 30,000 RUB per year per employee. I back up my qualifications with more than just practice: certificates from Anthropic and OpenAI on working with their tools, the Google AI Professional Certificate, Google AI Essentials, and the Elements of AI course from the University of Helsinki.

Frontend developer (Middle) specialized in TypeScript React/Next.js integrations with AI-backed services and real-time document processing. The strongest proven skill is building API client and realtime status flows as shown by src/lib/api/client.ts (ApiError and apiRequest) and src/lib/ws/document-status.ts (connectDocumentStatusSocket). There is little public evidence of custom component libraries, systematic a11y automation or measured performance work.

Fullstack Senior (≈5.0) focused on resilient data pipelines and internal analytics tooling with strong evidence of deliberate ETL architecture and operational safeguards.

Senior Rust systems engineer specializing in deterministic agent/process-engine backends and secure CLI tooling. The strongest proven skill is building robust, modular backend systems with clear security boundaries, evidenced by the process engine, capability gating and comprehensive tests in the executor/self-update/plugin-install code paths. There is little public evidence of large-scale distributed deployments, explicit migration histories across multiple schema versions, or cloud-native orchestration artifacts.

DevOps/Cloud engineer with experience delivering secure AWS and container-based infrastructure using infrastructure-as-code and automation. Has worked on CI/CD pipelines, Kubernetes deployments, and operational monitoring with Prometheus and Grafana across development, QA, and production environments.

A Middle-level backend-focused Node.js engineer who builds small end-to-end JavaScript services and integrations with pragmatic, working implementations. The strongest proven skill is delivering simple REST endpoints backed by PostgreSQL with conditional upsert logic, demonstrated in werwaldo/database/databasepg.js. There is limited evidence of production practices such as migrations, connection pooling, observability, automated tests, or robust security hygiene.

Fullstack web developer at Middle level specializing in building AI-enabled server-side pipelines and payment-integrated web applications. The strongest proven skill is integrating speech-to-text and LLM analysis into end-to-end pipelines, demonstrated by src/app/api/savecsvtodb/route.ts and src/app/api/aitsacapi/route.ts which wire Deepgram and GROQ into transcription, summarization, and DB ingestion flows. The public code shows limited evidence of front-end component design, accessibility engineering, systematic performance measurement, or comprehensive automated tests.

Backend engineer (senior-level) focused on asynchronous Python APIs and reliable inter-service messaging with a strength in practical API and transactional design. The strongest proven skill is building resilient payment workflow primitives - idempotent create, outbox pattern and a publisher/consumer setup as seen in src/payments/router.py and src/rabbit/*.py. The public code does not show advanced observability, formal load-testing artifacts or enterprise-grade secrets and token lifecycle management.

Backend API engineer (3 yrs exp) focused on Laravel controller abstractions and reusable CRUD traits that accelerate building REST endpoints. The strongest proven skill is designing reusable controller trait patterns with transactional safety and consistent response helpers demonstrated in laraquick/src/Controllers/Traits (Store.php, Destroy.php, Index.php). There is limited evidence of production-grade operational concerns such as distributed retries/backoff, structured metrics/alerting, or advanced schema-evolution tooling in public code.

A senior-level backend engineer focused on reliable, auditable transaction and connector systems with strong attention to durable execution and safety for agent-initiated actions. The strongest proven skill is resilient Postgres-backed execution and schema evolution demonstrated by persistence_postgres models, multiple alembic migrations and comprehensive reliability tests (tests/reliability/test_phase3_execution.py and packages/persistence_postgres/*). There is limited public evidence of large-scale operational load-testing, CDN or multi-region distributed systems responsibility and some UI/frontend work exists but not as a primary backend mastery signal.

Applied ML engineer at a middle level specializing in fraud and anomaly-detection pipelines with a strength in end-to-end model development for imbalanced datasets. The strongest proven skill is hands-on imbalance handling and model evaluation, demonstrated by multiple notebooks that implement oversampling/undersampling (SMOTE/ADASYN/RandomOverSampler/RandomUnderSampler), systematic GridSearchCV experiments and threshold/ROC analysis. What is not evidenced is production-grade engineering - there is little modular production code, no CI/experiment tracking, serving or monitoring infrastructure in the public artifacts.

Frontend UI engineer (Senior) specializing in streaming UIs and text virtualization for React applications. The strongest proven skill is async streaming state and performance engineering, evidenced by the useStreamingJSON/useStream hooks with rAF batching and AbortController plus the TextVirtualizer class (pretext-virtualize/src/core/TextVirtualizer.ts). There is limited explicit accessibility markup and limited evidence of large-scale backend or enterprise system architecture in the inspected code.

Senior Data Engineer focused on Snowflake-based data architectures and end-to-end ETL/ELT pipelines. Experienced with dbt modeling and transformations, cloud deployment across AWS/Azure/GCP, and SQL/Python for data processing, including SAP HANA to Snowflake migrations. Also supported engineering delivery through Git-based version control and production release management, plus internal mentoring for team members.

Software Engineer with 5+ years of experience building cross-platform applications using Flutter and Dart for Android, iOS, and Web. Experienced with Clean Architecture concepts, BLoC/MVVM patterns, repository-based data access, REST APIs, and offline-first workflows. Has delivered enterprise mobile products with analytics, crash monitoring, CI/CD, and third-party integrations.

Senior Software Engineer with 20+ years of IT experience, including 8+ years focused on React Native and mobile development. Experienced in mobile and full-stack systems, offline-first architectures, and end-to-end delivery with CI/CD and automated testing. In the past year, actively applied LLM-driven automation to assist engineering workflows and analytical system development.

Marketing, AI and operations leader with 11+ years of experience turning complex products into compelling propositions, scalable growth engines and measurable business outcomes. As Fractional CMO at Caller Monkey, I lead positioning, go-to-market strategy and enterprise growth for an AI voice automation business with $1.1M+ in revenue—helping organisations automate high-volume conversations and scale human capability. At EnableX, I drove enterprise product marketing, account-based marketing and demand generation across AI, CPaaS and conversational engagement solutions. My work spans ICP definition, product messaging, sales enablement, thought leadership and multi-channel campaigns designed to strengthen enterprise pipelines and accelerate adoption. I also bring strong 0→1 operating experience across technology, consulting and consumer businesses. I have built and led 12-member teams, created SOPs and performance systems, managed marketing portfolios exceeding $30K per month, and scaled a consumer venture to approximately $85K in monthly revenue within 90 days.

Enterprise solutions and customer engineering professional focused on AI-driven customer experience transformation. Leads technical discovery, builds business cases, and delivers consultative demos while partnering across sales, product, engineering, and customer success. Also has experience in enterprise pipeline generation and forecasting using Salesforce.

AI engineer with experience building conversational agents, RAG pipelines, and document ingestion workflows including OCR. Worked on fine-tuning and adapting foundation models for domain data, and also has prior full-stack engineering experience with PHP and MySQL.

Middle-level full-stack web developer specializing in React/Next.js frontends and small Node.js REST APIs with a practical focus on shipping features. Strongest proven skill is building front-end UI and simple API integrations, supported by a Next.js app with a remote Octokit API route at client/app/api/git/route.js and multiple React/Vite projects plus an Express/Mongoose API (node-rest-api/app.js and model/model.js). Public code does not show automated tests, CI integration, contract testing, or performance/load engineering artifacts.