{"locale":"en","meta":{"title":"Damir Krasilnikov | trendon.monster","description":"Python backend engineer and applied AI systems engineer open to freelance and contract work across stable products, ML/NLP-driven workflows, infrastructure, and integrations.","canonicalUrl":"https://trendon.monster"},"hero":{"wordmark":"trendon.monster","name":"Damir Krasilnikov","kicker":"Python Backend Engineer | Applied AI / LLM Systems Engineer | Product, Platform & Automation","summary":"I build backend platforms, AI-enabled products, and internal systems with practical foundations in mathematics, classical ML, NLP, and long-term maintainability, and I am open to freelance and contract delivery.","location":"Kazan, Russia","availability":"Remote / Async / Contract","roles":["Python engineer","Backend engineer","Applied AI engineer","AI / LLM engineer","Full-stack AI product engineer"],"metrics":[{"label":"Commercial delivery","value":"since 2024"},{"label":"Selected systems","value":"10+"},{"label":"Freelance status","value":"Open for freelance and contract work"},{"label":"Delivery modes","value":"turnkey -> rescue"}]},"taglineBullets":["Stable delivery over demo theatrics.","Clear contracts and maintainable systems.","Math, ML, and NLP applied to real workflows.","Open to freelance and contract delivery."],"socials":[{"label":"GitHub","href":"https://github.com/KD-TrendOn","value":"KD-TrendOn","note":"code, experiments, open work"},{"label":"Telegram","href":"https://t.me/scarymonster153","value":"@scarymonster153","note":"fastest contact channel"},{"label":"Email","href":"mailto:damirkrasilnicov2006@gmail.com","value":"damirkrasilnicov2006@gmail.com","note":"best for work and collaborations"}],"freelance":{"statusLabel":"Open for freelance and contract work","coverageLine":"Russia and international projects, remote delivery, scoped contracts, rescue work, and turnkey builds.","contractLine":"Websites, AI features, infrastructure, integrations, analytics, datasets, courses, and internal enablement can be delivered under contract with explicit scope and milestones.","summary":"Best fit for founders, teams, and operators who need a senior engineer to ship, stabilize, or extend a real system rather than stop at prototype-level output.","deliveryModes":["turnkey build","audit + rescue delivery","bug fixing and hardening","integration sprint","infrastructure setup","technical partner mode"],"serviceLanes":[{"title":"Websites, services, and delivery","summary":"From marketing sites to internal services and production-facing digital surfaces for Russian and international markets.","items":["websites and web applications","Russian and international digital services","turnkey MVPs, internal tools, and delivery ownership","bug fixing, refactors, and rescue delivery","feature extensions and production hardening"],"accent":"amber"},{"title":"AI, agents, and data systems","summary":"Applied AI with concrete workflow value: assistants, agents, datasets, and business-hypothesis validation tied to actual operations.","items":["AI features, copilots, and working assistants","chatbots, agents, and RAG workflows","dataset creation after parsing and normalization","mini business-hypothesis checks and AI-first MVPs","automation without locking the business into no-code platforms"],"accent":"cyan"},{"title":"Infrastructure, analytics, and integrations","summary":"For teams that need the runtime, metrics, and enterprise wiring to work, not just the application code.","items":["company server and cloud infrastructure setup","deployment, Dockerization, and runtime stabilization","business metrics, dashboards, and analytics wiring","CRM, tracker, and corporate system integrations","API and event-flow integration across teams"],"accent":"lime"},{"title":"Courses, enablement, and adjacent production support","summary":"Education products, public-facing packaging, and adjacent production services around technical delivery.","items":["course creation and technical education products","employee AI-coding workshops and enablement","resume packaging and polished public profiles","automated profile visuals and supporting assets","video editing and 3D design via partner platforms"],"accent":"rose"}],"platformClusters":[{"title":"Cloud and deployment","summary":"Common surfaces for hosting, containers, and managed delivery.","items":["Yandex Cloud","Google Cloud","AWS","Docker"]},{"title":"Business systems and trackers","summary":"CRM, work management, and team knowledge systems.","items":["Bitrix24","HubSpot","Jira","Notion"]},{"title":"Automation and AI stack","summary":"LLM and workflow platforms for applied AI and business automation.","items":["OpenAI API","Anthropic API","n8n","Zapier","Telegram"]},{"title":"Product and developer tooling","summary":"Design, API, and product collaboration tools frequently used in delivery work.","items":["Figma","Postman"]}]},"skillClusters":[{"title":"Backend and platform","summary":"Python-first delivery for systems that need contracts, storage, queues, and operational sanity.","skills":["Python 3.11+","FastAPI","SQLAlchemy","PostgreSQL","asyncio","REST APIs","workers","Docker"],"accent":"cyan"},{"title":"Applied AI, ML, and NLP","summary":"Combining LLM practice, classical machine learning, and NLP foundations into systems that work beyond demo conditions.","skills":["RAG","NLP pipelines","embeddings","gradient boosting","structured output","evaluation loops","multimodal parsing","agent workflows","LangGraph"],"accent":"lime"},{"title":"Product and operations","summary":"Clear boundaries between shipping velocity, product sense, and long-term maintainability.","skills":["requirements decomposition","billing logic","admin tooling","observability","CI/CD","deployment packaging","reverse proxies","S3-compatible storage"],"accent":"amber"},{"title":"Full-stack support when needed","summary":"Comfortable carrying the product across UI, APIs, background work, and release loops.","skills":["React","TypeScript","Vite","TailwindCSS","dashboards","editor-like UX","Telegram UX","QA loops"],"accent":"sky"}],"projectHighlights":[{"id":"conversion-platform","badge":"platform","title":"Universal conversion and content processing platform","summary":"Unified files, documents, URLs, audio, video, and web sources behind one API with routing, OCR, transcription, rendering, storage, and structured outputs.","impact":"Handled roughly 20-25 source types, 10+ output formats, and 100+ conversion edges in one delivery surface.","stack":["FastAPI","PostgreSQL","S3","OCR","vector retrieval","Docker"],"note":"Public summary only. Internal customer and NDA details are intentionally omitted."},{"id":"tuxedo-suite","badge":"product","title":"Tuxedo Suite","summary":"Production-facing AI content workspace with structured LLM modes, background tasks, object storage, editor flows, and credit-aware usage logic.","impact":"Covered 5+ runtime services, 8+ core data models, and 9 workflow modes across writing, editing, and analysis.","stack":["React","TypeScript","FastAPI","PostgreSQL","Redis","Celery"],"note":"Focused on usable workflows, async media handling, and operational cost awareness."},{"id":"telegram-ai-saas","badge":"saas","title":"Multi-tenant Telegram AI platform","summary":"Built a role-aware AI SaaS for Telegram with billing tiers, webhooks, analytics, notifications, and separate bot runtimes per deployment context.","impact":"Included 20+ backend modules, 30+ frontend/admin pages, 12+ migrations, and configurable AI pipelines.","stack":["FastAPI","React","aiogram","PostgreSQL","billing","containers"],"note":"Strong example of product, backend, and operations ownership in one system."},{"id":"corporate-rag","badge":"ai","title":"Corporate RAG and knowledge platform","summary":"Internal knowledge assistant with document ingestion, normalization, hybrid retrieval, reranking, answer assembly, and admin quality loops.","impact":"Supported 7+ document formats, multiple knowledge sources, provider fallback, and feedback-driven retrieval improvement.","stack":["Telegram","PGVector","retrieval","evaluation","admin tooling","Docker"],"note":"Designed for reliability and iterative answer quality, not just a demo chatbot."},{"id":"agent-first-factory","badge":"systems","title":"trendon: public agent-first engineering template","summary":"Open-source repository template with AGENTS routing, repo-local docs, validators, observability, browser proof loops, and machine-checkable release discipline.","impact":"Turns the OpenAI harness ideas into a public, reusable implementation that other engineers can inspect, fork, and adapt.","stack":["Codex workflows","RFCs","validators","observability","browser proof","quality gates"],"note":"Published openly so the operating model is visible in code, docs, and verification artifacts rather than only described in prose."}],"achievements":[{"title":"BitGN: Agent Benchmarks and Challenges","when":"Apr 2026","result":"Participant, Personal and Trustworthy track","summary":"Worked directly in a benchmark-driven challenge environment focused on reliable and trustworthy autonomous agents."},{"title":"Psychographic profiling and recommendation challenge","when":"2025-2026","result":"Top-1 solution","summary":"Built a first-place pipeline by synthesizing training data with LLMs, training embeddings, and combining them with gradient boosting for psychotype detection and recommendation."},{"title":"Kazan Digital Transformation Hackathon","when":"Aug 2024","result":"Finalist","summary":"Delivered an LLM-enabled resident-card and dynamic documentation workflow concept under hackathon pressure."},{"title":"ArtScience Hackathon","when":"Jun 2024","result":"Winner","summary":"Built an interactive game platform using LLMs and image generation with a real backend pipeline."},{"title":"Tatar.BY Hackathon","when":"May 2024","result":"Winner","summary":"Created an LLM-based story and test generation system that also received public coverage."}],"timeline":[{"period":"Sep 2024 - Mar 2026","title":"Python Engineer / Applied AI Systems Engineer","organization":"Multiways LLC","summary":"Commercial work across backend platforms, applied AI systems, automation, SaaS products, analytics, Telegram applications, and maintainable delivery workflows."},{"period":"Jan 2024 - Aug 2024","title":"NLP Developer / MLOps Engineer","organization":"Tut Edu","summary":"Built an AI mentor for education on top of LLM and retrieval workflows, while also helping connect technical implementation to customer value."},{"period":"2022 - 2026","title":"Computer Science and Programming","organization":"KNRTU-KAI College","summary":"Formal study plus deep self-driven training in mathematics, software engineering, backend systems, classical machine learning, NLP, and model-focused engineering."},{"period":"Parallel coursework track","title":"ML, NLP, and MLOps coursework","organization":"MIPT Stepik + Open Data Science","summary":"Studied programming, machine learning, NLP, and MLOps through MIPT Stepik tracks and multiple Open Data Science courses, then applied that material in real NLP and AI product work."}],"resources":[{"kind":"article","kindLabel":"article","title":"Harness engineering: leveraging Codex in an agent-first world","description":"The OpenAI engineering post that framed the agent-first harness ideas later adapted into the public `trendon` template.","href":"https://openai.com/index/harness-engineering/","ctaLabel":"Read article","availabilityLabel":"reference available"},{"kind":"open_source","kindLabel":"open source","title":"trendon: public agent-first engineering template","description":"Open-source repository with AGENTS routing, repo-local docs, validators, observability, browser proof, and current-worktree publication.","href":"https://github.com/trendon-monster/trendon","ctaLabel":"Open repository","availabilityLabel":"public release available"}],"labs":[{"id":"trendon-template","title":"trendon agent-first template","status":"live","statusLabel":"live","type":"open_source","typeLabel":"open source","summary":"Public release of the agent-first engineering template with request/RFC/plan flow, worktree-local proof loops, observability, and deterministic publication.","tags":["agent-first","open source","observability","template","codex"],"href":"https://github.com/trendon-monster/trendon"},{"id":"telegram-llm-course","title":"Full-cycle Telegram bot development: LangChain, Aiogram, SQL","status":"live","statusLabel":"live","type":"course","typeLabel":"course","summary":"Stepik course on building AI assistants and Telegram bots with LangChain, Aiogram, SQL, deployment basics, and long-context application patterns.","tags":["course","LangChain","Aiogram","Telegram","LLM"],"href":"https://stepik.org/course/226949"}],"sectionIntro":{"about":"Commercial and project work covers backend platforms, AI assistants, knowledge systems, automation, bot products, parser and converter infrastructure, education workflows, and ML/NLP-heavy engineering tooling.","workStyle":"The through-line is pragmatic delivery: clarify scope, shape the system, implement it, validate it, document it, and leave the repository in a state that others can extend with confidence."},"paths":{"home":"/","labs":"/labs","profileApi":"/api/profile","observability":"/observability"}}