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Hello, I am a software developer, troubleshooter with a wide range of skills and experience. For the last 15 years, I take part in tens of projects where I used my knowledge of different software tools, libraries, and frameworks. My profile : My Overall technology stack: ✓ Primary: Rust, Java, Python, Perl ✓ Secondary: C++, JavaScript, PHP, Ruby ✓ MySQL, Postgresql, Oracle, Informix, MS SQL, SQLite, MongoDB, BerkeleyDB ✓ JQuery, YahooUI, Angular ✓ Git, Subversion, CVS, Mercurial ✓ Nginx, Apache, Lighttpd, and others. ✓ HHVM, FastCGI, Memcached, Varnish, Squid, HAProxy ✓ SSH, OpenSSL, PGP, Kerberos, Radius, ✓ WebRTC, P2P. ✓ Postfix, SPF, DKIM, DMARC. ✓ POSIX, Win32/Win64, Android, iOS, macOS ✓ Networking: TCP/IP, UDP, Firewalls, Routers, DNS (Bind9), DHCP ✓ Debian, Ubuntu, RedHat, SuSe, CentOS, ArchLinux, Vyatta, Gentoo, Knoppix, Damn Small Linux, FreeBSD, NetBSD,OpenBSD, Mac OS X; non- *nix: DOS (MS,IBM,DR,MSX), Windows from 3.0 to Windows NT(including XP-10), OS/2. ✓ XML, JSON and msgpack, TCP, UDP, HTTP, FTP, SMTP, libvlc, android, avconv (FFmpeg), FFmpeg, vlc, Wowza, evostream, ImageMagic, GD, ImgSeek, Gimp, RTMP, RTSP, HLS, DASH, MSS, HDS. ✓ My IT hobbies: 3D modeling and printing, FreeCad, CNC, Arduino, ESP32 Some of my previous projects are available on Upwork history and portfolio.

Hi, my name is Oleksandr. Happy to build your next gem. First author of dnaSORA (bioRxiv, 2025) — a unified diffusion transformer for genomic data, built with Ecotone AI. I've designed and shipped novel model architectures, not just wired up APIs. Experience: 15 yrs Areas: Agentic AI development — multi-agent orchestration on LangGraph, MCP tool integration, human-in-the-loop approval flows, agent reliability & evals Generative AI pipelines development/engineering DevOps/MLOps (cloud infrastructure provisioning/automation) CI/CD (build/deploy pipelines for classical web apps, servers, ML models) Technology stack: LangGraph (durable execution, checkpointing, interrupts), MCP, A2A, Pydantic AI LangSmith / Langfuse (tracing, evals) Stable Diffusion, SDXL, FLUX, ControlNet, LoRA (Kohya) diffusers, ComfyUI training/inference CUDA Docker images PyTorch/TensorFlow GCP/AWS Terraform Python/Node.js Author of an open-source multi-agent runtime : cross-host agent bridges, disk persistence, live telemetry. I'd be happy to help you

I help software teams turn AI ideas into reliable products - from early R&D and technical direction to production delivery. I work with companies introducing AI into an existing product, moving an LLM prototype into production, or changing engineering processes around AI-assisted development. My work starts before implementation: clarifying where AI creates real leverage, mapping workflows and constraints, prioritising use cases, and testing the technical direction before a team commits serious budget. I help with AI strategy, R&D, technical due diligence, architecture, build-vs-buy decisions, and AI-enabled SDLC. I build production AI systems, including LLM applications, RAG platforms, AI agents, self-hosted models, computer vision, and machine learning. The difficult work is rarely choosing a model. It is designing the system around it: company data, context engineering, integrations, evaluation, monitoring, latency, cost control, security, and predictable behaviour. Core areas: ✅ AI agents and workflows - tool use, MCP integrations, memory/context management, human approval gates ✅ Production engineering - Python, FastAPI, Docker, APIs, AWS/Azure, scalable data infrastructure ✅ RAG and internal knowledge systems - hybrid retrieval, pgvector/Qdrant, reranking, evaluation ✅ AI reliability - observability, evals, regression testing, audit trails, governance ✅ Text-to-Voice(ASR), Voice-to-Text(TTS) and real time voice agents Recent work includes a RAG troubleshooting system for a UK manufacturer funded by Innovate UK; an AI investment-research platform; LLM compliance automation for AdTech; and an AI-assisted music-therapy product used in dementia and autism care. I have 10+ years of software engineering experience and stay personally involved from discovery and R&D through architecture and delivery. If you are assessing an AI opportunity or need to make an AI system reliable in production, I can help define the right next step.