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AI & Cloud Solutions Architect | 17+ Years | Former Microsoft MVP I design and build AI-powered products and cloud platforms that solve real business problems — from intelligent agents and chatbots to full-stack SaaS systems. ⚡ What I bring: - AI Agents & LLMs — LangChain, LangGraph, Microsoft Agent Framework, Semantic Kernel - Cloud & Backend — Azure, AWS, Runpod, ASP.NET, FastAPI - Microsoft Ecosystem — M365 services, Teams integrations, Bots - Generative AI — KlingAI, ElevenLabs, Stable Diffusion, Wan 2.1 Over 17 years I've delivered successful projects across AI, cloud infrastructure, mobile apps, and conversational AI — for both SMBs and enterprise clients. I'm a former Microsoft MVP for Windows and ASP.NET Development. 🌐 Based in Kyiv, Ukraine. Available for end-to-end development, architecture consulting, and PoC delivery. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: 🥇 Microsoft Certified: Azure AI Engineer Associate 🥇 Microsoft Certified: Azure Solutions Architect Expert 🥇 Microsoft Certified: Azure Developer Associate 🥇 Microsoft Certified: DevOps Engineer Expert 🥇 Microsoft Certified: Azure Administrator Associate 🥇 Microsoft Certified: Azure Cosmos DB Developer Specialty 🥇 Udemy: Hybrid Leadership: Essential skills to lead from anywhere 🥇 MCSD: App Builder 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐀𝐈-𝐛𝐚𝐬𝐞𝐝 𝐜𝐚𝐬𝐞𝐬: • Chat with company knowledge base using agents • AI-based eCommerce products recommendations and metadata enrichment • Emotional Support through AI-Driven Virtual Companions Platform • ​Intelligent Assistant for Revenue Management platform • Agentic ​Legal AI Assistant 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 .𝐍𝐄𝐓 𝐜𝐚𝐬𝐞𝐬: • Digital Workplace platform for enterprise • Intelligent Assistant for Revenue Management platform (SaaS) • Platform for competency management for enterprise

AI products fail when the Python backend cannot keep up with the AI layer. I own both. FastAPI, LangChain, RAG pipelines, 1.5 years building Healthcare AI and Digital Pathology systems on GCP, 100% JSS, Top Rated Plus. What I have built: AI-Powered Medical Applications Ecosystem (1.5 years): full-cycle development of a Healthcare AI platform. RAG pipelines for semantic search over vector databases, custom AI agent builder, SVS pathology file viewer with image fragment extraction, chatbot interface for real-time model communication. Solo technical implementation from architecture design to GCP deployment and production maintenance. Team of 5-10. Stack: FastAPI, React, TypeScript, Next.js, OpenAI, LangChain, PGvector, Redis, PostgreSQL, GCP, Docker. Blockchain Web Platform (150K+ concurrent users): crypto wallet integrations, real-time content delivery across 23,000+ crypto tokens, scalable architecture supporting 150K+ simultaneous users. 1 year, team of 5-8. Stack: React, Django, PostgreSQL, Docker. Real Estate AI Chatbot: natural language property search with map visualization, route planning, nearby points of interest, and public registry data enrichment. Stack: Python, FastAPI, React, LangChain, LangGraph, Google Maps API, PostgreSQL, Docker. On Upwork: Voice AI automation using Deepgram transcription, CRM integration, and AWS CloudFront setup (5 stars). Airtable and CRM automation with transaction sync and refund logic (5 stars). How I work: Architecture first, then code. I own the technical implementation end-to-end: architecture design, technology selection, infrastructure setup, and production maintenance. Every project has documented architectural decisions, Pytest coverage, and code reviews before shipping. I operate with the full backing of Meduzzen's senior engineering team. Every commit I ship is peer-reviewed by our internal technical leads before deployment. If I am unavailable, your sprints do not stop: a fully briefed Meduzzen engineer provides immediate coverage. One point of contact, zero single-point-of-failure risk. Core stack: Python, FastAPI, LangChain, LangGraph, OpenAI API, React, Next.js, TypeScript, PostgreSQL, Redis, Docker, GCP, GitHub Actions, Celery, WebSockets. If you are building an AI product that needs a Python backend and a solid AI integration layer, send me the architecture challenge. I will tell you how I would approach it.

AI Audio Engineer specializing in ASR, TTS, voice cloning, and generative music systems. I build and deploy production-ready audio AI pipelines — from speech recognition and synthesis to real-time music generation and audio intelligence. Every system is designed for low latency, edge deployment, and real-world scalability. I’m Ustym, an AI & Machine Learning expert and tech lead specializing in real-time speech, music, and audio processing. I help startups and R&D teams design, prototype, and launch AI-powered audio solutions that are robust, scalable, and ready for production. Whether you’re building a TTS voice assistant, enhancing voice quality, or generating music with style conditioning — I’ve got you covered. 🧰 WHAT I OFFER 🔹 Design and train ASR, TTS, voice cloning, and audio generation models 🔹 Build production-ready pipelines for speech, music, and sound AI 🔹 Optimize models for edge devices (ONNX, TensorRT, TFLite) 🔹 Deliver full-cycle ML development: from research to deployment 🔨 WHAT I BUILD I work across the full pipeline: research, data processing, model training, evaluation, and deployment. My solutions are designed for real-time performance, low latency, and production scalability. 🗣️ AI Speech Systems - ASR (speech-to-text), TTS (text-to-speech), voice cloning, speech enhancement - Speaker identification, phoneme recognition, prosody analysis - Robust to accents, emotions, background noise, and multilingual input 🎵 AI Music & Audio Generation - Generative music with mood/style/genre control, BPM/key detection - Instrument transcription, music captioning, stem separation, audio-to-MIDI - Trusted by music tech platforms and sound design teams 🔉 Audio Intelligence & Sound Analysis - Audio event detection, acoustic scene classification, similarity search - Text-to-audio generation, real-time audio understanding - Applied in smart environments, accessibility, health tech 🛠️ TECH STACK 🧠 AI Frameworks: PyTorch, TensorFlow, Keras, JAX, Hugging Face Transformers, Diffusers 🎙️ Speech & Audio Processing: Whisper, NVIDIA NeMo, SpeechBrain, Kaldi, ESPnet, Coqui TTS Librosa, Torchaudio, FFmpeg, SoX, PyDub, PyAudio, PortAudio 🎧 Generative Audio Models: StyleTTS, Bark, ElevenLabs, Descript Overdub, Magenta, MusicLM, AudioLM, Riffusion, DDSP ⚙️ Model Deployment: ONNX, TensorRT, TorchScript, TFLite, Docker, FastAPI ☁️ Cloud & MLOps: AWS (SageMaker, Lambda, EC2), GCP, Azure, MLflow, DVC, GitHub Actions 👨‍💻 Programming & Data Tools: Python, C++, JavaScript, NumPy, Pandas, SciPy, SQL, Git 🎯 INDUSTRIES I SUPPORT ✔️ Media & Entertainment – multilingual dubbing, personalized streaming, voice synthesis ✔️ Music Tech – AI tools for composition, tagging, sound design ✔️ Gaming & XR – dynamic sound, NPC voices, real-time audio events ✔️ Healthcare – assistive tools, voice diagnostics, accessibility ✔️ EdTech – pronunciation feedback, speech tutoring, language training ✔️ Smart Devices & Security – voice authentication, sound-based alerts ✔️ Customer Experience – transcription, voice agents, sentiment detection ✔️ Video & Film – dubbing, adaptive soundtracks, intelligent editing 💡 WHY ME 🔹 Deep Audio AI Focus – I specialize 100% in speech, music, and sound AI 🔹 Research-Driven Development – I follow the latest ML innovations and apply them fast 🔹 Production-Oriented Mindset – Models are built for deployment, not just demos 🔹 Business Alignment – My work supports real product outcomes and ROI I lead a team of AI/ML audio engineers at It-Jim, where we’ve built systems for voice tech startups, creative tools, medtech products, and smart environments. We bring in strong expertise in ASR, TTS, audio DSP, and full-stack ML delivery. Let’s talk if you need a hands-on expert to build or improve your Audio AI system. Whether it’s voice, music, or sound recognition — I’ll help you go from idea to real-world solution. Let’s build something amazing with sound!

HI, I build AI systems with structured knowledge (graphs) for complex domains (OSInt, RealState, Legal, Finance) Experienced Data Scientist with a Master’s degree in Economic Cybernetics, specializing in cutting-edge machine learning, artificial intelligence, and graph-based technologies. My passion lies in creating innovative solutions that leverage data to drive actionable insights and improve business outcomes. What I Offer: Extracting and structuring values, insights from your data (documents, signals, networks). Advanced Algorithm Development: I feel strong in building algorithms that push the boundaries of traditional analytics. With a strong foundation in graph neural networks and machine learning, I can develop models that the world has never seen before. Data Structuring and Clarity: When you're ready to enhance the structure and clarity of your data, I can integrate GA4 and GTM to provide a comprehensive view of your client flow and improve data accuracy. Predictive Analytics and AI: My expertise in machine learning and AI enables me to provide forecasts and predictive models that can anticipate future trends and partner behaviors. I focus on understanding complex patterns and anomalies to offer valuable insights. Graph Database Solutions with Neo4j: As an active proponent of Neo4j, I can handle a wide range of tasks including: Installation and configuration on various platforms (Linux, Windows, Mac, AWS) Creating and managing knowledge graphs from diverse text documents Migrating data from CSV files using Cypher queries Performing complex queries and data analysis, including finding shortest and cheapest paths, and identifying popular nodes Developing applications such as social networks and fraud detection systems Statistical Analysis and Data Science Expertise: Proficient in multi-variable regression, Monte Carlo simulations, and statistical characterization of time series data. I can help you identify trends, predict future values, and prioritize work based on common property characteristics. Why Choose Me: Innovative Thinking: I am driven by the challenge of solving complex problems and providing innovative solutions that make a difference. Collaborative Approach: I love working with people and creating comfortable conditions that foster effective collaboration and communication. Proven Track Record: My background includes successful projects ranging from social networks for stock trading to cyber security fraud detection systems. If you are looking to bring more structure to your data, build advanced algorithms, or leverage Neo4j for your graph-based projects, I am here to help. Let’s discuss how my expertise can contribute to your project’s success! Looking forward to the opportunity to work with you. Best regards, Konstantin. Skills: Excel Graph Neural Networks Neo4j & APOC Functions Machine Learning (TensorFlow, PyTorch) Data Science Libraries (Pandas, NumPy, Scikit-learn) Creating Knowledge Graph (with RAG, GenAI) GA4 & GTM Integration Predictive Analytics Statistical Analysis Multi-variable Regression Monte Carlo Simulations Data Visualization (Matplotlib, Seaborn, Plotly)

I started my tech career as a web developer. Worked in small and mid-size teams and was always impressed by how every single person can influence the project's success. People are a Key These days my main mission is operating human resources in IT. Even though I am no longer a practical coder, I still have some technical background that helps identify the most suitable candidate for each specific project.

AI/ML Engineer | Offline LLM Applications, RAG, Knowledge Graphs & Privacy-First AI Systems AI/ML Engineer and Databricks Certified Generative AI Engineer specializing in secure, offline AI systems for sensitive data and domain-specific workflows.I am a Ukrainian freelancer working remotely from Europe. I combine AI/ML engineering expertise with 16 years of legal experience in intellectual property and business-related legal matters. This gives me a strong advantage when building AI systems for sensitive documents, legal workflows, compliance-heavy environments, and domain-specific decision support. My main focus is building local AI applications that run fully offline using open-source base LLMs, without relying on cloud APIs, external databases, or model fine-tuning. Instead, I design strong engineering pipelines around the model: document processing, domain logic, knowledge graph structures, prompt orchestration, validation steps, and structured report generation. This approach is especially valuable for legal, medical, finance, and enterprise environments where data privacy, cost control, and local execution are critical. My Core Expertise: Offline LLM Applications Building AI tools that run locally on macOS, Linux, or Windows using open-source models such as Llama, Mistral, Qwen, and other local LLMs. Knowledge Graph-Based AI Pipelines Designing structured AI workflows that use knowledge graphs, document metadata, domain rules, and multi-step reasoning pipelines to improve output quality without fine-tuning. Privacy-First AI for Sensitive Documents Creating systems where documents, prompts, summaries, and generated reports remain fully local, reducing data exposure and cloud dependency. Document Intelligence & Structured Reporting Processing complex, domain-specific documents and generating summaries, structured outputs, and final reports tailored to professional workflows. Full-Stack AI Engineering Building complete AI applications from backend pipeline design to desktop packaging, FastAPI services, local model integration, and deployment-ready solutions. Tech Stack: AI/ML: Python, PyTorch, Hug Face, LangChain, llama.cpp, Ollama Local LLMs: Llama, Mistral, Qwen, GGUF models, quantized models Data & Engineering: FastAPI, Docker, SQL, MLflow, Databricks Optimization: Model quantization, local inference optimization, Apple Silicon / Metal acceleration Applications: Offline AI tools, knowledge graph pipelines, document processing systems, desktop AI applications Education & Certifications: MSc in Computer Science, Data Science & Analytics – Woolf University Databricks Certified Generative AI Engineer Top Rated Plus Freelancer on Upwork One of my recent long-term projects started as a request to migrate an online AI prompt into a local offline application for forensic document assessment. The final solution evolved into a privacy-first desktop AI system for sensitive professional documents, using a local open-source base LLM, custom document processing, document classification, knowledge graph structures, prompt orchestration, validation logic, structured reporting, and secure local deployment - without cloud APIs , databases and model fine-tuning. If you need a secure, offline AI solution that works with sensitive documents and runs full locally on your own hardware, I can help design and build a practical system tailored to your workflow.