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I build Python web scrapers, Chrome extensions, and fast websites, either hand-coded or by speeding up an existing WordPress, that keep working after the contract ends. Recent paid client work: an interactive cloud-cost estimator built into a Kadence WordPress site, with lead capture wired to the client's inbox. A vacation-rentals WordPress site whose owner now updates it himself ("excellent work on my website... would definitely hire him again"). Custom navigation and template work across a network of GeneratePress sites. A LearnDash course build. A WooCommerce slow-checkout diagnosis measured on a clone of the shop. A Chrome extension that moves AI-generated content straight into Blogger posts, delivered and in use. Excel-driven scrapers where targets are read from a spreadsheet and results written back, across LinkedIn, USPTO, WIPO, and G2. On the demo side: three live business sites, hand-coded with no page builder, at 97 to 100 on mobile PageSpeed (a salon site, a landing page with a live price calculator, a SaaS landing). A node-based AI workflow builder (React Flow + Claude API) with a Fault switch that rate-limits the API on demand, so you can watch the retry and backoff handling work instead of taking my word for it. A public WordPress speed case study: the same page at 63 on a bloated Elementor build, 71 optimized in place, 99 rebuilt lean. For social platforms I use official APIs only (Telegram Bot API, Discord, WhatsApp via Twilio, Instagram and Facebook via Meta Graph API). If a job needs mass DMs or fake engagement, I pass. That gets accounts banned. What I take on: - Web scraping and price monitoring (httpx, Playwright, BeautifulSoup4) - Chrome extensions (Manifest V3, OAuth2) - Fast websites and landing pages (hand-coded HTML/CSS/JS, green on mobile PageSpeed, per-page technical SEO) - WordPress: speed optimization, GeneratePress/Kadence/Elementor work, LearnDash, WooCommerce fixes - PDF-to-Excel pipelines (pdfplumber, openpyxl) - Telegram and Discord bots: alerts, lead capture, group admin - n8n workflows with LLM steps (Claude, GPT) - API integrations: Gmail, Google Sheets, Google Vision, Stripe, Twilio, Anthropic Background: 10 years as an embedded C++ developer. Firmware work teaches you to plan for what breaks at 3am: timeouts, retries, malformed input, flaky networks. Scrapers, bots, and websites fail the same ways, so mine ship with those cases already handled. Everything ships with source code you own, a short setup doc, and tests. My code is public on GitHub (price-aggregator, keeptouch, sse-notifier-extension and more), and the demos are live: salon.helban.dev, kalkulator.helban.dev, dropwatch.helban.dev, orqa.helban.dev, aethos.helban.dev, wp-speed.helban.dev. The price monitor runs 24/7 in Docker on my own server. I work async: written updates and fast replies, no calls needed. On most jobs I run a smoke test on your actual data first, so you see real output before committing to full scope.

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases. I'm a Machine Learning Engineer & AI Python Developer with 10+ years of experience building Machine Learning systems, AI solutions, AI Agents, and production infrastructure for SaaS, fintech, manufacturing, healthcare, and enterprise companies across the US and Europe. ✅ I work with a team of 90+ engineers across Machine Learning, AI, DevOps, and Backend disciplines. Delivering end-to-end Machine Learning solutions from data pipelines and model development to deployment, monitoring, optimization, and scaling in production environments. 🎯 What I bring to your product as a Machine Learning Engineer and AI Agent Developer: ✔️ Over 10 years of commercial experience as a Machine Learning Engineer, AI Developer, Python Developer, and Data Scientist, building scalable products for startups and enterprise organizations. ✔️ As a Machine Learning Engineer, I design and build production-grade Machine Learning systems using Python, delivering measurable business outcomes. My solutions have improved operational efficiency by up to 200% and reduced infrastructure costs by as much as 55%. ✔️ As an AI Agent Developer, I build AI Agent systems using LangGraph, CrewAI, OpenAI, Claude, Gemini, Llama, and Mistral. I develop multi-agent architectures for customer support, internal automation, and enterprise workflows. ✔️ My AI Agent experience includes AI sales agent systems, AI business development automation, AI agents for Etsy marketing workflows, and AI agents supporting Pinterest marketing operations. ✔️ As an AI Developer, I deliver AI copilots, Generative AI applications, and LLM-powered platforms using GPT-4, GPT-5, Claude, and open-source models integrated directly into business processes. ✔️ As a Machine Learning Engineer and Data Scientist, I specialize in NLP, semantic search, recommendation systems, anomaly detection, Named Entity Recognition, sentiment analysis, and intelligent automation. ✔️ As a Python Developer, I build Retrieval-Augmented Generation (RAG) systems using Pinecone, Weaviate, Chroma, and enterprise knowledge bases connected to SQL, PostgreSQL, MongoDB, and CRM platforms. ✔️ As a Machine Learning Engineer specializing in Computer Vision, I develop object detection, segmentation, OCR, and Document AI systems using YOLOv8, Detectron2, OpenCV, Amazon Textract, and Google Document AI. ✔️ As an AWS DevOps Engineer and Cloud Engineer, I design highly available infrastructure using AWS, Kubernetes, Docker, Terraform, Jenkins, Kafka, Prometheus, Grafana, and NGINX. ✔️ As an Azure DevOps Engineer, I deploy Machine Learning workloads using Azure DevOps, Azure Data Factory, Terraform, and cloud-native deployment strategies for enterprise environments. ✔️ I regularly collaborate with Data Scientists, Data Analysts, Web Developers, Product Managers, and engineering teams to transform prototypes into scalable production systems used by thousands of end users. 📊 My Achievements in Numbers: 🔶 Machine Learning Engineer for Enterprise Support Platform ▪️ Reduced support workload equivalent to 3 full-time employees. ▪️ Decreased response times from hours to seconds. ▪️ Improved customer satisfaction metrics by more than 40%. ▪️ Processed millions of support interactions annually. 🔶 AI Agent Developer for Fintech Company ▪️ Built and deployed multiple AI Agent workflows in production. ▪️ Automated more than 80% of repetitive operational tasks. ▪️ Reduced manual processing time by 70%. ▪️ Increased team productivity across multiple departments. 🔶 Machine Learning Engineer for Manufacturing Company ▪️ Reduced defect escape rates to near zero using Computer Vision. ▪️ Eliminated thousands of hours of manual inspection work annually. ▪️ Improved quality control efficiency by more than 150%. 🔶 AWS DevOps Engineer for SaaS Platform ▪️ Increased deployment frequency from 1 deployment per month to 120. ▪️ Reduced deployment times by 85%. ▪️ Lowered infrastructure costs by 55%. ▪️ Improved platform reliability and scalability across cloud environments. Why should you hire me as your Machine Learning Engineer? ▪️ 10+ years of experience in Machine Learning, AI Development, Python, and Data Science. ▪️ 50+ Machine Learning and AI projects successfully delivered. ▪️ 90+ engineers available for large-scale engagements. ▪️ Experience across SaaS, fintech, healthcare, manufacturing, and enterprise industries. ▪️ Expertise in Machine Learning, AI Agents, Computer Vision, NLP, RAG, and Generative AI. ▪️ Strong background in AWS, Azure DevOps, Kubernetes, and Terraform. ▪️ Hands-on experience taking Machine Learning and AI products from concept to production. If you're looking for a Machine Learning Engineer, AI Agent Developer, AI Developer, Python Developer, or Data Scientist who can design, build, deploy, and scale production-ready AI systems.

Senior Full-Stack & Mobile Developer | React Native | Flutter | Next.js | Node.js | PostgreSQL Most founders waste 3-6 months on the wrong architecture. I help you skip that. ⚡ I build AI-powered MVPs (Web & Mobile) that launch in 6-10 weeks - with clean architecture that doesn't fall apart when users arrive. 📊 Proven Track Record 10+ years in production $100K+ earned on Upwork 100% Job Success I lead a team of senior engineers covering mobile (iOS/Android/Flutter/React Native), full-stack web, AI integrations, and UX/UI design. You work directly with me on architecture and key decisions. 🛠️ What I help with: 🚀 MVP Development: Turning ambiguous ideas into launch-ready products from scratch. Fast, clean, production-ready. 📱 Cross-Platform Mobile Apps: High-performance iOS and Android apps (React Native or Flutter) with smooth animations, background sync, and hardware/BLE integrations. ⚡ Full-Stack Web & AI Platforms: Modern frontends (React, Next.js) and secure backends (Node.js, Python/FastAPI, PostgreSQL) integrated with LLMs, RAG pipelines, and vector databases. ⚙️ Scalable Infrastructure: Early architectural decisions, database modeling, and stable cloud structures (AWS, GCP, Supabase, Firebase) that save time and budget later. 🏆 Selected results: FinTech: MVP delivered in 8 weeks - transaction and asset-management platform, live in production. HealthTech (USA): 36-month production platform connecting patients, doctors, and phlebotomists. +10% test requests per month, +12% returning patients. AI Platform (QLode): PoC + full MVP for AI stylist assistant with RAG, NLP, image search, and retailer integrations - concept validated, architecture production-ready at scale. Food Marketplace (Flashfood): 1,600 stores across US and Canada, $16.5M raised, 90M pounds of waste reduced. Compliance SaaS (Sanclist): Transaction waiting time reduced from 2 days to 3 hours. 6x fewer compliance errors. If you're building an MVP, a data-heavy SaaS, or a mobile app and want clarity before committing to development - reach out. A short tech sync is often enough to define the right next step.

I’m an AI/ML and Data Engineer focused on building reliable backend, data, and machine learning systems that run in production, not just in experiments. I usually get involved when data pipelines are fragile, ML/LLM prototypes need to become real products, or cloud deployments are hard to reproduce and operate. My role is to turn those setups into predictable, maintainable systems that engineering and product teams can rely on. I can help with • Data pipelines, ETL, transformation, and storage • ML model deployment, inference APIs, and monitoring • LLM applications, RAG pipelines, AI agents, and vector search • Backend API development with Python, FastAPI, and Flask • Cloud deployment across AWS, GCP, and Azure • Docker, CI/CD, PostgreSQL, logging, and production observability • Workflow automation with n8n and custom Python services I focus on practical architecture, reproducibility, and operational clarity. That means choosing the simplest reliable setup for the current stage of the product instead of adding unnecessary complexity too early. For AI and ML systems, I care about model versioning, controlled rollouts, observability, cost control, and maintainable deployment workflows. For data systems, I focus on clean ingestion, reliable transformations, clear storage design, and pipelines that other engineers can understand and extend. If you are building your first data, ML, or AI system, I can help you start with a clean foundation. If you already have something running, I can step in to stabilize it, reduce technical debt, and make it easier for your team to operate and scale. If you need help building, deploying, fixing, or operating data pipelines, ML systems, AI backends, LLM/RAG applications, or cloud infrastructure, I can move the work forward efficiently.

🚀 𝗩𝗶𝗱𝗲𝗼 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗪𝗲𝗯𝗥𝗧𝗖, 𝗟𝗶𝘃𝗲𝗞𝗶𝘁, 𝗙𝗙𝗺𝗽𝗲𝗴, 𝗛𝗟𝗦, 𝗥𝗧𝗦𝗣, 𝗔𝗜 𝗩𝗶𝗱𝗲𝗼 🚀 I am a Video Streaming Engineer with 7 years of experience, specializing in real-time video communication, live streaming, media processing, RTSP camera systems, AI video workflows, and scalable backend infrastructure. I help clients build production-ready video systems using WebRTC, LiveKit, FFmpeg, GStreamer, HLS, RTMP, RTSP, SRT, Node.js, NestJS, Go, Python, C++, Docker, and cloud infrastructure. 𝐌𝐲 𝐜𝐨𝐫𝐞 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧𝐜𝐥𝐮𝐝𝐞𝐬: ✓ 𝑾𝒆𝒃𝑹𝑻𝑪 & 𝑹𝒆𝒂𝒍-𝑻𝒊𝒎𝒆 𝑽𝒊𝒅𝒆𝒐 WebRTC video calls, LiveKit integration, group video calls, video conferencing, screen sharing, WebSocket signaling, real-time audio/video communication, low-latency streaming, and scalable video call backends. ✓ 𝑳𝒊𝒗𝒆 𝑺𝒕𝒓𝒆𝒂𝒎𝒊𝒏𝒈 & 𝑷𝒍𝒂𝒚𝒃𝒂𝒄𝒌 HLS playback, RTMP ingest, RTSP-to-web playback, SRT streaming, adaptive bitrate streaming, live event streaming, stream recording, video caching, offline playback, and playback optimization. ✓ 𝑭𝑭𝒎𝒑𝒆𝒈, 𝑮𝑺𝒕𝒓𝒆𝒂𝒎𝒆𝒓 & 𝑴𝒆𝒅𝒊𝒂 𝑷𝒓𝒐𝒄𝒆𝒔𝒔𝒊𝒏𝒈 Custom FFmpeg pipelines, GStreamer workflows, video encoding, transcoding, compression, HLS generation, stream conversion, audio/video processing, cloud video editing, and automated media workflows. ✓ 𝑹𝑻𝑺𝑷, 𝑪𝑪𝑻𝑽 & 𝑵𝑽𝑹 𝑺𝒚𝒔𝒕𝒆𝒎𝒔 RTSP camera streaming, CCTV/NVR platforms, IP camera integrations, browser-based camera playback, video recording systems, surveillance dashboards, real-time monitoring, and AI-powered video analysis. ✓ 𝑨𝑰 𝑽𝒊𝒅𝒆𝒐 & 𝑩𝒂𝒄𝒌𝒆𝒏𝒅 𝑬𝒏𝒈𝒊𝒏𝒆𝒆𝒓𝒊𝒏𝒈 AI video generation backends, AI video analysis, computer vision workflows, real-time video processing, cloud-based video generation, and backend systems for AI-powered media applications. ✓ 𝑩𝒂𝒄𝒌𝒆𝒏𝒅 & 𝑪𝒍𝒐𝒖𝒅 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 Node.js, NestJS, Go, Python, C++, REST APIs, WebSockets, Docker, cloud deployment, load balancing, scalable backend architecture, and performance optimization for high-volume video platforms. ❖ 𝑰 𝒄𝒂𝒏 𝒉𝒆𝒍𝒑 𝒚𝒐𝒖 𝒘𝒊𝒕𝒉: - Building WebRTC video call platforms - Integrating LiveKit for real-time audio/video apps - Creating live streaming and HLS playback systems - Developing RTSP-to-browser video solutions - Building CCTV/NVR and IP camera platforms - Implementing FFmpeg and GStreamer media pipelines - Creating scalable encoding and transcoding workflows - Building AI video generation or AI video analysis backends - Developing video cache players with offline playback - Optimizing latency, buffering, playback quality, and stream reliability - Designing backend APIs for video platforms - Fixing broken streaming, playback, recording, or camera pipeline issues My goal is simple: build video systems that work reliably in production, smooth playback, stable calls, clean media pipelines, scalable backend architecture, and a strong user experience. If you need a developer who understands video streaming engineering, WebRTC, LiveKit, FFmpeg, GStreamer, HLS, RTSP, CCTV/NVR, AI video workflows, and scalable backend systems, I can help you build, fix, optimize, or scale your platform. ❖ 𝑩𝒆𝒔𝒕 𝑺𝒌𝒊𝒍𝒍 𝑻𝒂𝒈𝒔 C++, C, Video Streaming, Live Streaming, WebRTC, HLS, MPEG-DASH, RTSP, RTMP, SRT, OTT, IPTV, VOD, SSAI, VoIP, SIP, FFmpeg, GStreamer, YOLO, Real-Time Stream Processing, Video Encoding, Video Transcoding, H.264, H.265, HEVC, VP9, AV1, x264, x265, CUDA, Intel QuickSync, SIMD, AVX, AWS Elemental, AWS MediaConvert, Amazon Kinesis Video Streams, AWS CloudFront, Akamai, AWS, GCP, Azure, Wowza, Nginx RTMP, Janus, Red5, Asterisk, FreeSWITCH, Twilio, Jitsi, CCTV, MQTT, Socket Programming, Linux, Windows, Performance Optimization

I have Expert-Vetted Talent (EVT) badge - it's Upwork's top 1% freelancers — pre-screened by Upwork Talent Managers and experts in their field. Out of ~30 million programmers worldwide, only a few thousand know Algorithms & Data Structures better than I do, which is proven by programming competitions. Please, contact me if you need that skill level (top 0.01%). I can do algorithmic/performance work in C/C++, Python, SQL, Java, MQL4, MQL5, C#, Assembly, JavaScript, Julia, Rust, and probably other languages - learning them rapidly. I also work with AI, mostly in NLP and NLU: large language models including OpenAI GPT-3, Bloom, BloomZ, GPT-J 6B, LLaMA, Alpaca, etc.; HuggingFace Transformers, Accelerate; Petals, Deepspeed, zfp/zfpy; CUDA, CPU, and MPS (AArch 64 M2 MacOS Metal GPU) backends. I have some work experience with Apple Neural Engine (ANE). In AI, I also worked with XGBoost for predictions (including trading), LibSVM, TensorFlow, PyTorch, Scikit-learn, etc. I have the hardware in my home office for training and inference with large language models and other AI. English: C1 (Grammarly plugin says I use more unique words than 95% of other users, native speakers included). Polish: B1 (86%). Russian, Belarusian: Native. - With unique skills in Algorithms & Data Structures, I improve programs asymptotically (often 100 or more times on large input data). - 29 years of programming (started Basic and assembler on ZX Spectrum), 24 years of C/C++, 16 years of commercial work experience + 3 years of research projects. - Contributed to widely used Open Source projects: LLVM/Clang (my contribution is XRay profiler on ARM32 and AArch64 systems), Katana Graph (multiple small contributions mostly driven by the proprietary part where I do GPU/CUDA), CBMC "C Bounds Model Checking" (I contributed parallelized output of DIMACS formatted Boolean Satisfiability formula), oatpp (C++ web framework, I contributed bug-fixes), OWL (OptiX Wrapper Library, I contributed build fixes for Ubuntu), Galois (research project for distributed computations on graphs, I contributed GPU improvements) - Actively participated in bug reporting and reproduction (for NVIDIA CUDA, Cadical&kissat boolean satisfiability solver, JBOSS, MariaDB, Tensorflow, Linux, etc) - Led several open-source projects of my own: ProbQA (a video game recommendation system based on a high-performance Bayesian inference engine with CUDA, SIMD, and multi-threading); InSoAr (automatic reconstruction of software architecture from source code ), a multi-threaded Boolean Satisfiability solver, etc. Working for hire, implemented: - efficient multi-threading, scaling real-world workloads almost linearly with the number of CPU cores (128x for AMD Ryzen Threadripper 3990X) - SIMD vectorization (SSE/AVX), up to 8x improvement in computing thread or even copying (see my "Faster alternatives to memcpy" answer on Stackoverflow, URL upon request). - cache-aware algorithms: up to 50x improvement on some workloads - up to 20 trillion operations/second in CUDA (thousands of times faster than CPU) - up to the theoretical limit (6.8 Gigarays/second on RTX 2080 laptop GPU) in ray-tracing with OWL and OptiX - AVX512 and RTM (Restricted Transactional Memory) based acceleration, 16x improvement for float numbers -up to 20x improvements to cryptocurrency miners on CPU using AVX512 and cache-friendly algorithms - crypto-miners for Ethereum, Bittensor, Qubic 15K reputation on Stackoverflow: (1915854/serge-rogatch) Topcoder SRM score: 1480 - among top 5K programmers in the world - top 0.02% (rSerge) I developed all kinds of networking applications, from Linux Kernel modules up to Web applications. The majority of work was, of course, done at TCP/IP level with socket calls like send/recv/select. Programming languages: C++, C++11/14/17/20, C, Python, x86/x64/ARM/AArch64 assembly, SQL, C# .NET, JavaScript, HTML, CSS, Java, MQL4, MQL5, XML, Cypher, Rust. Libraries/Frameworks: PyTorch, Tensorflow, HuggingFace Transformers/Accelerate/Safetensors, Hivemind/Petals, OpenAI, tiktoken, Django, Flask, STL, LibSVM, XGBoost, libcurl, Selenium, PyTorch, Transformers. Technologies: OpenMP, CUDA, SIMD (AVX&SSE, RTM), Linux Kernel Modules, OptiX/OWL, RTX, raytracing. Theory/Principles/Know-how/Methodologies: Algorithms & Data Structures, Performance Optimization, Artificial Intelligence, Multithreading, Vectorization, OOP, Low-latency, High-frequency, Blockchain. Open source code: Clang, LLVM, LLVM's compiler-rt library, Linux Kernel, a few of my own repositories, contributions to AI and Algorithm open-source projects such as Petals and CBMC. Tools/APIs/Architectures/Platforms: PostgreSQL, MSSQL, MySQL, Neo4j, MATLAB, CMake, GIT, MT4, MetaTrader 5, Conda, PyCharm. Virtual Machines / Containers: Docker, VMWare, VirtualBox, QEmu, Hyper-V. OSes: Windows, Linux, Android, macOS