.NET Developer with over 15 years of experience. I help companies build scalable .NET backend and frontend. Worked on projects for Microsoft and Shell. 97% of my clients are satisfied with my work.🧑‍💻Interested in building scalable enterprise and startup systems. Let's create powerful software together! Are you in search of a Senior .NET Developer who can build, scale, and maintain resilient software systems for web, desktop, and cloud-based applications? You’re in the right place. I’m Eugene - a seasoned .NET developer with deep expertise in full-stack architecture, Azure-based services, REST APIs, relational databases, and scalable backend platforms. Over the years, I’ve taken the lead on mission-critical software projects for top-tier clients, including Microsoft and Shell. I’ve delivered a wide array of business solutions using C#, ASP.NET Core, .NET Stack, Entity Framework, SQL Server, PostgreSQL, WPF, WinForms, and Azure App Services. My portfolio includes scalable web platforms, API-driven microservices, high-performance desktop tools, and cloud-native architectures powered by Docker and CI/CD workflows. 👨‍💻 Areas Where I Excel: ✅ Full-Stack .NET Development I craft backend and frontend solutions with ASP.NET Core, .NET 6/8, MVC, Razor Pages, and Web API. I also bring experience with Blazor, Angular, and React, following clean architecture and SOLID design. ✅ Desktop Application Engineering I build Windows apps using WPF, WinForms, MVVM, and Telerik controls. These include hardware integrations, PDF/image processing, and offline functionality. ✅ API Development & Integration I create and connect REST APIs with third-party services such as Stripe, Twilio, SendGrid, and CRM systems. I also develop custom APIs for tools like print services and internal dashboards. ✅ Database Architecture & Optimization I design performant database schemas and manage SQL Server, PostgreSQL, MySQL, and Cosmos DB. I focus on query performance, indexing, and schema evolution. ✅ Cloud & DevOps I deploy apps using Azure App Services, Functions, and CI/CD with GitHub Actions or Azure DevOps. I containerize services with Docker and orchestrate deployments via Kubernetes. ✅ Microservices & Distributed Architecture I build .NET Core microservices with RabbitMQ, Kafka, and Ocelot. These systems serve web and mobile platforms with real-time and asynchronous communication. 🔍 Key Project Highlights: iGaming Platform: Built a real-time casino system using .NET Core, SignalR, Kafka, ScyllaDB, ClickHouse, PostgreSQL, ELK stack, and Power BI. Deployed via Docker on AWS. Loan Automation: Delivered a full-cycle loan platform with .NET Core, OData, EF Core, Azure Service Bus, Hangfire, CosmosDB, Angular, and Power BI. App Marketplace: Developed a microservice-based SaaS platform with RabbitMQ, Stripe, Angular 6, Ocelot, Autofac, and SQL Server. Fleet ERP: Built WPF/Angular tracking ERP with EF6, SQL Server, MEF, GIS, and modules for driver behavior, fuel tracking, and maintenance. Insurance System: Created a UBI platform on ASP.NET Core, AngularJS, Kendo UI, and MS SQL for fraud detection and claims processing. Outlook CRM: Developed CRM integration for Outlook using ASP.NET MVC, AngularJS, Kendo UI, Azure Services, and hosted on IIS. Logistics ERP: Led development of a WPF .NET AngularJS ERP for transport tracking, satellite communication, and business ops. Medical Monitoring: Built a diagnostics app with ASP.NET MVC, DurandalJS, EF, and MS SQL. Hosted securely via IIS. Delivered enterprise-grade .NET solutions: real-time, cloud, ERP, CRM, fintech, and diagnostics systems. 🛠️ My Technical Toolbox: I specialize in C# and the .NET ecosystem, including .NET Core, .NET Framework, Web API, MVC, and WinForms. I rely on EF and LINQ for data access and schema control. My database experience covers MS SQL, PostgreSQL, MySQL, MongoDB, Redis, and Cosmos DB. I manage deployments on AWS and Azure, using Azure DevOps, Docker, and Git. For UIs, I use WPF, Blazor, Angular, and React with TypeScript. I also implement secure CI/CD, API integrations, and scalable infrastructure. Why Teams Work with Me: ✔️ I have over 15 years of professional engineering experience (more than 5 years of experience) ✔️ I possess expertise in both cloud and desktop software solutions ✔️ I have a proven ability to deliver enterprise-level applications ✔️ I possess an in-depth knowledge of DevOps and backend performance tuning ✔️ I can provide AI chatbot (AI Agents) development and workflow automation. ✔️ I have a high ownership, transparency, and quality focus ✔️ My English is fluent, and I can work both with international teams and independently. I collaborate with clients who value architecture, efficiency, and clean code. Whether your project is just starting or mid-scale, I bring clarity, experience, and technical strength to push it forward. Let’s connect and bring your vision to life with robust .NET development.

Since my final year of college I've been building mobile applications, visualisation tools and deployment-ready production systems for businesses across the world. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐁𝐮𝐢𝐥𝐝 👀 SaaS Startup Tech 👀 Production-Ready Web Applications 👀 Mobile Applications 👀 Visualisation Tools 👀 Platforms to Automate Manual Processes 𝐌𝐲 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 🛠️ WEB: JavaScript, TypeScript, Vue.js, React.js, HTML5, CSS, SCSS, SASS, 🛠️ BACKEND: Python, Flask, Tensorflow, Next.js, Express.js 🛠️ DEPLOYMENT & SECURITY: Docker, Azure, FlyIO, AWS, Vercel, Cloudfare 🛠️ DATABASE: MySQL, PostgreSQL, MongoDB, Clickhouse 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞 💯 Clear, responsive communication 💯 Detail-oriented with clean, maintainable code 💯 Always meet deadlines 💯 Strategic mindset / thinking like a product owner 💯 Long-term availability for ongoing support and scaling 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐒𝐭𝐚𝐫𝐭 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐌𝐞? Please don't hesitate to send me a message and I'll get back to you within the next few hours 🙌

I’m a world-class engineer with expertise in creating products used by enterprises, consumers, defense agencies, and governments. I’ve got deep expertise in every major technology stack from top to bottom, frontend to backend, OS to hardware. I’ve lead development on systems that deliver hundreds of billions of requests monthly, and have managed teams with 40-50+ direct reports across various functions. I'll work with you to first understand your problem in-depth, lay out a roadmap to completion, and start executing with regular updates so you're completely on the same page. You'll have constant confidence that your project is in the right direction. I work on a large range of technologies, including but not limited to: - Languages: Nodejs, TypeScript, Golang, JavaScript, C, C++, HTML, CSS, SCSS, Python, Java, Kotlin, PHP, Ruby, C#, Perl, Erlang, Zig, Swift, Rust - Frameworks / Platforms: Android, iOS, Django, Laravel, Ruby on Rails, .NET, Angular, React - Databases: PostgreSQL, MySQL, Redis, Elasticsearch, Clickhouse, RabbitMQ, ScyllaDB - Operations: Kubernetes, Docker, Ansible, HAProxy, Nginx, Terraform, Consul, Prometheus, Grafana - Protocols: TCP/IP, HTTP, gRPC, Protocol Buffers, SMTP, IMAP - Clouds: AWS, GCP, Azure, OpenStack

I help startups and businesses upgrade, fix, and scale PHP/Laravel backend applications, with a strong focus on existing and legacy codebases. I specialize in: ✅ Laravel application upgrades (including older 5.x projects) ✅ Bug fixing and post-upgrade stabilization ✅ API development and external integrations ✅ Refactoring and performance optimization ✅ Taking over unfamiliar or poorly documented systems I’m comfortable jumping into existing projects, understanding how things work, identifying technical risks, and delivering improvements without constant supervision or hand-holding. My work is built around: ✅ Clear and transparent communication ✅ Predictable delivery and realistic estimates ✅ Clean, maintainable, and future-proof solutions I use modern tools to work efficiently, but architecture decisions and final code quality are always my responsibility. Typical stack: ✅ PHP (5.6–8.4) ✅ Laravel/Laravel Octane ✅ REST APIs ✅ Vitess/MySQL/MariaDB/PostgreSQL ✅ Redis/MemCached/ElasticSearch/ClickHouse ✅ Docker/K8S ✅ Git, Linux ✅ KrakenD - API Gateway. Queues: ✅ RabbitMQ, ✅ Apache Kafka Additional: ✅ TypeScript/JavaScript ✅ Node.js ✅ Vue.js (Options API, Composition API) ✅ Nuxt.js 2-3 ✅ JQuery ✅ Bootstrap, Tailwind CSS, SCSS ✅ HTML 5 Payment system integrations (webhooks, subscriptions, retries, idempotency, refunds, chargebacks): ✅ Stripe ✅ PayPal ✅ Paygine ✅ CloudPayments ✅ PayBox ✅ Wooppay ✅ QIWI Business ✅ Robokassa Bot integrations (webhooks, background jobs, rate limits, message queues, role-based access): ✅ Telegram bots ✅ WhatsApp Business API ✅ Slack bots ✅ Discord bots Third-party API (integrations with proper error handling, retries, circuit breakers, and monitoring). ✅ CRM (HubSpot, Salesforce) ✅ Email (SendGrid, Mailgun, SES)/SMS/Calls ✅ Analytics ✅ Maps, geo, shipping ✅ AI / ML APIs (если уместно) Production monitoring and observability: error tracking, performance metrics, logging, and alerting for live systems. ✅ Sentry ✅ Grafana/Prometheus Infrastructure & Production ✅ Cloud deployments (AWS, Google Cloud, DigitalOcean) ✅ Environment isolation (dev/staging/prod) ✅ Monitoring, logging, and alerting ✅ Secure configuration and credentials If you’re looking for a Laravel backend engineer who can safely improve your system and take ownership without drama, feel free to reach out.

I am a Forward Deployed Engineer with 7+ years of experience embedding directly with AI startups, SaaS companies, and enterprise teams to ship LLM and AI systems from working prototype to production and keep them running reliably as the product scales. Most engagements I join are past the demo stage. The hard part is already in front of the team: messy data, real load, compliance requirements, and systems that need to stay up. That is the environment I work best in. What I have shipped for clients: Designed and deployed a RAG pipeline using Python, FAISS, and Pinecone for a SaaS knowledge base cutting query response time from 4.2s to under 800ms and improving answer relevance scores by 38%. Built a multi-agent AI copilot using LangChain, LangGraph, and GPT-5o, integrated into an enterprise support platform handling 20,000+ user sessions per month. Migrated a fragile notebook-based ML workflow to a production MLOps system on AWS SageMaker and Apache Airflow, reducing model deployment time from 3 days to under 2 hours. Architected a Snowflake data platform for a Series B startup, replacing 6 brittle ETL scripts with a dbt and Airflow pipeline that runs daily with zero manual intervention. Deployed a real-time anomaly detection system on AWS Kinesis and Apache Flink, processing 500k events/day for a fintech client with sub-second alerting. Built a computer vision inspection pipeline using PyTorch and TensorFlow on AWS ECS, reducing manual QA review time by 65% for a manufacturing client. LLM & AI Systems I take LLM products from prototype to production, RAG pipelines with FAISS, Pinecone, and Chroma using hybrid vector and keyword retrieval; multi-agent systems with LangChain and LangGraph; and AI copilots backed by GPT-5o, Claude API, Mistral, and open-source models via HuggingFace and LlamaIndex. For model adaptation I implement LoRA fine-tuning and PEFT to keep inference costs low without sacrificing accuracy. Forward Deployment & Production Engineering I build production inference services using FastAPI and Django, expose REST and GraphQL APIs, and own the full deployment lifecycle inside your environment, not just the model. I embed with your team, learn your systems, and take end-to-end ownership from scoping through go-live. Data Infrastructure I design and build ETL and ELT pipelines with Python, dbt, Apache Airflow, Prefect, and Dagster. For distributed workloads: Apache Spark and PySpark. For streaming: Apache Kafka, AWS Kinesis, Google Pub/Sub, and Apache Flink. Storage across Snowflake, BigQuery, Redshift, ClickHouse, S3 lakehouses, PostgreSQL, MongoDB, and Redis. MLOps & Cloud Full model lifecycle: experiment tracking with MLflow and Weights & Biases, drift detection, and observability pipelines. Infrastructure across AWS (ECS, EKS, SageMaker, Lambda), GCP (Vertex AI, Cloud Run, BigQuery), and Azure ML, containerised with Docker and Kubernetes, deployed via Terraform and GitHub Actions CI/CD, monitored with Prometheus and Grafana. If your LLM prototype needs to become a real product, or your current AI stack is fragile in production, that is exactly where I come in. Let's talk.

👋 Hello! I'm a Senior Developer 🚀 10+ years of experience in AI/ML, Data Science, and Web3/Cryptocurrency technologies. I specialize in building intelligent, data-driven, and automated systems — from AI-powered applications to high-performance data pipelines and decentralized platforms. 🧠 AI / Machine Learning Multi-Agent Systems with Reactive Automation, Memory Management & Self-Correcting RAG Expertise in Machine Learning, Deep Learning, and NLP Modeling Applied LangChain, MCP, PyTorch, TensorFlow, and more ⚙️ Technical Expertise Languages: Python, Rust, C/C++, Golang, JavaScript/TypeScript Databases: PostgreSQL, MySQL, MongoDB, ClickHouse, InfluxDB AI & ML Tools: LangChain, Model Context Protocol (MCP), PyTorch, TensorFlow, n8n/make Data & Visualization: Spark, Pandas, Matplotlib, Seaborn Front-End: React, Next.js Cloud & DevOps: AWS, Firebase, Supabase, Vercel, Cloudflare Containerization: Docker, Kubernetes (k8s) 💡 Why Work With Me? With years of leadership experience in top-tier companies, I bring a blend of technical depth, strategic thinking, and team collaboration. I value Responsibility, Simplicity, and Passion — the three pillars of great engineering. 📩 Let’s collaborate and transform your data and ideas into powerful, intelligent systems!

I build AI agents that survive contact with production: LangGraph state machines, Claude/Anthropic SDK integrations, RAG pipelines, and MCP servers with human-in-the-loop gates and audit trails. Every claim below links to running code you can inspect. WHAT I SHIP - Agentic workflows (LangGraph): explicit state graphs — classify → extract → validate → human approval → commit. No silent retries, no LLM freehanding writes to your systems. - MCP servers: your databases and APIs exposed as agent tools, with row-level security. I build this daily at my full-time role (AI-generated equity research reports over 100GB+ financial data, Anthropic SDK + LangGraph + row-level-secured MCP). - LLM fine-tuning: local models via Ollama/LoRA with an eval harness — delivered as a 5-star Upwork job ("above and beyond expectations"). - Data foundations: Airflow, Snowflake, Databricks, DuckDB pipelines at 100GB+ scale — because agents are only as good as the data layer under them. PROOF (public repos, All available on Github) - Document Pipeline — Claude-vision extraction, LangGraph validation graph, one bounded repair loop, human approval gate, Postgres commit. 55-test suite - Inbound Lead Responder — 6-node LangGraph agent: classify → extract → route → draft proposal DOCX. - Portfolio Summarizer — daily ETL (SEC EDGAR, Yahoo Finance, Alpha Vantage) on Airflow, 14-table DuckDB warehouse, MCP-exposed to a Claude agent. - FaceClusterer — SigLIP + InsightFace ensemble clustering for noisy real-world images. DAY JOB (yes, I also do this full-time) AI/Data Engineer at Maiden Century (fintech): I lead development of an AI Reports product — tiered equity research (ticker screening → company deep-dives → metric-level analysis) generated by Claude agents over institutional financial data, secured with row-level MCP. HOW I WORK Every proposal I send defines "Done =" in one sentence before we start. I tell you what I haven't used before I bid, not in week two. Human-in-the-loop by default for anything that writes to a real system. Stack: Python · LangGraph · LangChain · Anthropic SDK (Claude) · MCP · Ollama · PyTorch · FastAPI · PostgreSQL · Airflow · Snowflake · Databricks · DuckDB · Docker · AWS · Azure If your last AI project stalled at the demo stage, send me the brief — I'll reply with an architecture sketch and a fixed "Done =" definition, free.

I'm a data engineer and database expert with a passion for data and extensive experience across a broad skill set: * Expert in SQL (Oracle, Postgres, MySQL, Redshift, SQL Server, Snowflake, Clickhouse), PL/SQL / PL/pgSQL, Data Modelling, Data Warehousing, query optimization / performance tuning, and Oracle APEX. * Competent across the following cloud platforms - AWS, Azure and OCI. * Proficient in Python, Terraform, Kafka, DBT, NoSQL and graph databases (MongoDB, Neo4J), Azure Devops Pipelines / CI/CD, Kubernetes, Docker, orchestration tools (Airflow, Prefect) I'm a great communicator and have a proven track record of exceeding client expectations. I'm a native English speaker and I believe communication is key, especially when working remote. I look forward to speaking with you.

⏰ Available 24/7 – Long-term & High-impact Projects Hi, I’m Nghi, a Senior Data Engineer and Data Architect with a strong backend foundation, now focused on building high-performance analytics platforms, explainable data pipelines, and production-grade cloud architectures. I help companies transform unreliable, slow, or opaque data systems into scalable, well-documented, and business-trustworthy platforms. 🧠 WHAT I SPECIALIZE IN 🏗️ Data Architecture & Platform Design - Designing modern lakehouse & warehouse architectures - dbt-first analytics engineering with testing, freshness & lineage - Event-driven and batch hybrid pipelines - Data quality frameworks & SLA monitoring - Customer-facing data explainability systems Tools: dbt, Dagster, Airflow, Spark, Kafka, Snowflake, BigQuery, Redshift, PostgreSQL, DuckDB, ClickHouse ⚡ Database Performance Engineering - If your queries are slow, costs are high, or dashboards lag, This is my zone - Query plan analysis & index strategies - Warehouse cost optimization (Snowflake, BigQuery, Redshift) - OLTP & OLAP performance tuning - High-concurrency workload design 🔄 Reverse ETL & Operational Analytics - Syncing analytics back to CRMs & internal tools - Building real-time metrics pipelines - Feature-store style transformations 🕷️ Enterprise-grade Web Data Extraction - I don’t just scrape pages, I build durable data acquisition systems: - Complex ASP.NET, JS-heavy, authenticated & paginated systems - Anti-bot bypassing & failure-recovery pipelines - Headless browser automation + async scraping - Real-estate, finance, campaign-finance & marketplace platforms ☁️ Cloud Infrastructure - AWS | Azure | GCP - EMR / Dataproc / Glue / Dataflow / Synapse / BigQuery / Redshift - Terraform-based deployments - Cost-aware architectures - Kubernetes + Dockerized data services 🧪 What You Get Working With Me ✔️ Production-ready pipelines ✔️ Clean, testable dbt models ✔️ Well-documented architecture diagrams ✔️ Transparent data logic for non-technical stakeholders ✔️ Systems that scale beyond MVP ✔️ Honest advice and not over-engineering 🏆 Ideal Projects 👍 Data warehouse migrations 👍 Broken pipelines that need debugging & stabilization 👍 Analytics platforms that lack trust or explainability 👍 Performance bottlenecks costing thousands per month 👍 Long-term data platform ownership ❣️ Why Clients Stay Long-Term 🍀Clear communication 🍀 Business-first thinking 🍀 No black-box systems 🍀 I build systems others can maintain 🇻🇳🇻🇳🇻🇳🇻🇳 If your data platform feels fragile, slow, or impossible to explain to customers, I can fix that. Let’s make your data system something you can confidently stand behind.

Are you tired of dealing with web scrapers that break every week, get blocked by Captcha, or drain your budget on expensive proxies? Hi, I’m Radwan. I help businesses stop fighting with their data extraction setups. If you need reliable data to drive your business forward, I build resilient, enterprise-grade web scraping pipelines that actually work, run quietly in the background, and scale to millions of records. Whether you need real-time automotive lead generation, social media metric tracking, or competitor price monitoring, I bridge the gap between complex web data and your business goals. Here is what I bring to the table: Recently, as a Lead Scraping Engineer, I helped an enterprise client cut their server and proxy costs by 75% by replacing heavy browser automation with optimized HTTP pipelines and custom anti-bot routing. I also engineered a nationwide lead-gen pipeline using Kafka and ClickHouse that handles over 10 million daily requests without breaking a sweat. How I make your life easier: I don’t just write scripts; I build end-to-end automation solutions. You tell me what you need, and I will deliver the structured datasets exactly how you want them—whether that’s a clean JSON API, a simple CSV, or direct integration into your PostgreSQL or BigQuery data warehouse. The tools I use to get it done: While you focus on growing your business, I handle the heavy technical lifting: The Fundamentals: Python, FastAPI, Django, and Playwright for seamless web scraping. Enterprise Scaling: I am an Apify expert (with 4 published Actors on the store), using Docker, AWS, and Kafka to ensure your data extraction systems never crash under pressure. Bypassing the Unblockable: Custom in-house Captcha solvers, HTTP reverse-engineering, and smart proxy management to reliably extract data from the hardest targets. AI Integration: Smart crawling and RAG-style enrichment using OpenAI, Gemini, and Pinecone. My Promise to You: Every project I deliver comes with production-ready code, clear documentation, and 30 days of post-launch support to ensure your new automation system runs flawlessly. Have a web scraping target in mind or a legacy scraper that needs fixing? Send me a quick message with a link to your target website, the data you need, and how often you need it updated. I will get back to you with a concrete architecture plan and timeline!