XANT

As the Founder of XANT, I spearheaded the design and deployment of advanced software solutions for startups, utilizing .NET technologies like ASP.NET Core MVC and SQL Server. I led end-to-end development of custom Content Management Systems and applications across various sectors, ensuring high performance and scalability. My role involved stakeholder engagement, technical documentation, rigorous testing, and performance optimization, with a focus on clean architecture and continuous learning.

Technologies: C#, JavaScript, ASP.NET Core MVC, .NET Framework, Entity Framework, REST APIs, Microsoft SQL Server, xUnit, NUnit, Microsoft Azure, React

Skills: Full-Stack Development, System Design and Architecture, Performance Optimization, Unit and Integration Testing, Technical Documentation, Stakeholder Engagement, Debugging, Clean Architecture, Multi-Layered Design, API Design and Maintenance

Founder

• Design, develop, and deploy AI/ML-powered SaaS platforms, delivering scalable, modular solutions for startups and enterprises.
• Architect full-stack applications with integrated AI models for personalization, automation, and advanced analytics.
• Build cloud-native, microservices-based systems using .NET, Python, and JavaScript (React/Next.js), with scalable infrastructure on Azure and AWS.
• Apply Clean Architecture, Domain-Driven Design, and multi-layered principles for maintainable, technical excellence.
• Lead technical strategy, system design, and feature planning across multiple products, acting as both engineer and architect.
• Integrate LLMs (OpenAI, HuggingFace) and classical ML models (scikit-learn, TensorFlow) into back-end and front-end.
• Conduct Unit, Integration, and E2E testing to ensure robustness and rapid iteration.
• Build internal tools, CI/CD pipelines, and deployment strategies with Docker, GitHub Actions, and Kubernetes.
• Produce technical docs for APIs, tooling, and system architecture to streamline scaling and onboarding.
• Review code, mentor engineers, and maintain high engineering standards across the stack.

Technologies: .NET, C#, ASP.NET Core, Entity Framework, Python, FastAPI, OpenAI APIs, Azure OpenAI, JavaScript/TypeScript, React, Next.js, PostgreSQL, SQL Server, Azure, AWS, Docker, Kubernetes, Microservices, Clean Architecture, GitHub Actions, CI/CD, xUnit, ML.NET, LangChain

Lead AI SaaS Engineer

• Engineered and deployed advanced software solutions for two startups, leveraging .NET technologies.
• Collaborated with stakeholders to define and document business requirements, creating functional and technical specifications aligned with objectives.
• Architected bespoke end-to-end solutions, such as custom Content Management Systems for clients in e-commerce, the wood industry, tourism, and legal services.
• Enhanced code quality through rigorous Unit and Integration Testing with xUnit and NUnit, significantly reducing defects.
• Produced technical documentation, including system architecture and API guides, to streamline development, maintenance, and onboarding.
• Optimized application performance using profiling tools and refactoring, improving speed and user satisfaction.
• Diagnosed and resolved complex issues with debugging tools to enhance system stability and support.
• Conducted code reviews to ensure adherence to industry standards in quality, security, and maintainability.
• Leveraged clean architecture and multi-layered design principles to build scalable, robust, and maintainable applications.
• Proactively solved technical challenges through innovative solutions and a deep understanding of software engineering.
• Committed to continuous learning, acquiring and applying new technologies in project work.

Technologies: ASP.NET Core MVC, .NET, C#, Microsoft SQL Server, Entity Framework, REST APIs, xUnit, NUnit, API Documentation, Profiling Tools, Multi-Layered Design, Clean Architecture

Software Engineer

• Architected and deployed a bespoke accounting desktop application for a wood company, facilitating financial record-keeping, inventory management, and financial analysis, which significantly enhanced operational control and reporting accuracy.
• Designed and developed a comprehensive patient management desktop application for a clinic, streamlining patient records, appointments, and billing processes, leading to a 30% increase in operational efficiency and enhanced patient care.
• Customized and enhanced pre-designed templates to deliver visually compelling websites, driving user engagement and satisfaction through tailored layouts and advanced optimizations.
• Expertly improved SEO performance across multiple websites by refining content, optimizing keywords, and enhancing media elements, leading to a notable increase in organic traffic and overall user experience.
• Developed cutting-edge JavaScript-based website templates, showcasing strong entrepreneurial skills and broadening the impact of high-quality web development solutions.

Technologies: .NET Framework, C#, WPF, WinForms, Microsoft SQL Server, HTML, CSS, JavaScript, SEO Optimization, Bootstrap, Desktop Application Development

Full Stack Engineer

Monoversity

As the Founder of Monoversity, I designed and delivered specialized courses in Machine Learning, ASP.NET Core, and C#, equipping students with advanced technical skills. I created and shared extensive content on programming, including posts, podcasts, and videos, and provided expert consultations and one-on-one mentorship to support learners in their software development journey.

Technologies: C#, ASP.NET Core, Python, Machine Learning Frameworks (TensorFlow, Scikit-learn), REST APIs, SQL, Git, Azure

Skills: Technical Training, Technical Writing, Programming Mentorship

• Led a comprehensive Machine Learning course for 30 master's students, covering advanced topics, guiding academic projects, and mentoring on applying ML techniques to real-world challenges, while supervising the implementation and analysis of 20 practical ML projects as part of the curriculum.
• Conducted an in-depth ASP.NET Core course for different cohorts, providing students with advanced skills in developing scalable and high-performance web applications using the ASP.NET Core framework.
• Conducted intensive C# classes, including foundational and advanced courses, providing students with deep technical knowledge and hands-on experience in C# programming.

Technologies: ASP.NET Core MVC, .NET, C#, Microsoft SQL Server, Entity Framework, Python, MATLAB, TensorFlow, Keras, Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, Artificial Neural Networks (ANNs), Optimization Algorithms, Jupyter Notebooks

Software Development Instructor

• Created and published over 200 professional posts on programming techniques and coding practices, complemented by over 20 podcasts and videos across various platforms.
• Provided expert consultations to over 100 students, supporting their software development goals and refining their learning pathways.
• Conducted one-on-one programming sessions and live broadcasts to deliver mentorship and technical expertise to guide newcomers in the coding community.

Technologies: C#, Javascript

Technical Content Creator

.NET Foundation

• Actively contribute to the .NET Foundation by creating and sharing technical content, supporting the foundation’s mission of advancing .NET technologies.
• Contributing to open-source .NET projects and developing additional projects using various .NET technologies, enhancing the overall .NET ecosystem.

Technologies: C#, .NET Core

Open Source Software Developer

AITIS (AITI Solutions)

• Developed healthcare software leveraging AI/ML to enhance user health-tracking capabilities.
• Designed and implemented scalable microservices architectures using Python and FastAPI.
• Ensured robust data validation with Pydantic and efficient database management with SQLAlchemy.
• Maintained and upgraded mobile applications for wearables using Kotlin and React Native, ensuring smooth performance and compatibility.
• Collaborated with cross-functional teams to deploy machine learning models into production environments.

Technologies: Python, FastAPI, Pydantic, SQLAlchemy, PostgreSQL, React, React Native, Kotlin, Microservices Architecture, AI/ML Model Deployment, Docker, AWS

Bright Network

• Developed strong leadership skills through guiding project tasks and fostering team collaboration.
• Gained hands-on project management expertise in planning, executing, and monitoring project timelines while completing a final project report.
• Developed insights into personal branding strategies, teamwork dynamics, commercial awareness, and resilience in professional settings, and actively engaged with the community through networking.

Technology Associate

City St George’s, University of London

• Conducted surveys to collect and record data accurately while maintaining confidentiality, and provided information on career and alumni services.
• Assisted with event management, including crowd control, guest inquiries, and logistical support to ensure smooth operations.
• Facilitated guest registration and provided event materials, contributing to the successful setup and execution of various functions.
• Supported attendees by offering guidance and addressing inquiries, enhancing their overall experience during events.

Marketing and Events Ambassador

University of Isfahan

• Partnered with experts from the mechanical engineering department, applying machine learning expertise to address complex optimization challenges.
• Spearheaded research initiatives to develop and refine machine learning models for precise predictions of material behaviors, contributing to advanced engineering solutions.
• Applied deep learning techniques to enhance the analysis and optimization of composite materials.
• Engineered novel algorithms to refine predictions and optimize material properties, fostering interdisciplinary problem-solving efforts.
• Implemented artificial neural networks for predictive modeling and analysis, integrating computer engineering methodologies with cutting-edge optimization techniques.

Technologies: Python, MATLAB, TensorFlow, Keras, Scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, Artificial Neural Networks (ANNs), Optimization Algorithms, Jupyter Notebooks

Machine Learning Engineer

• Assisted in teaching "C++ Programming Fundamentals" to 40 students, improving their comprehension.
• Evaluated students' homework and provided constructive feedback.

Technologies: C++, Visual Studio, Algorithms and Data Structures, Debugging Tools

 Programming Teaching Assistant

Mihanrayan

• Collaborated on HTML, CSS, and JavaScript coding tasks to develop various web-based projects.
• Executed rigorous testing and debugging processes to ensure optimal performance and usability of websites.
• Applied industry-standard front-end techniques to create user-friendly and visually appealing websites.
• Collaborated closely with UI/UX designers to ensure seamless integration of design elements and user-centric features into web projects.

Technologies: HTML, CSS, JavaScript, Bootstrap, Joomla, Browser Developer Tools

Software Developer

Full Stack Software Engineer | .NET Specialist | Master's Student at City, University of London

Over the last 8 years, I’ve built and led the development of impactful software ventures across industries like healthcare, education, and enterprise systems.

As an entrepreneur, I specialize in turning ideas into scalable, real-world software businesses that solve meaningful problems.

I build SaaS platforms that are resilient, efficient, and designed with the user at the center, from concept to launch and beyond.

My focus is on crafting intelligent, data-driven products through:
- Clean architecture
- Modular design
- Modern engineering principles

I lead the design of distributed systems, microservices, and adaptive infrastructures that are built to grow and evolve with time.

I work closely with cross-functional teams, uniting engineering, design, and product to bring ambitious visions to life.

Every venture I lead blends software engineering, AI/ML, and data science, unlocking innovation through intelligent automation and smart systems.

I thrive on solving complex technical and business challenges by aligning strategy, design, and technology.

With a strong product mindset and systems thinking, I drive end-to-end execution, from problem discovery to scalable implementation.

As a founder and mentor, I’m committed to empowering the next generation of engineers and entrepreneurs through thought leadership, content, and mentorship.

Whether launching a new startup or scaling an existing platform, I bring a relentless focus on:
- Value
- Impact
- Long-term growth


→ Cutting-edge Solutions for Thriving Enterprises: xantco.com
_______
Let’s Connect:
- Instagram & X: @elliot1one
- GitHub: https://github.com/ElliotOne
- Support my work: buymeacoffee.com/elliotoneoi

Give me 2 mins and I’ll show you how to add real-time updates without WebSockets!   ⚡

Users expect dashboards, IoT panels, and monitoring tools to refresh instantly. Polling struggles to keep up.

𝐒𝐞𝐫𝐯𝐞𝐫-𝐒𝐞𝐧𝐭 𝐄𝐯𝐞𝐧𝐭𝐬 (𝐒𝐒𝐄) provide lightweight, one-way streaming over a single HTTP connection.

ASP .NET Core 10 includes native SSE support, making real-time streaming simple and efficient.

With built-in types like 𝐒𝐬𝐞𝐈𝐭𝐞𝐦<𝐓> and 𝐓𝐲𝐩𝐞𝐝𝐑𝐞𝐬𝐮𝐥𝐭𝐬.𝐒𝐞𝐫𝐯𝐞𝐫𝐒𝐞𝐧𝐭𝐄𝐯𝐞𝐧𝐭𝐬() from 𝐒𝐲𝐬𝐭𝐞𝐦.𝐍𝐞𝐭.𝐒𝐞𝐫𝐯𝐞𝐫𝐒𝐞𝐧𝐭𝐄𝐯𝐞𝐧𝐭𝐬, you can push updates using plain HTTP with almost no extra setup. 🚀

SSE works naturally with 𝐈𝐀𝐬𝐲𝐧𝐜𝐄𝐧𝐮𝐦𝐞𝐫𝐚𝐛𝐥𝐞<𝐓>, so the server sends data the moment it is produced.

In our example, your server uses:

1. TemperatureService to continuously generate readings through 𝐈𝐀𝐬𝐲𝐧𝐜𝐄𝐧𝐮𝐦𝐞𝐫𝐚𝐛𝐥𝐞<𝐓𝐞𝐦𝐩𝐞𝐫𝐚𝐭𝐮𝐫𝐞𝐄𝐯𝐞𝐧𝐭>

2. TemperatureEvent as a small record with Id, SensorId, Celsius, and Timestamp

3. A Minimal API endpoint using MapGet to stream events, set EventId, and handle resume logic via the 𝐋𝐚𝐬𝐭-𝐄𝐯𝐞𝐧𝐭-𝐈𝐃 header

On the client, the browser connects using 𝐄𝐯𝐞𝐧𝐭𝐒𝐨𝐮𝐫𝐜𝐞, listens for your event name, and automatically reconnects if the connection drops. 💡

SSE is a great fit for:
1. Live dashboards and monitoring panels
2. Log and event feeds
3. Market and price tickers
4. Notification systems

✅ Use SignalR if you need two-way communication.
✅ Use SSE if you only need updates from server to client.


P.S. SSE gives you a clean and scalable approach to real-time data delivery. It is HTTP-native, browser-friendly, and easy to implement with a few classes and namespaces.


Would you use SSE for your next real-time feature? 🤔 

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#dotnet #csharp #webapi #webdevelopment #codingtips #programmingtips #sse #serversideevents #technology

Elliot One

AI Engineer | Shaping the Next Generation of AI Engineers | Building Scalable SaaS & AI Solutions | Founder @ XANT & Monoversity

ASP.NET Core Server-Sent Events (SSE) by Elliot One

𝗦𝘁𝗼𝗽 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗛𝗲𝗮𝗱𝗮𝗰𝗵𝗲𝘀 with this Simple Architecture Change!🚀

Modern applications grow fast and traditional CRUD often slow you down. 

Mixed read and write logic leads to bloated models, tight coupling, and performance bottlenecks. 

As traffic increases, the system becomes harder to maintain and even harder to scale.

This is a common problem in maturing systems.

✅Here is the solution: 𝗖𝗤𝗥𝗦 + 𝗠𝗲𝗱𝗶𝗮𝘁𝗥 

CQRS separates write operations into Commands and read operations into Queries. 

This clear divide allows each side of the system to evolve and scale independently.

𝐖𝐡𝐲 𝐂𝐐𝐑𝐒 𝐡𝐞𝐥𝐩𝐬:

📌 Separation of Read and Write Models
 Use domain models for writes and lightweight DTOs for reads. This improves clarity and makes data retrieval more efficient.

📌 Better Scalability
 Read and write paths scale independently. High read traffic can use replicated read stores while writes stay transactional.

📌 Lower Lock Contention
 Write isolation helps maintain performance in high-concurrency environments.

📌 Cleaner, More Maintainable Architecture
 Commands, queries, and handlers keep the system modular and easier to reason about.

But CQRS brings many moving parts. 

That is where MediatR steps in.

𝗛𝗼𝘄 𝗠𝗲𝗱𝗶𝗮𝘁𝗥 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝗶𝗲𝘀 𝗲𝘃𝗲𝗿𝘆𝘁𝗵𝗶𝗻𝗴:

💡 Decouples callers and handlers
 Endpoints send requests to MediatR instead of directly calling services or 
repositories.

💡 Centralized request dispatching
 MediatR routes each command or query to its matching handler.

💡 Pipeline behaviors
 Validation, logging, caching, and other cross-cutting concerns stay clean and reusable.

💡 Easy testing
 Handlers are isolated and focused, which makes them simple to test.

Together, CQRS and MediatR deliver:
1. High performance APIs
2. A clean and focused codebase
3. Flexible horizontal scaling
4. Clear mapping between application actions and logic

This structure typically includes command and query records, dedicated handlers, DTOs for read models, and minimal API endpoints that communicate through MediatR. 

Each action has one clear location and one responsibility.


P.S. If your system is growing, handling heavy read or write volumes, or struggling with performance and complexity, CQRS with MediatR can transform your architecture.


Would you use this approach in your next project? 👇


———
💡 𝗦𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱 𝗶𝗻 𝗔𝗜 & 𝗠𝗼𝗱𝗲𝗿𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴.

👉 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲: https://www.elliotone.com
———

#cqrs #mediatr #softwarearchitecture #scalablesystems #dotnet

AI Engineer | Shaping the Next Generation of AI Engineers | Building Scalable SaaS & AI Solutions | Founder @ XANT & Monoversity | Senior Full Stack Engineer

CQRS and MediatR for Scalable Systems by Elliot One

Control Traffic, Protect Your APIs!🚀

Rate limiting is essential for building resilient, high-performance systems.

𝐂𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲 𝐑𝐚𝐭𝐞 𝐋𝐢𝐦𝐢𝐭𝐢𝐧𝐠 is one of the simplest and most effective algorithms offered by ASP .NET Core, which provides four built-in options.

This algorithm limits the number of 𝐜𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐫𝐞𝐪𝐮𝐞𝐬𝐭𝐬 to an endpoint. 

When the limit is reached, extra requests are either queued or rejected until active requests drop. 

This ensures stability under high load and protects system integrity ⚡.

Implementation in ASP .NET Core

1. Enable the Algorithm
↳ Use 𝐀𝐝𝐝𝐂𝐨𝐧𝐜𝐮𝐫𝐫𝐞𝐧𝐜𝐲𝐋𝐢𝐦𝐢𝐭𝐞𝐫() inside 𝐀𝐝𝐝𝐑𝐚𝐭𝐞𝐋𝐢𝐦𝐢𝐭𝐞𝐫().

2. Configure Options
↳ 𝐏𝐞𝐫𝐦𝐢𝐭𝐋𝐢𝐦𝐢𝐭: Max concurrent requests.
↳ 𝐐𝐮𝐞𝐮𝐞𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠𝐎𝐫𝐝𝐞𝐫: Order of queued requests.
↳ 𝐐𝐮𝐞𝐮𝐞𝐋𝐢𝐦𝐢𝐭: Max requests in queue.

3. Register Middleware
↳ Add 𝐚𝐩𝐩.𝐔𝐬𝐞𝐑𝐚𝐭𝐞𝐋𝐢𝐦𝐢𝐭𝐞𝐫() in the pipeline.

4. Apply to Endpoints
↳ Minimal APIs: .𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐑𝐚𝐭𝐞𝐋𝐢𝐦𝐢𝐭𝐢𝐧𝐠("𝐏𝐨𝐥𝐢𝐜𝐲𝐍𝐚𝐦𝐞")
↳ Controllers/Actions: [𝐄𝐧𝐚𝐛𝐥𝐞𝐑𝐚𝐭𝐞𝐋𝐢𝐦𝐢𝐭𝐢𝐧𝐠("𝐏𝐨𝐥𝐢𝐜𝐲𝐍𝐚𝐦𝐞")]

When to consider this algorithm:
↳ When controlling simultaneous requests is critical.
↳ To prevent overload and maintain performance.
↳ For predictable stability under heavy traffic 🔒.

P.S. Concurrency Rate Limiting is simple, powerful, and a must for high-traffic ASP .NET Core applications.


Have you used Concurrency Rate Limiting before?

———

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The Modern Engineer

Atanas Nikolov

Let's build a local AI in .NET That Actually Works! 🚀

I’ve been working with Semantic Kernel (SK), Microsoft’s SDK for building AI-powered applications. 

It lets developers integrate local or cloud AI models, manage prompts, maintain chat history, and chain skills in a reusable way.

Recently, I connected SK to local LM Studio models (OpenAI-compatible endpoints). 

This setup allows sending structured prompts and receiving precise, meaningful AI outputs. 

No cloud latency, no extra cost!!

Core Libraries & Namespaces
1. Microsoft.SemanticKernel – main SDK
2. Microsoft.SemanticKernel.ChatCompletion – chat services
3. Microsoft.SemanticKernel.Connectors.OpenAI – OpenAI-compatible connectors

Architecture
1. Four static example classes (Example1–Example4) demonstrate different AI tasks.
2. Each class has a RunAsync() method, callable from Program.Main.

Key Classes & Methods
⇢ Kernel – orchestrates AI calls, skills, and connectors
⇢ IChatCompletionService – handles chat-based AI models
⇢ ChatHistory – stores messages for context
⇢ AddSystemMessage(string) – defines AI role
⇢ AddUserMessage(string) – sends user prompts
⇢ GetChatMessageContentAsync(ChatHistory, settings) – returns AI responses

Important Parameters
⇢ Temperature – controls creativity
⇢ MaxTokens – limits response length
⇢ modelId – selects the AI model
⇢ endpoint – model API endpoint

I created four examples for you:
1️⃣ Rhyming Day – creative responses in rhyme
2️⃣ Text Summarization – concise paragraph summaries
3️⃣ Number Analysis – averages and trend identification
4️⃣ Number Prediction – predicts next number in a sequence

Semantic Kernel makes integrating local AI models into .NET clean, modular, and efficient. LM Studio locally avoids cloud latency and enables rich AI reasoning.


💻 Full repository: https://lnkd.in/e4wjjxW9
❗ Need help setting up and configuring LM Studio? Check out my latest issue on The Modern Engineer: https://lnkd.in/e-8eby3z


Let me know if you've tried this already!
———

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#semantickernel #localai #dotnetdevelopment #machinelearning #aidevelopment #technology

Shaping the Next Generation of AI Engineers | Founder @ XANT & Monoversity | AI Engineer | Senior Full Stack Engineer

Semantic Kernel & Local LM Studio by Elliot One

Caching is a key technique for improving application performance.

It speeds up responses by storing frequently accessed data.

In-Memory Caching is one of the simplest options in .NET, using the IMemoryCache interface.

With this approach, data lives directly in the server’s memory.

This makes retrieval extremely fast and works best for smaller or lightweight applications running on a single server.

Key Configuration Options 🔰 

1. Priority
Controls how cache entries are evicted when memory pressure increases.

2. Size
Lets you assign a size value to entries for size-limited caches.

3. Sliding Expiration
Resets the timer each time the entry is accessed.
The item expires only after a period of inactivity.

4. Absolute Expiration
Removes the entry at a fixed time, no matter how often it is accessed.


Advantages ✅ 
1. Very fast data access
2. Boosts overall performance
3. Simple to implement with built-in tools
4. Ideal for small or medium applications on a single instance

Disadvantages ❌ 
1. Uses server memory and can waste resources if unmanaged
2. Not suitable for long caching durations or large-scale scenarios
3. Does not scale across multiple servers without extra setup
4. Cache is lost when the server restarts or fails

Strong caching isn't just an optimization; it is a foundation of high-performance applications.


Have you ever worked with In-Memory Caching?


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#dotnet #cleancode #apidevelopment #microservices #programmingtips

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