vital AI

בעל ניסיון בבניית מערכות אוטומציה חכמות לעסקים, עם התמחות ב-Make (Integromat) ו-n8n, כולל שילוב AI Agents בתהליכים תפעוליים, מכירתיים וניהוליים.

אני מתמחה בתכנון והקמה של תהליכים אוטומטיים מקצה לקצה, שמחליפים עבודה ידנית, מצמצמים טעויות אנוש ומייצרים שליטה מלאה בזרימת המידע בארגון.

תחומי התמחות עיקריים:

בניית אוטומציות CRM (לידים, לקוחות, פולואפים, פייפליין, התראות)

חיבור מערכות SaaS, טפסים, Google Sheets, מסדי נתונים ו-APIs

הקמת Workflows מורכבים ב-Make וב-n8n (ראוטרים, תנאים, שגיאות, לוגים)

בניית AI Agents שמבצעים:

ניתוח נתונים

קבלת החלטות לפי חוקים עסקיים

העשרת מידע

ניתוב משימות והפעלת מערכות המשך

אוטומציה של תהליכים תפעוליים (Operations, Finance, HR, שירות לקוחות)

אופן העבודה:

אפיון תהליך עסקי → תרגום ללוגיקה אוטומטית

בניית מערכת יציבה, קריאה וניתנת להרחבה

בדיקות קצה, טיפול בשגיאות והטמעה מלאה

תיעוד ברור והדרכה להמשך שימוש

הרקע שלי משלב הנדסה תעשייתית, ניהול עסקי ויישום טכנולוגי, ולכן אני לא רק “מחבר כלים” – אלא בונה מערכות שעובדות לאורך זמן.

Amazon RDS – Relational Database Service – Experience Description

I have extensive hands-on experience designing, deploying, and managing relational databases on Amazon RDS as part of production-grade backend systems and SaaS platforms.

My work includes using RDS as the core data layer for Python-based backends, automation engines, and AI-driven applications, with a strong focus on reliability, scalability, and data integrity.

Key experience includes:

Designing relational database schemas for SaaS and business systems

Working with SQL-based engines (e.g., PostgreSQL / MySQL) on Amazon RDS

Database optimization, indexing, and query performance tuning

Managing backups, snapshots, and high-availability configurations

Secure access management and integration with backend services and APIs

Using RDS as part of cloud-native architectures alongside automation workflows and AI services

I approach database design as a core architectural component, ensuring that data models support long-term scalability, automation, and real-world operational needs.

I have hands-on experience designing, deploying, and operating cloud-based systems on Microsoft Azure as part of full-stack, automation-driven, and SaaS architectures.

I use Azure to support backend services, databases, automation engines, and AI-enabled applications, with a focus on reliability, scalability, and secure cloud operations.

Key experience includes:

Deploying backend services and APIs for Python-based applications

Working with Azure compute and storage services

Integrating Azure-based systems with external APIs, SaaS platforms, and automation workflows

Managing cloud environments to support SaaS products built from scratch

Ensuring scalability, availability, and secure access to cloud resources

Using Azure as part of multi-cloud architectures alongside AWS and Google Cloud

I approach Azure not as isolated infrastructure, but as an integral layer of system architecture, tightly connected to application logic, data layers, automation, and AI components.

Python – Experience Description

I have over 10 years of experience working with Python across full-stack systems, data-driven applications, and AI-powered solutions.

My background includes building end-to-end software systems – from backend logic and APIs to database design, cloud deployment, and integration with frontend and automation platforms.

Core areas of experience:

Backend & Full-Stack Development

RESTful APIs and backend services

Business logic, authentication, and system integrations

Databases & Data Handling

Relational and NoSQL databases (design, queries, optimization)

Data pipelines, validation, and transformations

AI & Machine Learning

Working with modern AI libraries and frameworks such as:

NumPy, Pandas

Scikit-learn

TensorFlow, PyTorch

OpenAI / LLM-based frameworks

Building AI components for classification, prediction, enrichment, and decision-making

Automation & System Integration

Python services connected to Make and n8n

Webhooks, APIs, background jobs, and event-driven workflows

Cloud & Deployment

Development and deployment on AWS, Google Cloud, and Microsoft Azure

Scalable, production-ready architectures

I regularly use Python as the core language for building SaaS platforms, automation engines, and AI-driven systems from scratch, with a strong focus on clean architecture, maintainability, and real-world performance.

DB – MongoDB – Experience Description

I have extensive hands-on experience working with MongoDB as a core data store for modern backend systems, automation platforms, and SaaS applications.

I use MongoDB primarily for schema-flexible, high-throughput, and data-driven systems, where speed, scalability, and adaptability are critical.

Key experience includes:

Designing document-based data models for SaaS platforms and automation systems

Storing and processing structured and semi-structured data

Building backend services and APIs in Python integrated with MongoDB

Optimizing queries, indexes, and data access patterns

Managing data integrity and performance at scale

Using MongoDB in cloud environments alongside AWS, GCP, and Azure services

MongoDB is often used as part of event-driven and AI-powered architectures, supporting fast iteration, automation workflows, and evolving data models.

My experience includes working with image data for analysis, classification, validation, and enrichment, often embedded inside automated workflows and SaaS platforms. I integrate image processing capabilities with Python-based backends, databases, and cloud infrastructure to support real business use cases rather than standalone experiments.

PSD Design to HTML + CSS – Experience Description

I have extensive experience translating design files (PSD and modern design tools) into clean, responsive, and production-ready HTML and CSS as part of full-stack and SaaS systems.

My focus is not only on visual accuracy, but on building maintainable frontend code that integrates seamlessly with backend services, APIs, and automation workflows.

Key experience includes:

Converting PSD designs into pixel-accurate HTML & CSS

Responsive layouts for desktop, tablet, and mobile

Structuring frontend code to support dynamic data and backend logic

Ensuring cross-browser compatibility and performance

Integrating frontend views with Python backends, APIs, and SaaS platforms

Preparing frontend layers for automation, AI-driven features, and dynamic workflows

I approach frontend development as part of a full system architecture, ensuring the UI supports scalability, usability, and long-term maintenance — especially in SaaS products built from scratch.