Senior Software Engineer

About Me

Senior Software Engineer with 8+ years of full-stack experience across Python, React, and AI-driven solutions — architecting cloud-native, microservices-based platforms that ship at production quality.

Hi, I'm Farxad Hanifeyev

I design and build distributed systems where high-performance Python and Node.js back-ends meet expressive, user-centered React front-ends. A decade in production — across AI-powered e-commerce, real-time analytics, and secure cyber-security workflows — has sharpened the same set of habits: cloud-native architecture, observable services, ML-driven intelligence, and the DevOps discipline that turns ambitious ideas into reliable releases.

NEON IT, Frespear Inc., and the Azerbaijan Cyber Security Center — three very different environments, one compounding career. At Frespear I learned how to ship full-stack products end-to-end: React + Node.js SPAs, GraphQL APIs, ML-backed personalization, and serverless AWS infrastructure tuned for cost and scale. At NEON IT I took that foundation into AI-powered platforms — TensorFlow recommendation engines that lifted engagement, microservices migrations on Docker + Kubernetes that cut downtime by 40%, and CI/CD pipelines that made every deployment a non-event. The cyber-security work sharpened a different instinct entirely: penetration testing, ML-driven anomaly detection, MFA / 2FA, and end-to-end AES + TLS encryption that meets GDPR and ISO 27001. Each context taught the same lesson: build reliable systems, keep data secure, and never let scale be an afterthought.

8+Years shipping product
AI·MLProduction integrations
AWSCloud-native & serverless
K8s·DockerMicroservices at scale

Experience

01
01

Senior Software Engineer

Dec 2024 — Present
NEON IT· Baku, Azerbaijan · On-site

At NEON IT, I have been responsible for developing cutting-edge, highly scalable applications using modern frameworks and cloud-native technologies. During this time, I leveraged the latest AI, cloud, and containerization trends to deliver impactful solutions.

  • Architected cloud-native applications using AWS and serverless technologies such as AWS Lambda, API Gateway, and DynamoDB, achieving scalable and cost-effective solutions
  • Integrated AI-driven analytics into the platform using Python and TensorFlow, providing real-time insights and predictive models that improved user interaction and customer behavior understanding
  • Led the implementation of containerized microservices using Docker and Kubernetes, ensuring fast, reliable deployments and reducing the time-to-market for new features by 30%
  • Utilized GraphQL to build optimized APIs, reducing the number of API calls and improving data fetching performance by over 40%, leading to a more responsive user interface
  • Employed React.js with Redux to build dynamic, high-performance user interfaces with complex states, improving client-side rendering and user experience across devices
  • Focused on building secure and scalable applications by using OAuth 2.0, JWT, and multi-factor authentication (MFA), ensuring compliance with data protection regulations like GDPR
  • Implemented CI/CD pipelines with GitLab CI and Jenkins, automating testing and deployment, which increased productivity by 25% and minimized deployment errors
  • Adopted serverless architectures to minimize operational overhead, scaling applications automatically in response to variable demand without compromising performance or security
  • Integrated real-time chat and notifications using WebSockets, enabling live communication for users across the platform
02
02

Full Stack Engineer

Feb 2020 — Sep 2024
Frespear Inc.· Baku, Azerbaijan · On-site

At Frespear Inc., I was deeply involved in both front-end and back-end development, staying ahead of the trends in AI, cloud technologies, and modern JavaScript frameworks.

  • Built scalable and dynamic single-page applications (SPAs) using React.js and Redux, ensuring optimal performance and usability across devices with responsive design
  • Developed the back-end using Node.js and Express.js, building highly performant APIs and implementing complex features such as user authentication, real-time data syncing, and data caching
  • Integrated machine learning models into the platform for personalized recommendations, improving user engagement by 20% by predicting user preferences and behaviors
  • Used GraphQL to optimize data fetching, allowing front-end components to query only the required data and reducing network usage
  • Designed serverless architecture with AWS Lambda and API Gateway, which significantly reduced infrastructure costs and optimized the application's scalability
  • Leveraged MongoDB for flexible data storage and PostgreSQL for transactional data, ensuring the correct tool for every use case and optimizing performance for each service
  • Deployed applications in Docker containers, allowing for consistency in both development and production environments while reducing dependency issues
  • Implemented OAuth 2.0 and JWT for secure, token-based authentication, ensuring that only authorized users can access sensitive information and resources
  • Developed real-time notifications and messaging features using WebSockets, creating a highly interactive experience for users
  • Optimized front-end performance by implementing code-splitting and lazy loading using React and Webpack, reducing initial page load times by 50%
03
03

Cyber Security Student

Jan 2024 — Jul 2024
Azerbaijan Cyber Security Center· Baku, Azerbaijan · On-site

During my time at the Azerbaijan Cyber Security Center, I developed an in-depth understanding of security protocols, data protection, and secure coding practices, which I applied to both front-end and back-end systems.

  • Conducted penetration testing on both client-side and server-side applications, identifying vulnerabilities such as cross-site scripting (XSS) and SQL injection, which were remediated to improve overall application security
  • Leveraged machine learning algorithms for real-time anomaly detection, helping improve the organization's ability to detect and mitigate threats 30% faster than previous methods
  • Implemented secure API design principles such as rate limiting, input validation, and output encoding to protect applications from common attacks
  • Worked with the security team to deploy firewalls and intrusion detection systems (IDS) that monitored traffic patterns and identified potential security threats across the network
  • Assisted in integrating multi-factor authentication (MFA) and two-factor authentication (2FA) into systems, ensuring additional layers of security for sensitive data
  • Designed and implemented end-to-end encryption using AES and TLS, ensuring data confidentiality during transmission and at rest, while meeting security standards like ISO 27001
  • Analyzed and mitigated security risks by implementing data masking and tokenization for sensitive customer data stored in databases
04
04

Frontend Developer

Jun 2018 — Apr 2023
NEON Agency MMC· Baku, Azerbaijan · Hybrid

At NEON Agency, I focused on building interactive and responsive user interfaces using the latest JavaScript frameworks and design methodologies to enhance user experiences across multiple platforms.

  • Developed responsive web applications with React.js, ensuring seamless interactions for users on mobile and desktop platforms by adhering to mobile-first principles
  • Used Redux for state management to handle complex application states across large, feature-rich applications, ensuring data consistency and real-time updates
  • Implemented server-side rendering (SSR) with Next.js, improving SEO performance and reducing load times by 30%, resulting in a better user experience and higher rankings in search engines
  • Integrated real-time features such as live data updates and push notifications using Socket.io and WebSockets, enhancing interactivity and keeping users engaged
  • Created custom UI components with React and Tailwind CSS, ensuring reusability and scalability across multiple projects
  • Leveraged GraphQL to efficiently fetch and manage data in React applications, allowing the front end to request only the data it needs and reducing over-fetching
  • Focused on performance optimization by implementing lazy loading, code splitting, and image optimization, reducing the app's loading time and improving user retention
  • Enhanced application accessibility by following WCAG (Web Content Accessibility Guidelines), ensuring that websites were usable by people with disabilities and met legal requirements
  • Led the implementation of a design system using Figma and Storybook, which increased collaboration between design and development teams and improved consistency across UI elements

Technical Skills

Languages

JavaScript (ES6+)
TypeScript
Python
HTML5
CSS3
SQL
GraphQL

Frontend

React.js
Redux
Next.js
Vue.js
Tailwind CSS
Webpack
WebSockets / Socket.io
D3.js / Chart.js
Progressive Web Apps (PWA)
CSS Grid / Flexbox
Code Splitting / Lazy Loading
Responsive Design

Backend

Node.js
Express.js
Django
Flask
GraphQL APIs
RESTful APIs
Microservices Architecture
Serverless Architecture
RabbitMQ
Kafka

AI / ML

TensorFlow
Python for ML
Machine Learning Algorithms
AI Recommendation Engines
Real-time Data Processing with ML
NLP
Anomaly Detection with ML

Databases

MongoDB
PostgreSQL
DynamoDB
Redis

Cloud & DevOps

AWS
AWS Lambda
API Gateway
S3
EC2
CloudWatch
CloudFront
Serverless Framework
Docker
Kubernetes
Terraform
Jenkins
GitLab CI
CI/CD Pipelines
IaC
Automated Testing

Security & Authentication

OAuth 2.0
JWT Authentication
Multi-Factor Authentication (MFA)
Role-Based Access Control (RBAC)
Penetration Testing
Firewalls
Intrusion Detection Systems (IDS)
AES / TLS Encryption
GDPR
ISO 27001

Version Control

Git
GitHub
GitLab
Bitbucket