Upstaff Developer Profile Directory

• Data Scientist with 4 years of experience delivering AI-driven solutions in dynamic pricing, demand forecasting, and text analysis using Python, SQL, and ML frameworks like PyTorch, TensorFlow, and XGBoost.
• Expertise in NLP, embeddings, and conversational AI, demonstrated by projects involving OpenAI API, LangChain, Dialogflow, and advanced text summarization pipelines.
• Proficient in cloud platforms AWS and GCP, containerization with Docker, and building scalable RESTful APIs for seamless integration.
• Strong background in system analysis with a Master’s degree, applying statistical models (SARIMA, Prophet) and optimization techniques (SLSQP) to real-world business problems.
• Skilled in end-to-end AI system development, including data processing, model research, deployment, and continuous maintenance within agile environments.

• 4 years of experience designing and deploying ML solutions in NLP, computer vision, speech, and signal processing domains using Python, PyTorch, TensorFlow, and HuggingFace.
• Expertise in building scalable ML pipelines, including real-time TTS systems, RAG-based legal assistants, and time series forecasting with XGBoost and Prophet.
• Proficient in data engineering, feature extraction, and hyperparameter tuning with tools like Optuna and MLflow for model lifecycle management.
• Hands-on experience with cloud platforms (AWS, GCP), containerization (Docker), and experiment tracking to ensure reproducible, production-ready deployments.
• Master’s degree in Computer Science from Kyiv School of Economics, with strong foundations in algorithms, data processing (Pandas, PySpark), and software engineering best practices.

• 7+ years of expertise in frontend and mobile development with a strong command of ReactJS, React Native, and TypeScript, delivering scalable cross-platform applications.
• Proven leadership in architecting solutions, leading React/React Native teams, and driving technical decisions aligned with product and design goals.
• Hands-on experience with modern web and mobile technologies, including Next.js, Redux, REST API, GraphQL, and native Android/iOS modules.
• Skilled in CI/CD pipelines, code quality tools (Eslint, Prettier, SonarQube), and testing frameworks (Jest, Detox, Playwright), ensuring robust software delivery.
• Master’s degree in engineering from a technical university, with a solid foundation in software development lifecycle, Agile methodologies, and responsive, accessible UI design.

• Senior Software Engineer with 8+ years of experience in fintech, e-commerce, SaaS, and healthcare, specializing in scalable backend and frontend solutions using Node.js, Python (Django), React.js, and AI frameworks like LangChain.
• Proven expertise in designing high-performance REST APIs, secure AWS Cognito SSO integrations, and optimizing system efficiency by up to 40% through caching, indexing, and query optimization.
• Strong background in cloud services (AWS Lambda, Cognito), database management (PostgreSQL, MongoDB, Redis), and modern DevOps practices including Azure DevOps and Docker.
• Experienced in AI-driven feature integration, multi-regional third-party service orchestration, and mentoring teams to deliver business-critical systems in agile, distributed environments.
• Holds a B.Sc. in Computer Engineering, with advanced certifications in ReactJS and NodeJS, and fluency in multiple programming paradigms and secure software design principles.

Senior Full-Stack Engineer with 17+ years of experience in versatile enterprise-grade projects for large service companies (Ciklum).

SOLID principles, OOP, and component-based design in cloud environments, CI/CD pipelines, and performant user interfaces used by large-scale applications:

• Back-End: Node.js, Next.js, PHP;
• DB: SQL (relational MySQL and PostgreSQL) and NoSQL;
• Front-end: JS/Typescript, React, Angular, Vue.js (pet); TanStack Query/Router, performance optimization;
• Cloud deployments on Azure, Vercel, and Netlify, CI/CD pipelines.

• Senior Data Engineer with 5+ years designing scalable lakehouse architectures and distributed data pipelines using Databricks, Snowflake (Snowpark), PySpark, Kafka, and Airflow across healthcare, life sciences, and finance domains.
• Expertise in building AI/ML-ready feature engineering pipelines, embedding datasets, and integrating ML workflows with MLflow and Databricks Feature Store for clinical risk modeling and forecasting.
• Proficient in cloud platforms AWS, Azure, and GCP, implementing CI/CD, Terraform IaC, and DataOps frameworks ensuring HIPAA-compliant governance and 99.5% SLA data freshness.
• Strong background in performance optimization, including Snowflake query tuning (28% improvement), Spark resource tuning (18% cost reduction), and streaming ingestion reducing latency by 45%.
• Master of Science in Computer Science with hands-on experience in REST API development (FastAPI), containerization (Docker, Kubernetes), and modular data contracts using dbt, enabling robust, scalable data engineering solutions.

• 9+ years of experience in full-stack roles with JS and TypeScript (Node.js, NestJS, React, React Native).
• Israeli fintech, telecom, and gambling solutions, including high-performance systems handling 10,000+ daily transactions, integrating multiple payment providers, including banking APIs and cryptocurrency.
• Holds a Bachelor’s degree in Theoretical and Nuclear Physics, combining analytical rigor with advanced skills in AWS, Docker, GraphQL, SQL/NoSQL databases, and UI frameworks like Ant Design and MUI.
• Background in software engineering principles, OOP & functional programming, and modern SDLC practices, including Agile, CI/CD, and test automation with Cypress and Jest.

Backend Engineer, 8+ years of hands-on experience architecting production-grade Python systems — primarily with FastAPI, microservices, and cloud-native infrastructure. Specializes in building reliable APIs (REST + GraphQL via AWS AppSync), high-performance data layers, real-time features (WebSocket), and secure, observable platforms that power AI-driven SaaS, FinTech/loan management, personalized education, and meditation applications.

• Robust, versioned APIs with pagination, filtering, bulk operations, and real-time capabilities for enterprise standards.
• Security models using JWT, OAuth2, Cognito/Firebase Auth, and OWASP plus secrets management in AWS.
• PostgreSQL/SQLAlchemy setups with strict validation, indexing, query tuning, migrations (Alembic), and entity versioning (Continuum).
• Integrations & background jobs (Celery/AWS Lambda), idempotent processing, retries, and Stripe/Telegram/webhook handling.
• End-to-end CI/CD with GitHub Actions, Docker, Kubernetes, ECS, ArgoCD for zero-downtime rollouts and automated testing.
• Full observability stacks (Prometheus + Grafana, CloudWatch) with alerts, dashboards, and runbooks for proactive monitoring.
• Comprehensive operational documentation, team training, and code reviews as a Team Lead managing up to 8 engineers.

Optimized high-load endpoints, reduced latency through caching/profiling, enforced business rules at the DB level, and led refactorings and migrations. Passionate about clean architecture, maintainability, and turning complex business needs into elegant, scalable solutions.

Senior DevOps / SRE Engineer with 6+ years of hands-on AWS and GCP (including GKE and EKS):

• Strong production operations background with backend stacks (PHP, Node.js, Java, .NET), messaging queues (ArtemisMQ), relational/NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis), and full SRE practices.
• Previously led a 7-engineer DevOps team, mentored engineers, and drove infrastructure modernization with a focus on reliability, velocity, and operational excellence.
• Specialized in Kubernetes container orchestration, Terraform Infrastructure as Code, advanced CI/CD pipelines (GitLab CI, Jenkins, Bamboo, Bitbucket CI, Azure DevOps), and comprehensive observability stacks (Prometheus, Grafana, Loki, ELK, Zabbix, New Relic, CloudWatch) to enable proactive monitoring, alerting, and incident resolution.

Delivered measurable impact:

• Successful legacy-to-Kubernetes migrations, high-availability architectures with load balancing (HAProxy, Nginx),
• cost/performance optimizations, 60% reduction in deployment times
• Hybrid/multi-cloud integrations (AWS + GCP + VMware/Hyper-V) across fintech, banking, e-commerce, and high-traffic environments.

• 5+ years of expertise in React Native development, specializing in cross-platform UI architecture, Redux state management, and native module integration.
• Proven leadership in managing complex projects, including award-winning apps, with strong skills in asynchronous workflows using Redux Saga and real-time data sync via Firestore.
• Skilled in integrating payment systems (Stripe, PayPal, RazorPay), location services, push notifications, and offline data persistence using SQLite, Realm, and AsyncStorage.
• Experienced in building user-centric solutions for diverse domains such as crisis communication, legal reference, and sports coaching, leveraging Context API, full-text search, and analytics dashboards.
• Holds a Bachelor in Computer Engineering, proficient in JavaScript, TypeScript, and modern development tools (VS Code, Android Studio, XCode) across MacOS, Windows, and Linux environments.

• Over 5 years of experience architecting and deploying scalable cloud-native applications across AWS, Azure, and GCP, managing 50+ AWS projects with 35% cost reduction through resource optimization.
• Expertise in infrastructure automation using Terraform, Ansible, and CI/CD pipelines with Jenkins, GitLab, and GitHub Actions, achieving 60% deployment time reduction.
• Advanced containerization and orchestration skills with Docker, Kubernetes, ECS, and Fargate, delivering 90%+ uptime in microservices architectures.
• Proficient in scripting (Shell, Bash, Python), database management (MySQL, PostgreSQL, MongoDB), and monitoring tools (CloudWatch, CloudTrail) for robust system observability.
• AWS Certified Solution Architect with proven success in designing secure, cost-effective distributed systems and real-time data processing platforms for IoT and telemetry applications.

• Full-stack engineer with 6+ years of expertise in TypeScript, React, React Native, Node.js, and .NET Core, delivering scalable B2B and healthcare applications with 40% latency reduction through query optimization.
• Proficient in integrating analytics SDKs (Mixpanel, Firebase, AdMob) and implementing secure JWT authentication and role-based access control in cross-platform mobile apps.
• Experienced in CI/CD pipelines using GitLab CI/CD, automated testing (Jest, Cypress), and cloud deployments on AWS and Docker, enabling rapid iterative releases and A/B testing.
• Strong background in SQL databases (PostgreSQL, MySQL, SQL Server) with advanced query optimization for analytics-driven growth metrics.
• Holds an MSc in Computer Science and IT, skilled in modular architecture, feature flags, and AI-augmented development to accelerate coding and improve UX flows.

• Full-stack JavaScript developer with 3+ years of experience specializing in Angular (v2+), NestJS, and TypeScript for scalable, high-performance web applications.
• Proficient in integrating REST and GraphQL APIs, implementing OAuth, SMS OTP, and magic link authentication workflows using Supabase and JWT.
• Skilled in advanced state management with NgRx, reactive forms with RxJS, and custom UI development using Angular Material, PrimeNG, Taiga UI, and Tailwind CSS.
• Experienced in low-code platforms (Appian), CI/CD pipelines, automated testing, and performance optimization leveraging Google Lighthouse and Core Web Vitals.
• Strong background in data normalization, modular architecture, microservices, and secure coding practices including RBAC, bcrypt encryption, and audit trails.

• Full Stack Engineer with 6+ years of experience architecting scalable web applications and microservices using Node.js (Express) and Laravel, delivering production-grade solutions for UK startups.
• Expertise in AI-powered automation workflows (n8n, LLM APIs, MCP) and event-driven backends, achieving 50% reduction in document processing time and enhanced cross-team visibility.
• Proficient in Python scripting for automation, and skilled in databases including MySQL, PostgreSQL, MongoDB, and Neo4j, with hands-on AWS and Docker deployment experience.
• Strong advocate of TDD, Clean Architecture, OOP design patterns, and modular monoliths, improving code reliability by 60% and system maintainability.
• Holds a Master’s degree in Software Engineering and fluent in Arabic, French, and English, with proven leadership in remote, distributed agile teams.

I am a Senior Full Stack Developer with over 10 years of extensive and deep experience  designing, developing, and deploying high-performance web applications and enterprise-level platforms. My expertise spans the entire technology stack, allowing me to deliver robust, scalable, and maintainable solutions from concept to production.

• Full-Stack Engineer with 10 years of experience building and scaling web and SaaS products across fintech, edtech, martech, crypto, energy, and AI-driven domains.
• Skilled in JavaScript, TypeScript, and Python, with hands-on experience in frontend development using React, Next.js, and Vue.js, and backend development with Node.js, NestJS, Express, and Python-based frameworks.
• Designed and implemented system architectures for complex platforms, including distributed systems, microservices, real-time applications, and API-driven products with PostgreSQL, MongoDB, Redis, ClickHouse, and Elasticsearch.
• Led full-cycle development of high-load platforms such as crypto trading systems, communication automation tools, educational video platforms, and SaaS products, from requirements and architecture to production launch and scaling.
• Integrated AI and machine learning components into production systems using OpenAI APIs, LangChain, FAISS, PyTorch, and other AI tooling for personalization, automation, and content generation.
• Built and maintained infrastructure using Docker, Kubernetes, Terraform, and CI/CD pipelines, working extensively with AWS and Google Cloud environments.
• Experienced in technical leadership, including frontend architecture ownership, mentoring engineers, hiring, and organizing engineering teams across multiple projects.

Experienced CRM Developer with over 4 years of hands-on experience in designing, developing, and maintaining enterprise-grade Microsoft Dynamics 365 and Power Platform solutions. Skilled in building and customizing CRM systems, Power Apps, automation workflows, and integration layers to support business process optimization across various industries, including financial services, real estate, healthcare, and manufacturing.

Expertise in C#, .NET Core, ASP.NET MVC, Power Apps, Power Automate, and Dataverse, with proven experience developing custom plugins, integrations, and REST APIs for Dynamics 365. Extensive background in Azure DevOps for CI/CD automation, Azure App Services for cloud hosting, and Azure SQL Database for scalable data management.

Key achievements include:

• Developed custom C# plugins and Power Automate workflows extending Dynamics 365 functionality
• Built enterprise CRM platform with Azure App Services and microservices architecture
• Delivered Power Portal with integrated Power BI analytics for tracking ultrasound machine usage
• Implemented automated notification system using Power Automate reducing manual follow-up
• Implemented SonarCloud quality gates and Azure DevOps CI/CD pipelines
• Achieved GDPR compliance and data security standards for financial services