Upstaff Developer Profile Directory

• Full Stack Developer with hands-on expertise in MERN stack, FastAPI, and scalable backend API design, delivering 10+ real-time APIs and integrating AI-driven Gemini and OpenAI APIs.
• Proficient in React, Redux, Tailwind CSS, Node.js, Express.js, PostgreSQL, MongoDB, and Docker, optimizing UI performance by 25% and managing complex database operations.
• Experienced in Stripe payment integration, Docker containerization, CI/CD pipelines, and cloud deployment, ensuring secure, maintainable, and production-ready software.
• Strong foundation in Computer Science with a Bachelor of Engineering degree, applying best practices in software development lifecycle, data security, and agile methodologies.
• Demonstrated success in building intelligent features like LLM-based document summarization and dynamic presentation generation, enhancing product capabilities and user experience.

• Over 5 years of experience in full-stack development and technical leadership, specializing in backend API design and financial infrastructure integration.
• Proficient in Python, Flask, SQLAlchemy, JavaScript frameworks (React Native, Vue.js), Kotlin, and multiple SQL databases, with strong expertise in REST & SOAP API development and testing (pytest).
• Led fastest Mastercard integration in Latin America, architected systems for virtual/physical card issuance, antifraud, referrals, and P2P/external wire transfers.
• Experienced in cloud deployment (AWS, Heroku), server management (nginx, IIS), and CI/CD practices using Git, enhancing system reliability and automation.
• Academic background in Mechatronics Engineering and Data Science & AI, awarded for academic excellence, combining engineering principles with software development best practices.

• Over 5 years of experience in full-stack development and technical leadership, specializing in backend API design and financial infrastructure integration.
• Proficient in Python, Flask, SQLAlchemy, JavaScript frameworks (React Native, Vue.js), Kotlin, and multiple SQL databases, with strong expertise in REST & SOAP API development and testing (pytest).
• Led the fastest Mastercard integration in Latin America, architected systems for virtual/physical card issuance, antifraud, referrals, and P2P/external wire transfers.
• Skilled in cloud platforms (AWS, Heroku), server management (nginx, IIS), and version control (Git), with experience building scalable, secure financial and educational web applications.
• Holds a Mechatronics Engineering degree and completed advanced coursework in Data Science and AI, awarded for academic excellence, demonstrating strong analytical and problem-solving capabilities.

• Back-end developer with 7 years of experience specializing in Python frameworks including Django, FastAPI, and Reflex, delivering scalable web applications and AI-driven SaaS platforms.
• Proficient in designing and maintaining complex backend architectures using PostgreSQL (pgvector), Redis, Kafka, and AWS cloud services (Lambda, ECS, S3, Cognito), ensuring high performance and reliability.
• Led development of AI-powered lead intelligence and IoT-integrated fleet electrification systems, implementing advanced workflows with OpenAI API, GraphQL, and asynchronous task management.
• Skilled in full SDLC: architecture design, database schema optimization, API development, testing (pytest, Selenium), CI/CD, and cloud infrastructure management with Terraform and Docker.
• Holds Bachelor’s and Master’s degrees in Computer Science, with strong expertise in software engineering principles, multi-tenant SaaS systems, and integration of third-party APIs for enterprise solutions.

• 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.