Senior Full Stack Developer with 6+ years of experience designing, developing, and deploying scalable web applications across frontend and backend environments. Strong expertise in React, JavaScript, Node.js, Python, RES…
Senior Full Stack Developer with 6+ years of experience designing, developing, and deploying scalable web applications across frontend and backend environments. Strong expertise in React, JavaScript, Node.js, Python, REST APIs, SQL, cloud platforms, and system architecture. Proven success delivering remote projects across distributed teams, collaborating with stakeholders, and translating business requirements into production-ready solutions. Experience in fintech systems, data-driven platforms, secure application design, and high-performance backend services. Adept at working independently, managing multiple priorities, and delivering maintainable code in fast-paced contract environments.
Designed and built AI-powered full-stack applications (React, Node.js, Python/FastAPI) supporting internal knowledge platforms and automation tools used by 1,000+ users., Developed microservices and RESTful APIs enabling real-time document search, reporting, and workflow automation across distributed systems., Built a production RAG system (OpenAI, Azure OpenAI, Pinecone) including document ingestion, chunking, embedding pipelines, and semantic retrieval., Implemented agentic workflows using LangChain and CrewAI, enabling multi-step reasoning, tool calling, and dynamic task execution., Automated internal processes using n8n workflows, integrating APIs, databases, and AI services for event-driven automation., Deployed applications on AWS and Azure using Docker and CI/CD (GitHub Actions), ensuring scalability, reliability, and high availability., Optimized backend performance through prompt engineering, caching, and API tuning, reducing latency and operational cost.
Designed and built AI-powered full-stack applications (React, Node.js, Python/FastAPI) supporting internal knowledge platforms and automation tools used by 1,000+ users.
Developed microservices and RESTful APIs enabling real-time document search, reporting, and workflow automation across distributed systems.
Built a production RAG system (OpenAI, Azure OpenAI, Pinecone) including document ingestion, chunking, embedding pipelines, and semantic retrieval.
Implemented agentic workflows using LangChain and CrewAI, enabling multi-step reasoning, tool calling, and dynamic task execution.
Automated internal processes using n8n workflows, integrating APIs, databases, and AI services for event-driven automation.
Deployed applications on AWS and Azure using Docker and CI/CD (GitHub Actions), ensuring scalability, reliability, and high availability.
Optimized backend performance through prompt engineering, caching, and API tuning, reducing latency and operational cost.
Built full-stack web applications (React, Node.js, TypeScript) for customer rewards platforms and analytics dashboards.
Developed RESTful APIs and microservices for real-time transaction processing and reporting systems.
Engineered a high-performance rewards calculation engine (Node.js, SQL Server) handling large-scale transactional data across 80+ categories.
Migrated legacy enterprise systems to modern microservices architecture, improving performance by 15%.
Integrated backend systems with SQL Server and cloud services (GCP/Azure) to support scalable enterprise applications.
Built full-stack web applications (React, Node.js, TypeScript) for customer rewards platforms and analytics dashboards., Developed RESTful APIs and microservices for real-time transaction processing and reporting systems., Engineered a high-performance rewards calculation engine (Node.js, SQL Server) handling large-scale transactional data across 80+ categories., Migrated legacy enterprise systems to modern microservices architecture, improving performance by 15%., Integrated backend systems with SQL Server and cloud services (GCP/Azure) to support scalable enterprise applications.
Built AI/ML pipelines (Python, BigQuery, Vertex AI) processing 1TB+ of data for training and inference workflows.
Developed and deployed ML-powered backend services supporting real-time predictions and analytics.
Designed data pipelines and feature engineering workflows to improve model accuracy and consistency.
Containerized and deployed systems using Docker and GCP, supporting scalable production workloads.
Improved model performance by 30% through iterative tuning and evaluation.
Built AI/ML pipelines (Python, BigQuery, Vertex AI) processing 1TB+ of data for training and inference workflows., Developed and deployed ML-powered backend services supporting real-time predictions and analytics., Designed data pipelines and feature engineering workflows to improve model accuracy and consistency., Containerized and deployed systems using Docker and GCP, supporting scalable production workloads., Improved model performance by 30% through iterative tuning and evaluation.
Developed full-stack applications (React, Node.js, SQL Server) for enterprise data and reporting systems.
Built API-driven backend services handling transactional and analytical workflows.
Designed a rules-based processing engine for complex business logic across large datasets.
Migrated legacy systems (IBM Lotus Notes → SQL Server), improving performance and maintainability.
Developed full-stack applications (React, Node.js, SQL Server) for enterprise data and reporting systems., Built API-driven backend services handling transactional and analytical workflows., Designed a rules-based processing engine for complex business logic across large datasets., Migrated legacy systems (IBM Lotus Notes → SQL Server), improving performance and maintainability.
Built Python automation tools supporting finance operations, account processing workflows, and enterprise reporting task.
Developed a cryptocurrency portfolio tracking application with Flask APIs, MySQL database, and mobile frontend integration.
Reduced manual processing time by 80% through automated business workflows.
Improved code quality and maintainability using reusable backend architecture.
Built Python automation tools supporting finance operations, account processing workflows, and enterprise reporting task., Developed a cryptocurrency portfolio tracking application with Flask APIs, MySQL database, and mobile frontend integration., Reduced manual processing time by 80% through automated business workflows., Improved code quality and maintainability using reusable backend architecture.
Supported the backend team in developing and maintaining internal services using Python and Node.js.
Assisted in building RESTful API endpoints for account management and transaction-related feature.
Wrote SQL queries and worked with relational databases to support data retrieval, reporting, and basic performance improvements.
Contributed to bug fixes and small feature enhancements within existing backend services under senior developer guidance.
Supported the backend team in developing and maintaining internal services using Python and Node.js., Assisted in building RESTful API endpoints for account management and transaction-related feature., Wrote SQL queries and worked with relational databases to support data retrieval, reporting, and basic performance improvements., Contributed to bug fixes and small feature enhancements within existing backend services under senior developer guidance.
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