Software Engineer

Led backend and platform engineering for a global SaaS marketing automation platform used by thousands of businesses. Focused on building distributed microservices, secure APIs, and real-time event pipelines. Architected microservices with Python (Django, FastAPI) and Java (Spring Boot), scaling the platform for thousands of global users. Delivered secure REST/GraphQL APIs with OAuth2 and JWT, enabling integrations for contact management and reporting. Orchestrated event-driven workflows with Kafka and gRPC, enabling multi-step campaign automation and real-time triggers. Implemented high-throughput messaging pipelines in Python to power email campaigns, sustaining 99.9% uptime and supporting millions of daily communications. Revamped the customer communication platform with a modern frontend stack (React, Next.js, Zustand, Redux, React Query), improving performance and boosting adoption to thousands of active users. Optimized PostgreSQL and Redis, cutting query latency by 30% and improving reporting performance. Directed CI/CD pipelines with GitHub Actions, Docker, Kubernetes and Terraform on AWS/GCP, reducing release cycles. Mentored junior engineers and improved delivery speed by introducing Agile best practices.

Core engineer for a SaaS booking platform that enabled freelancers and businesses to monetize services online. Owned backend scheduling, payments, and multi-tenant architecture. Designed scheduling engine in Python (Django) integrated with Google Calendar and Microsoft Teams, preventing double bookings. Implemented secure payment workflows in Java (Spring Boot) with escrow and commission models, reducing transaction errors by 20%. Delivered real-time booking confirmations with Express.js and NestJS and async workflows, improving customer satisfaction. Integrated RabbitMQ and Celery into the booking system to orchestrate async tasks, improving reliability of confirmations and scaling performance during high traffic. Streamlined DynamoDB schemas and integrated pipelines into Snowflake, reducing query latency by 30% and accelerating analytics reporting. Increased test automation coverage to 85%+ with Pytest and Jest, lowering production issues. Collaborated with DevOps teams to deploy services on Azure Kubernetes Service (AKS) using Docker, ensuring scalability and high availability.

Contributed to enterprise web modernization projects for Fortune 500 clients. Focused on frontend modernization and secure backend API development. Built and maintained analytics dashboards and scalable interfaces using Angular, TypeScript, and RxJS, reducing page load times and increasing user engagement. Developed REST APIs with Python (Django), implementing secure authentication and WebSocket-based real-time communication. Optimized MySQL queries with indexing and normalization, cutting response times by 15%. Introduced RabbitMQ for async job processing, improving throughput and reliability under heavy load. Containerized deployments with Docker and GitLab CI, accelerating release cycles and reducing downtime.