Westford, Massachusetts, United States
👋 AI Writes. AI Corrects. Done.
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⚫ Designed and developed backend services for an AI-driven SAP automation platform, enabling intelligent handling of payroll processing, tax configurations, and HR workflows within legacy SAP ECC systems while ensuring accuracy, scalability, and seamless integration with enterprise data pipelines. ⚫ Built scalable RESTful APIs using Java (Spring Boot) and Python (FastAPI), supporting high-volume traffic (10K+ daily requests) with optimized response times, efficient error handling, and robust input validation across distributed services. ⚫ Engineered data ingestion pipelines to process structured and unstructured SAP artifacts, including payroll schemas and configuration rules, enabling reliable knowledge extraction and improving downstream AI decision-making capabilities. ⚫ Integrated vector-based semantic search using Qdrant, significantly improving configuration lookup performance and enabling near real-time context-aware responses for AI-assisted workflows. ⚫ Architected microservices-based backend systems with clearly defined service boundaries, improving modularity, simplifying deployments, and enabling independent scaling of critical components. ⚫ Deployed and managed cloud-native services on AWS (Lambda, API Gateway, Elastic Beanstalk) using Docker containers, ensuring high availability, fault tolerance, and efficient resource utilization. ⚫ Implemented centralized logging, monitoring, and alerting using AWS CloudWatch, improving system observability and enabling faster identification and resolution of production issues.
Architected and implemented Terraform-based infrastructure pipelines to automate provisioning of multiple parallel VM environments, significantly reducing manual setup effort and enabling faster, scalable testing of security products. ⚫ Developed high-performance backend services using Java and Spring Boot, leveraging multithreading and concurrent programming techniques to improve throughput, resource utilization, and overall system responsiveness. ⚫ Designed and deployed cloud-native microservices using AWS services such as Lambda, API Gateway, and S3, ensuring scalability, fault tolerance, and efficient handling of asynchronous workloads. ⚫ Developed reusable and modular frontend components using Angular and React, improving maintainability and accelerating feature delivery across multiple application modules. ⚫ Implemented CI/CD pipelines using GitHub Actions and GitLab CI, automating build, test, and deployment processes while reducing manual errors and improving release consistency. ⚫ Optimized backend logic and database queries to reduce API latency and improve overall system performance under high-load conditions.
⚫ Developed and deployed microservices-based applications across AWS and Azure environments, improving system scalability, fault tolerance, and maintainability for data-intensive processing workflows. ⚫ Designed and optimized relational database schemas and complex queries, significantly improving data retrieval efficiency and reducing execution time for high-volume operations. ⚫ Built and maintained CI/CD pipelines using GitHub Actions, enabling automated testing, integration, and deployment across multiple environments with improved reliability. ⚫ Implemented secure authentication and authorization mechanisms using JWT and OAuth2, strengthening application security and ensuring controlled access to system resources. ⚫ Contributed to cloud optimization initiatives by analyzing resource usage and improving infrastructure efficiency, resulting in reduced operational costs. ⚫ Integrated logging and monitoring solutions to enhance system observability, enabling faster debugging and improved production support. ⚫ Collaborated closely with QA, DevOps, and product teams to deliver high-quality, scalable features aligned with business requirements and timelines.
⚫ Engineered a scalable multi-tenant workflow platform supporting over 10K shipments per month and ~$48M in annual revenue, ensuring high availability, performance, and reliability across business-critical operations. ⚫ Designed and developed RESTful and GraphQL APIs using Spring Boot, JPA, and Hibernate, enabling modular backend architecture and efficient data processing across services. ⚫ Transitioned a monolithic system to a microservices-based architecture, improving scalability, fault isolation, and enabling independent deployment of services. ⚫ Implemented Infrastructure-as-Code using Terraform, enabling consistent, repeatable, and secure cloud environment provisioning across multiple environments. ⚫ Developed and maintained CI/CD pipelines using Docker, Kubernetes, and GitHub Actions, improving deployment efficiency and reducing release cycle times. ⚫ Integrated observability tools such as Prometheus, Grafana, and OpenTelemetry, enhancing system monitoring, performance tracking, and debugging capabilities. ⚫ Optimized database schemas and queries across PostgreSQL and Firebase, improving performance, reducing latency, and ensuring efficient data access patterns.