Anish Ghosh

Results-driven Software Engineer with 4+ years of experience in building scalable backend systems for cloud applications. Specializes in translating complex requirements into maintainable solutions while optimizing performance and ensuring system reliability. Excels in end-to-end feature ownership and cross-team collaboration to deliver critical business solutions.

• Implemented backend features including Report Scheduler, automated email notifications, and dynamic zone update logic.
• Improved API and backend processing performance by approximately 40–50% through query optimization, application-level refactoring, and streamlined execution flows.
• Reduced DynamoDB query latency by approximately 40–50% through query optimization and application logic improvements.
• Reduced recurring production issues by approximately 20–30% through root-cause analysis, targeted fixes, debugging, and reliability improvements.
• Integrated Capella Couchbase and contributed to backend API development and application maintenance.
• Resolved Bitbucket CI/CD issues by isolating environment-specific deployments.
• Mentored junior developers and collaborated with QA and DevOps teams.

• Redesigned database architecture to support multitenancy using schema-based separation in PostgreSQL.
• Updated application workflows and device-file logic to support multitenant requirements.
• Developed APIs and application logic aligned with System Design Documentation (SDD).
• Led architecture, development, maintenance, and production/QA debugging with root-cause analysis.

• Developed and optimized device monitoring, device command, and device health processing workflows.
• Designed and implemented cloud modules for Firmware Upgrade, Alarm Management, Logging, and Reporting.
• Developed APIs and application features based on SDD and contributed to system requirements and technical specifications.
• Owned architecture, development, maintenance, enhancements, QA scalability troubleshooting, production debugging, and code migration.

• Developed a brain-computer interface concept using a brainwave sensor headset to interpret blink count and alpha, beta, and gamma brainwave signals for selecting options on a display.
• Designed to support non-verbal communication for patients with limited physical or verbal ability, helping communicate requirements without conventional verbal or physical interaction.

• Applied an unsupervised learning approach to predict and retrieve suffix-word and suffix-prefix pair lists for developing an effective Marathi stemmer.

• Implemented an SDN-based approach for CDN management, using an SDN controller to reduce manual effort in network traffic and server management.

• English, Fluent
• Hindi, Fluent
• Bengali, Fluent
• Punjabi, Intermediate