Abhiroop Mukherjee
Application Software Engineer 2 @Oracle NetSuite
Hyderabad
abhiroop.m25902@gmail.com
I’m a software engineer at Oracle NetSuite in Hyderabad, where I build manufacturing software and am currently leading the development of the Production Control Board. Outside work, I enjoy building AI applications and exploring how AI agents remember information and work together. I’m an IIEST Shibpur graduate and former GDSC Flutter facilitator. Outside of coding, I’m often playing PC games and occasionally streaming my gameplay on YouTube. Here to meet fellow developers, exchange ideas, and learn what others are building!
Application Software Engineer 2
Oracle India Private Limited
- Currently leading development of Production Control Board using Java, JAX-RS, Guice, and UIF.
- Took the feature from proof of concept to production, making work order monitoring, component shortage visibility, and production KPIs available to 7,000+ manufacturing businesses.
- Guided three junior developers and authored an internal development guide.
Software Developer
Oracle India Private Limited
- Contributed to migrating four nonprofit bundles to SuiteApps, upgrading SuiteScript and introducing SuiteQL data fetching; reduced large-dataset fetch latency by 20% for a suite serving 1,400+ organizations.
- Implemented pagination for Grant Management, reducing loading for 10,000+ records from over one minute to approximately two seconds.
- Built Benchmark 360 KPI configuration and automated test data setup, raising the CI pass rate from 68.5% to 91.22%.
Project Intern
Oracle India Private Limited
- Developed ERP features for the Transaction Line Distribution SuiteApp, deployed across approximately 500 customer accounts serving 600,000+ users.
Recall: Persistent Memory for AI Agents
Built a persistent project memory service for AI agents exposing four MCP tools and semantic retrieval. Deployed on Cloud Run with bearer authentication backed by Secret Manager and automated tests required before deployment.
Mindful Bites: AI Mental Health & Nutrition Tracker
Built a meal-photo analysis application using parallel AI agents to estimate macronutrients and generate model-based well-being insights. An asynchronous backend uses Pub/Sub and Firestore transactions to prevent duplicate concurrent processing.
Sentinel: Real-Time Monitoring Dashboard
Built a real-time monitoring dashboard that rendered 10,000 simulated login events in 30-second stress-test runs without blocking the UI thread. Used virtual threads and a decoupled Pub/Sub ingestion pipeline with rate limiting and controls to prevent overlapping test runs.
B.Tech in Computer Science and Technology
Indian Institute of Engineering Science and Technology, Shibpur · 9.64/10.0 CGPA
Attendee · Oct 24, 2026