---
title: "Gourab Nanda - Member Technical Staff-1 in Bengaluru | Tal"
description: "Meet Gourab Nanda, Software Engineer at Oracle | Building AI-powered Data Pipelines | Java • Javascript • Python • AI/ML based in Bengaluru. AI stack includes claude code, claude, and codex. Explore public work links including github."
image: "https://tal.club/meet/gourab-nanda-1/share-image"
---

# Gourab Nanda on Tal

## Headline

Software Engineer at Oracle \| Building AI\-powered Data Pipelines \| Java • Javascript • Python • AI/ML

## About

Software Engineer at Oracle building enterprise AI Copilot and data analytics platforms for 400\+ global customers\. Core contributor to Oracle's AI Copilot — architected backend orchestration across a 539\+ Java\-file service integrating WebSocket chat, agentic routing across 15 agent config groups, and macro\-driven execution connecting 31 Flowable BPMN workflows\. Optimized analytics pipelines reducing response latency from 100s to 20s \(80% improvement\)\. Building production ML systems on the side — fine\-tuned DistilBERT achieving 92\.65% accuracy on 50K reviews, built a RAG pipeline processing 10,000\+ document chunks with 3\-layer caching using Qdrant and Prometheus observability, and an end\-to\-end churn prediction pipeline \(XGBoost, LightGBM, PyTorch\) with SHAP explainability\. Core Stack: Backend: Java, Spring Boot, REST APIs, WebSocket, Flowable BPMN, FastAPI ML/AI: Python, PyTorch, HuggingFace Transformers, Scikit\-learn, LangChain, SHAP, Qdrant Frontend: ReactJS, TypeScript, Oracle JET Infra: Docker, Prometheus, MLflow, CI/CD Passionate about scalable systems, automation, and applying ML to real\-world problems\. Active in competitive programming, hackathons, and open\-source contributions\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

hermes agent

hugging face

## Work experience

Member Technical Staff\-1 at Oracle, Jul 2024 \- Present · 2 yrs 2 mos, Bengaluru, Karnataka, India, Full\-stack AI engineer on the Data Configuration team within FDI Pipeline division, building enterprise data warehouse solutions serving 400\+ global customers\. Key Contributions: Backend &amp; Data Engineering: Architected the core backend orchestration layer for Oracle's AI Copilot platform, a natural\-language driven development assistant\. Built WebSocket\-based messaging infrastructure coordinating agentic routing, domain\-specific \(DS\) confirmation workflows, and multi\-layer state persistence enabling resumable journeys across connection drops and long\-running operations\. Designed and implemented macro\-driven workflow execution architecture integrating 31 Flowable BPMN process definitions with 49 macro/rule configuration files\. This config\-driven approach enabled business logic extension through macro groups instead of hardcoded Java paths, accelerating new feature development\. Implemented hierarchical folder management system with complex parent\-child relationships, supporting rename, delete, and cascading operations Frontend Development: Enhanced ReactJS and Oracle JET interfaces improving user workflow efficiency Built custom code editor with folder navigation, search, and real\-time validation System Performance &amp; Security: Identified and resolved critical performance bottlenecks reducing query execution time by 50% Implemented comprehensive testing strategies \(unit, integration, E2E\) improving code quality and reducing production bugs Collaboration &amp; Mentorship: Mentored junior developers on debugging methodologies, testing best practices, and enterprise system design Collaborated with cross\-functional teams across US, India, and Europe time zones Led root cause analysis sessions resolving critical production incidents Tech Stack: Java, Spring Boot, JavaScript, ReactJS, Oracle JET, SQL, MCP, Data Pipelines, Git Impact: Delivered enterprise\-grade features enhancing data processing, reporting capabilities, and UI experience for Fortune 500 clients

Server Technology Intern at Oracle, May 2023 \- Jul 2023 · 3 mos, Remote, Enhanced multi\-parameter search in a Cloud Account Administration tool using ReactJS/TypeScript, adding 3\+ filtering parameters enabling efficient filtering across 1000\+ account records\. Implemented comprehensive test coverage using JUnit and Jest, improving query performance, user experience, and component reliability across ReactJS/TypeScript codebase\.

## Education

Bachelor of Technology \- BTech, Computer Science Engineering, National Institute of Technology Rourkela

Student, 10\+2, Mother's Public School

## Public links

- github: https://github\.com/Gourab\-18

[View the original profile](https://tal.club/meet/gourab-nanda-1)

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