Work Experience

Professional journey building enterprise-grade applications and AI/ML solutions

Associate Developer

SAP Labs India, Bengaluru

July 2025 – Present

Cloud-Native E2E Test Orchestration Platform

Designed and built a cloud-native E2E test orchestration platform using SAP CAP, Spring Boot, and React, deployed as a multi-tenant SaaS application on SAP BTP.

  • •Designed and built a cloud-native E2E test orchestration platform using SAP CAP, Spring Boot, and React, executing 600+ automated tests across 5 SAP HANA clusters; deployed as a multi-tenant SaaS application on SAP BTP with secure authentication and audit logging.
  • •Implemented application-level locking and pooled DB isolation to prevent shared-state conflicts across 200+ concurrent test executions; reduced false failures by 30% and cycle time by 50%.
  • •Built a dynamic dependency resolution engine with real-time health validation and batch execution, reliably processing 600+ interdependent test cases per request and supporting hundreds of test plan executions across 5 teams.
  • •Integrated an asynchronous GenAI-based failure classification service achieving 85% automated root-cause tagging accuracy on historical failure dataset, reducing manual triage effort by 60%.

Key Technologies

SAP CAPNode.jsJava (Spring Boot)SAP HANAOData v4ReactXSUAACloud Foundry

Impact & Results

  • ✓ Executed 600+ automated tests across 5 SAP HANA clusters
  • ✓ Reduced false failures by 30% and cycle time by 50%
  • ✓ Achieved 85% accuracy in GenAI-driven failure classification
  • ✓ Reduced manual triage effort by 60%
  • ✓ Supported 200+ concurrent test executions

SDE Intern

SAP Labs India, Bengaluru

May 2024 – July 2024

Deepfake Detection Pipeline

Developed a deepfake detection pipeline using EfficientNet-B4 with production-ready inference performance.

  • •Developed a deepfake detection pipeline using EfficientNet-B4 trained on 140k+ labeled samples, achieving 98% validation accuracy and production-ready inference performance.
  • •Built a Flask-based inference service supporting 300+ concurrent requests with real-time image and video processing via OpenCV and WebRTC; optimized 1080p stream inference to 18 FPS through batching and preprocessing improvements.

Key Technologies

PythonTensorFlowFlaskOpenCVWebRTCReact

Impact & Results

  • ✓ Achieved 98% validation accuracy in deepfake detection
  • ✓ Trained models on 140k+ diverse labeled samples
  • ✓ Processed 1080p video feeds at 18 FPS in real-time
  • ✓ Handled 300+ concurrent media analysis requests

Career Highlights

1

Enterprise-Scale Development

Built production systems serving hundreds of concurrent users with high reliability

2

AI/ML Integration

Implemented GenAI and CNN models achieving 85-98% accuracy in production environments

3

Cloud Architecture

Designed and deployed multi-tenant cloud-native frameworks on SAP BTP with Cloud Foundry

4

Full Stack Excellence

End-to-end development from React frontends to CAP/Spring Boot backends with OData services