Building scalable APIs, enterprise integrations & cloud solutions π
I'm an Integration Engineer at Capgemini with a strong focus on MuleSoft, API-led connectivity, Cloud, and DevOps.
I specialize in designing and delivering scalable, secure, and high-performance enterprise integrations connecting platforms such as Salesforce, Microsoft Azure, databases, Risk Management Systems, and third-party applications.
π― Currently focused on:
π Enterprise API & Integration Architecture
β‘ MuleSoft & API-led Connectivity
βοΈ Microsoft Azure & Cloud Technologies
βοΈ DevOps, CI/CD & Automation
π³ Docker & Kubernetes
π API Security, Monitoring & Reliability
π’ What I Do Enterprise Integration β MuleSoft APIs β DataWeave Transformations β Salesforce / Azure / Databases / Enterprise Systems β CI/CD β CloudHub β Production
I work across the complete integration lifecycle:
Design β Development β Testing β Deployment β Monitoring β Optimization
π οΈ Tech Stack π Integration & APIs
βοΈ Cloud βοΈ DevOps π» Programming & Databases πΌ Professional Journey π CapgeminiSenior Analyst β Integration Engineering Apr 2026 β Present | Gurugram, India
Previously:
Analyst β Integration Engineering Sep 2024 β Mar 2026 | Mumbai, India
Impact
π Delivered 20+ large-scale enterprise integrations
π Built API-led connectivity solutions
β‘ Reduced integration turnaround time by 30%+
π Improved data processing efficiency by approximately 25%
βοΈ Managed CloudHub deployments and API lifecycles
π Improved release velocity by approximately 40%
π‘οΈ Designed error handling and observability solutions
π Reduced production incidents by up to 40%
π Integrated Salesforce, Azure, databases & enterprise systems
π Certifications
Real-Time Wellness & Yoga Monitoring System
An AI-powered wellness platform designed to provide real-time feedback on yoga postures and wellness metrics.
Features
π§ Real-time yoga pose detection
π€ AI-based posture analysis
π BMI calculation
π₯ Calorie tracking
π± Android application
π Web application
π Second Runner-Up β Engineering & Technology Category Innotek: Innovation & Graduating Project Expo | Lovely Professional University
π Research & Publication π§ Real-Time Pose Correction and Wellness Tracking System
Published in November 2024
A computer-vision-based system providing real-time yoga pose feedback and correction using webcam input.
Technologies
PoseNet KNN Deep Learning Computer Vision Real-Time Processing
π» Coding Journey
I enjoy solving algorithmic problems and continuously improving my problem-solving skills.
π Highlightsπ» 750+ coding problems solved during the LeetCode 100 Days journey
π₯ 95-day GitHub contribution streak
π 1000+ GitHub contributions
π§ Completed LeetCode 75
π HackerRank Software Engineer Role Certification
π Active programming community contributor
π GitHub Activity
π EducationBachelor of Technology β Computer Science & Engineering Lovely Professional University 2020 β 2024 Β· CGPA: 8.31/10
π± Currently Exploring Integration:
- Advanced MuleSoft
- API-led Connectivity
- Integration Architecture
- API Security
Cloud:
- Microsoft Azure
- AWS
- Cloud-native architectures
DevOps:
- CI/CD
- Docker
- Kubernetes
- Automation
Future:
- AI + Enterprise Integration
- Cloud Architecture
- Distributed Systems
π€ Let's Connect
I'm always interested in connecting with people working on:
MuleSoft β’ Salesforce β’ APIs β’ Cloud β’ DevOps β’ Integration β’ Automation β’ AI
Thanks for visiting my profile! π


