Work Experience
Software Engineer
Salesforce
May 2024 - Jun 2025
India
- ▹Engineered Python- and Node.js-based microservices processing 2M+ customer records daily, ensuring high availability and scalability
- ▹Integrated predictive ML models into backend workflows, improving deal prioritization accuracy and increasing closure rates by 20%+
- ▹Refactored and optimized lead generation APIs serving high-volume sales workflows, reducing response times by 35%
- ▹Redesigned the Kanban view renderer using Lightning Web Components (LWC) and React, improving drag-and-drop interactions and rendering performance
- ▹Analyzed continuous data delivery workflows feeding customer churn prediction systems, cutting pipeline latency by 200ms and improving customer retention by an estimated 10%
- ▹Automated CI/CD testing workflows, cutting post-release defects by 30% and accelerating deployment cycles
- ▹Partnered with cross-functional teams to design AI-powered analytics APIs, delivering actionable insights at scale
Projects
Enterprise-grade HR Management System built with 14+ microservices using Spring Cloud (Eureka, API Gateway) for employee management, payroll, and attendance tracking. Features JWT-based authentication with role-based access control (RBAC) and Razorpay payment gateway integration using database-per-service pattern.
Key Highlights:
- •14+ microservices with Spring Cloud (Eureka, API Gateway)
- •JWT-based auth with RBAC for user hierarchies
- •Razorpay salary disbursement with database-per-service pattern
End-to-end IoT environmental monitoring platform with a serverless pipeline on AWS using Lambda, S3, and DynamoDB to process 50,000+ daily sensor readings. Includes a Flutter app with real-time dashboards and PyTorch models deployed on AWS SageMaker for inference.
Key Highlights:
- •Serverless pipeline processing 50,000+ daily sensor readings
- •Flutter app with real-time dashboards and historical trend visualization
- •PyTorch models trained on 50,000+ data points deployed on SageMaker
No-code ML training platform for non-technical users to train neural networks through a visual workflow builder. Features a backend API for model persistence, checkpointing, and export to deployment-ready code.
Key Highlights:
- •Visual workflow builder for no-code neural network training
- •Backend API for model persistence and checkpointing
- •Export trained models to deployment-ready code
Computer vision and IoT-based smart platform for public bus passenger management using AWS Rekognition for facial recognition and Google Maps API.
Key Highlights:
- •IEEE ICCE 2024 Publication
- •Live tracking system
- •Passenger management dashboard
Achievements & Recognition
SAP-GTU Code Unnati Innovation Marathon 2024
1st Place
500+ participants
NASSCOM's The Maverick Effect AI Challenge 2024
1st Place
National Level
Hackout 2023 - DAIICT
1st Place
DA-IICT Gandhinagar
Technical Skills
Languages
Backend
AI / ML
Cloud & DevOps
Databases
Testing & Observability
Education
Northeastern University
Master of Science in Computer Science
Sep 2025 - Present
GPA: 3.67/4.0
Khoury College of Computer Sciences, Boston, MA
Relevant Courses: Programming Design Paradigm, Algorithms, Web Development, Foundations of AI
Karnavati University
Bachelor of Technology in Computer Science Engineering
Specialization in AI/ML
Graduated May 2025
GPA: 3.44/4.0
Gujarat, India
Relevant Courses: Object Oriented Programming, Data Structures, Databases, Software Engineering