Work Experience
Software Engineer
Salesforce
Nov 2024 - Aug 2025
India
- ▹Built Python and FastAPI microservices that processed CRM account and activity data for downstream sales analytics, handling 490K+ REST API requests daily in production
- ▹Improved API response time from ~450ms to ~290ms on high-traffic endpoints through SQL query optimization, database indexing, and Redis caching
- ▹Developed Kafka consumers that transformed account activity events into feature pipelines for sales prediction models, cutting data lag in downstream reporting by 40%
- ▹Collaborated with the data science team to productionize a lead-scoring ML model, serving predictions through containerized FastAPI endpoints consumed by 3 internal teams
- ▹Added Pytest unit and integration test suites plus service health checks to the GitHub Actions CI/CD pipeline, reducing post-release defects by 25%
Software Developer Intern
Salesforce
May 2024 - Oct 2024
India
- ▹Implemented REST API endpoints in Python for internal CRM tooling, following existing microservice patterns, code review standards, and Git branching workflows
- ▹Built Pandas data preprocessing scripts to clean, validate, and transform account datasets used for machine learning model training
- ▹Fixed 15+ backend defects across sprint cycles and added unit tests to previously untested service methods, improving code coverage
Projects
Microservices-based HR Management System handling employee records, payroll, and attendance, built with 6 services using Spring Cloud (Eureka, API Gateway) and a database-per-service pattern. Secured with JWT authentication and role-based access control (RBAC) across 4 user roles, with Razorpay payment gateway integration automating salary disbursement.
Key Highlights:
- •6 microservices with Spring Cloud (Eureka, API Gateway) and database-per-service pattern
- •JWT authentication with RBAC across 4 roles, from employee to HR admin
- •Razorpay salary disbursement, processing 200+ test transactions end-to-end
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 Python code
- •Reduced model setup from hours of manual coding to a few minutes
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
Frontend
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 Science in Computer Science
Specialization in AI/ML
Graduated May 2025
GPA: 3.44/4.0
Gujarat, India
Relevant Courses: Object Oriented Programming, Data Structures, Databases, Software Engineering