about
Software engineer with expertise in machine learning, cloud infrastructure, and full-stack development.
I thrive on transforming complex problems into elegant solutions, whether it's building user-focused applications, implementing ML pipelines, or architecting cloud infrastructure. My approach combines technical rigor with creative problem-solving to deliver impactful results that truly benefit users.
Specializations
experience
Current
Amazon
Jun - Aug '25
Mattel
Sep '24 - Jan '25
PwC
Jun - Aug '24
Conagra
Feb - May '24
CareerVillage
Jun - Jul '23
projects
BerkeleyBrew
Hyperlocal coffee discovery platform engineered for the UC Berkeley community. Provides Yelp-inspired filters, real-time crowd analytics via Google Maps integration, and community-driven rating systems. Built with modern full-stack architecture featuring personalized user experiences and location-based coffee shop discovery.
This Website!
Full-stack cloud portfolio architected on AWS with serverless infrastructure. Features DynamoDB storage, Lambda functions, and Terraform IaC deployment. Implements modern responsive design with real-time visitor tracking and dark mode support.
MusicMate
Intelligent music analytics platform integrating Spotify API with machine learning. Features mood classification using Random Forest algorithms, comprehensive listening pattern analysis, and personalized insights through advanced data processing pipelines.
SEMS
IoT-enabled environmental monitoring system with multi-sensor integration. Deployed Raspberry Pi hardware measuring air quality, radiation levels, and atmospheric conditions. Engineered real-time data pipelines with interactive Plotly visualization dashboards for comprehensive environmental analysis.
