$ whoami
Aaroh Sharma
Senior at UT Austin - B.S in Computer Science and Math
$ skills
JavaC++C#PythonDockerAngular
System Architecture & Projects
Wellhead Installation Digital Simulator
Advanced software simulator enabling realistic testing with real-time noise, shift, and network fault simulations
Key Achievements:
- Angular front-end with dynamic scatterplot detection
- PDF job report generation and responsive layouts
- Modbus protocol support for industrial communication
- SharePoint file synchronization reducing setup time by 10×
- Machine learning algorithm for landing detection (Patent pending)
- Integrated capacitance and strain gauge sensor processing
AngularModBusMachine LearningC#Embedded CMPLAB X
YASPE - Streaming Platform Engine
High-performance C++ streaming platform leveraging modern C++20 for efficient real-time data processing
Key Achievements:
- Built comprehensive buffer management system
- Implemented windowing system for stream processing
- Designed client-server communication with gRPC and Protobuf
- Created shared library system for custom user functions
- Containerized with Docker for easy deployment
- Comprehensive testing with GoogleTest framework
C++20CMakegRPCProtobufDockerGoogleTestGCP
NextUp - Pickup Sports Platform
React-based social platform connecting pickup sports players with comprehensive user matching system
Key Achievements:
- Led team of 4 through complete design process
- Conducted user surveys for needfinding research
- Prototyping with wireframes and Figma designs
- User profile system with skill-based matching
- Firebase backend with real-time data sync
- A/B testing with counterbalancing for UX optimization
ReactFirebaseFigmaJavaScriptUser ResearchA/B Testing
Impact & Achievements
System Performance
YASPE Streaming Engine
- • Built high-performance C++20 streaming platform
- • Leveraged modern C++ for optimal performance
- • Tested on Google Cloud Platform VMs
Wellhead Simulator
- • Reduced setup time by up to 10×
- • Real-time noise & fault simulations
- • Significantly improved testing coverage
Development & Innovation
Machine Learning Innovation
- • Invention disclosure IS25.1019 under review
- • ML-driven landing detection algorithm
- • Improved sensor accuracy with capacitance/strain
Full-Stack Development
- • Angular front-end with dynamic visualizations
- • Modbus protocol integration
- • SharePoint file synchronization system
Systems & Architecture
Operating Systems
- • Implemented PintOS in C and x86 assembly
- • Built process scheduling & virtual memory
- • Designed Fast File System implementation
Team Leadership
- • Led team of 4 in React app development
- • Full design process from needfinding to testing
- • A/B testing with counterbalancing methods
$ contact --info
Let's Connect
$ location --current
Austin, TX
$ contact --email
aaroh.sh@gmail.com$ cat resume.pdf
Download Resume$ ls ./social-links