Aaryan Wadhwani
Crafting intelligent solutions at the intersection of AI/ML, full-stack development, and cloud architecture. Building the future, one algorithm at a time.
ROLE="Software Engineer & Data Scientist"
EDUCATION="Purdue University • CS & AI"
GPA="3.93/4.00"
Frameworks: React, Node.js, TensorFlow, PyTorch
Cloud: AWS, Docker, Kubernetes, Azure
Tools: Git, Linux, VS Code, Jupyter
✅ Available for collaboration!
About Me
I'm a Computer Science & Artificial Intelligence student passionate about building innovative solutions at the intersection of software engineering and machine learning. My expertise spans from low-level systems programming to modern web development, with a focus on scalable, high-performance applications.
Through various internships and projects, I've developed a comprehensive understanding of full-stack development, data engineering, and AI/ML systems. I'm always eager to learn new technologies and tackle challenging problems in software engineering and data science.
Cloud Computing
Scalable cloud solutions and distributed systems
Data Engineering
Efficient data processing and storage solutions
Software Development
Full-stack development with modern frameworks and best practices
Machine Learning
Building and deploying ML models for real-world applications
Experience
Undergraduate Data Scientist
- Developed ML-driven tools to analyze content patterns and improve user workflows.
- Built prototypes to accelerate experimentation and onboarding processes.
Project Manager - ManglarIA
- Led a team applying ML and cloud tools to analyze environmental data.
- Coordinated project planning and execution using agile practices.
Undergraduate Teaching Assistant
- Supported instruction and graded assignments for data structures and algorithms courses.
- Assisted students with problem-solving and conceptual understanding of core CS topics.
Software Engineering Intern
- Developed low-latency communication systems for real-time industrial control.
- Implemented ML-powered tools to improve troubleshooting and support workflows.
Undergraduate Research Assistant | AVL Fast-Hash | Dr. Rodriguez-Rivera
- Researched cache-aware data structures to improve memory and performance efficiency.
- Benchmarked and optimized algorithms achieving significant speedups over standard implementations.
Data Engineering Intern
- Designed REST APIs and implemented CI/CD pipelines to reduce deployment issues.
- Integrated caching solutions to improve query performance for large-scale applications.
Undergraduate Data Scientist
- Managed large-scale time-series datasets and built analytics dashboards.
- Analyzed data to support operational decision-making and strategic planning.
Web Developer Intern
- Developed responsive web features and improved site usability.
- Enhanced user interface components to improve user experience and engagement.
Featured Projects
StockSage AI
- Time-series forecasting app with ML models, sentiment signals, and an interactive dashboard.
Systems Projects
- POSIX Shell: Built a POSIX-style shell with job control, pipelines, and history.
- Simple-C Compiler: Created a Simple-C compiler producing optimized x86-64 assembly.
AtariRL
- Reinforcement learning framework for Atari games with training and visualization tools.
Academic Coursework
Computer Science Core
Advanced Computer Science
Data Science & Engineering
Mathematics
Humanities & Social Sciences
Skills & Technologies
Programming Languages & Core Technologies
Web Development & Frameworks
Machine Learning & AI
DevOps & Cloud
Machine Learning & AI
Tools & Development
Get In Touch
Ready to collaborate? Let's build something amazing together.