Computer Science student at the University of Maryland (Machine Learning Track)
Ellicott City, MD
Minor in Statistics
I’m interested in building intelligent systems, full-stack applications, and interactive experiences that combine machine learning, data, and real-world usability.
Languages
Python • Java • JavaScript • SQL • C • Rust
Machine Learning / Data
PyTorch • scikit-learn • pandas • NumPy • Hugging Face Transformers
Web & Backend
Flask • Node.js • Express • REST APIs • HTML • CSS
Tools
Git • Linux • Docker • AWS
https://devpost.com/software/batsense
Three.js • GLSL • JavaScript
- Built an interactive 3D cave navigation game using simulated sonar pulses
- Implemented custom GLSL shaders for real-time environment visualization
- Optimized rendering and collision detection to maintain 60 FPS
- Developed in a 36-hour hackathon (Bitcamp)
https://motivo-app.onrender.com/
Flask • Python • JavaScript
- Full-stack app that recommends cars based on user preferences
- Filters across budget, body type, and features
- Integrated dynamic listings to surface real inventory
- Focused on improving recommendation relevance and user experience
https://latexgen.onrender.com/
Node.js • Express • LLM API
- Converts natural language into compilable LaTeX documents
- Handles math notation, tables, and structured formatting
- Uses prompt engineering to improve output correctness
Jan 2025 – July 2025
- Built a Python pipeline to extract structured data from unstructured transcripts
- Improved robustness across inconsistent formats and edge cases
- Developed validation datasets and regression tests to reduce failures
May 2025 – Feb 2026
- Reviewed 100+ AI-generated physics simulations
- Identified issues in numerical stability and logic correctness
- Created evaluation rubrics to improve model training quality
Sept 2023 – Dec 2024
- Processed large-scale atmospheric datasets on HPC systems (SLURM)
- Built Python scripts for analysis and visualization
- Presented findings to researchers and faculty
- AWS Certified Cloud Practitioner (2025)
- AWS Machine Learning Foundations (2025)
- Email: achyutha60@gmail.com
- GitHub: https://github.com/aduddeba
- LinkedIn: https://linkedin.com/in/aduddeba
- Expanding Motivo with smarter recommendation systems
- Exploring machine learning-driven personalization and ranking
- Building interactive, real-time web experiences