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Hi, I'm Reva Agrawal, a passionate data science undergraduate at the University of California San Diego with a strong foundation in machine learning, AI, and software development. I've developed scalable backend services, contributed to neuroscience research by migrating MATLAB to Python, and led frontend architecture for hardware-software interfaces. I enjoy working at the intersection of AI, data visualization, and software engineering to build impactful technology solutions. Throughout my internships and research roles, I've gained hands-on experience with Python, FastAPI, SQLAlchemy, and advanced machine learning models while collaborating with diverse teams in Japan, India, and the US. I am enthusiastic about continuing to leverage my technical skills in real-world applications and contribute to innovative projects in data science and AI-driven software engineering.…Hi, I'm Reva Agrawal, a passionate data science undergraduate at the University of California San Diego with a strong foundation in machine learning, AI, and software development. I've developed scalable backend services, contributed to neuroscience research by migrating MATLAB to Python, and led frontend architecture for hardware-software interfaces. I enjoy working at the intersection of AI, data visualization, and software engineering to build impactful technology solutions. Throughout my internships and research roles, I've gained hands-on experience with Python, FastAPI, SQLAlchemy, and advanced machine learning models while collaborating with diverse teams in Japan, India, and the US. I am enthusiastic about continuing to leverage my technical skills in real-world applications and contribute to innovative projects in data science and AI-driven software engineering.

REVA AGRAWAL

Developer, Programmer, Full Stack Developer, +2

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Hi, I'm Reva Agrawal, a passionate data science undergraduate at the University of California San Diego with a strong foundation in machine learning, AI, and software development. I've developed scalable backend services, contributed to neuroscience research by migrating MATLAB to Python, and led frontend architecture for hardware-software interfaces. I enjoy working at the intersection of AI, data visualization, and software engineering to build impactful technology solutions. Throughout my internships and research roles, I've gained hands-on experience with Python, FastAPI, SQLAlchemy, and advanced machine learning models while collaborating with diverse teams in Japan, India, and the US. I am enthusiastic about continuing to leverage my technical skills in real-world applications and contribute to innovative projects in data science and AI-driven software engineering.…Hi, I'm Reva Agrawal, a passionate data science undergraduate at the University of California San Diego with a strong foundation in machine learning, AI, and software development. I've developed scalable backend services, contributed to neuroscience research by migrating MATLAB to Python, and led frontend architecture for hardware-software interfaces. I enjoy working at the intersection of AI, data visualization, and software engineering to build impactful technology solutions. Throughout my internships and research roles, I've gained hands-on experience with Python, FastAPI, SQLAlchemy, and advanced machine learning models while collaborating with diverse teams in Japan, India, and the US. I am enthusiastic about continuing to leverage my technical skills in real-world applications and contribute to innovative projects in data science and AI-driven software engineering.

Available to hire

Hi, I’m Reva Agrawal, a passionate data science undergraduate at the University of California San Diego with a strong foundation in machine learning, AI, and software development. I’ve developed scalable backend services, contributed to neuroscience research by migrating MATLAB to Python, and led frontend architecture for hardware-software interfaces. I enjoy working at the intersection of AI, data visualization, and software engineering to build impactful technology solutions.

Throughout my internships and research roles, I’ve gained hands-on experience with Python, FastAPI, SQLAlchemy, and advanced machine learning models while collaborating with diverse teams in Japan, India, and the US. I am enthusiastic about continuing to leverage my technical skills in real-world applications and contribute to innovative projects in data science and AI-driven software engineering.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Software Development Intern at Gallows AI

June 1, 2025 - Present

Designed and implemented scalable backend repositories and services using FastAPI and SQLAlchemy for a production customer-service platform with dynamic filtering, pagination, and CRUD functionality. Contributed to database schema design and migration workflows with Alembic, ensured code quality via automated linting and CI checks, and collaborated on API architecture and data schemas to support multi-user blogging with advanced search/filter features.

Neural Data Analysis Undergraduate Researcher at Mikio Lab, under Prof. Mikio Aoi

April 1, 2025 - Present

Led migration of neuroscience study codebase from MATLAB to Python, extending core functionality with new tools for dimensionality estimation, time-dependent decoding, and dynamic neural visualization. Collaborated with researchers to validate results and resolve edge cases, delivering scalable and maintainable code with modern Python libraries focused on PFC dynamics.

Software Development Engineer at IEEE-HKN, Kappa Psi Chapter

February 1, 2025 - Present

Led frontend architecture and software development for a modular 9-key programmable macro pad using QML firmware and C++ for event handling and custom key remapping. Developed a cross-platform UI in Python with PyQt for macro configuration, key visualization, and live profile switching enabling extensibility without firmware changes.

Machine Learning Intern at Spartificial

September 1, 2024 - August 24, 2025

Developed a hybrid deep learning pipeline combining CNN and U-Net for semantic segmentation of multispectral satellite imagery, improving IoU by 14% on underrepresented land classes. Optimized model inference through quantization-aware training and parallelized data preprocessing reducing overhead by 40%. Conducted hyperparameter tuning and stratified data augmentation to enhance robustness; deployed models using TensorFlow Serving for GIS platforms.

Project Engineer at Triton Neurotech

April 1, 2024 - August 24, 2025

Directed development of a myoelectric prosthetic arm achieving 85%+ gesture classification accuracy using EMG signals. Applied signal denoising and feature extraction techniques, implemented supervised learning models and explored deep learning architectures for time-series EMG classification to evaluate fidelity across subjects.