AI / ML • Computer Vision • Applied Backend Systems • Research-Driven Engineering
I am a Computer Science graduate student at Texas A&M University–Corpus Christi, focused on building practical intelligent systems, research-driven software pipelines, and applied AI solutions.
My work sits at the intersection of:
- AI/ML engineering
- computer vision
- backend systems
- secure Python tooling
- reproducible technical workflows
- Building AI-assisted and automation-oriented software systems
- Developing computer vision and deep learning pipelines
- Strengthening backend engineering with FastAPI, SQL systems, and API workflows
- Expanding secure Python tooling and reproducible software practices
- EDITH Voice Assistant
- AES Encryption Toolkit
- Email Client-Server System
- Fish Species Classification Pipeline
- Graduate Research Assistant experience supporting research-grade technical workflows
- Published academic work in institutional data systems and machine learning applications
- Experience contributing to interdisciplinary technical deliverables
Languages Python • Java • SQL • JavaScript • TypeScript
AI / ML TensorFlow • PyTorch • OpenCV
Backend / Systems FastAPI • PostgreSQL • MySQL • REST APIs
Engineering Tools Git • Docker • GitHub Actions • Linux
- LinkedIn: https://www.linkedin.com/in/ranjithguggilla/
- Email: [email protected]
Focused on building deployable intelligent systems that combine research thinking with production discipline.