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rohan@rohan-os:~$ cat about.txt
Hey, I'm Rohan Payyavula — a Computer Science alumnus of George Mason University with 1.5 years of internship experience across software engineering, AI/ML, data automation, full-stack development, and embedded/edge systems.
I've built RAG-based healthcare platforms, backend APIs, cloud workflows, and AI-powered automation tools — including an AI chatbot that cut manual onboarding time by 83% and data workflows that reduced manual processing by 90%. I also taught Full Stack Web Development (CS 395) at GMU as a student instructor.
rohan@rohan-os:~$ ▊
rohan@rohan-os:~/projects$ ls -la
RAG-based healthcare platform for patient guidance and information retrieval, with a microservices risk-analysis engine — built at REAN Foundation.
Full-stack access control system using live face recognition — camera in, door decision out.
AI dashboard that ingests incident data and produces LLM-driven root cause analysis for engineering teams.
Solo-built MERN web app helping growers stay compliant without the paperwork headache.
Desktop web browser built from scratch in a 4-person team for CS 321 — tabs, history, bookmarks, the works.
AI chatbot built as a consultant for Northrop Grumman — cut manual onboarding tasks by 83%.
rohan@rohan-os:~/projects$ ▊
rohan@rohan-os:~$ tail -f experience.log
Backend development, system design, and technical implementation for emerging technology products — spanning product development, cybersecurity, and hardware/software integration in a startup environment.
Built a RAG-based healthcare platform (Python, FastAPI, PostgreSQL, AWS Lambda) for patient guidance, a microservices risk-analysis engine with Docker, and agent-driven health-worker tools with React, Flask, and Kubernetes.
Taught Full Stack Web Development to 20+ students — lectures, technical demos, debugging help, and project-based learning across frontend, backend, APIs, and databases.
Designed LLM-powered insight and appointment-scheduling systems, contributed to LLM root cause analysis, shipped Django backend features, and researched AI use cases in healthcare.
Built an AI onboarding chatbot (Python, LangChain, SQL) with a PyQt5 desktop interface — reduced manual task time by 83%.
Supported 200+ students in Calculus II and III through help-room sessions and individualized problem-solving.
Led a team producing marketing videos for a community-support nonprofit — three storyboards, two finished videos, on schedule.
rohan@rohan-os:~$ ▊
rohan@rohan-os:~$ cat skills.json | jq .
{
"languages": ["Python", "C/C++", "SQL", "JavaScript", "TypeScript", "Java"],
"frameworks": ["React", "FastAPI", "Flask", "Django", "LangChain"],
"ai_ml": ["PyTorch", "TensorFlow", "scikit-learn", "RAG / LLM systems", "computer vision"],
"data": ["Pandas", "NumPy", "PostgreSQL", "data analysis"],
"cloud_infra": ["AWS", "Docker", "Kubernetes", "Git"],
"systems": ["embedded/edge systems", "hardware/software integration"]
}
rohan@rohan-os:~$ ▊
rohan@rohan-os:~$ glow education.md
Coursework across systems, AI/ML, and web development. Taught CS 395 (Full Stack Web Development) as a student instructor and served as a Learning Assistant for Calculus II/III.
rohan@rohan-os:~$ ls certifications/
rohan@rohan-os:~$ ▊
rohan@rohan-os:~$ ./contact.sh --all
# Open to software engineering, AI/ML, backend, data, and embedded/edge roles.
rohan@rohan-os:~$ ▊