👋 Hi, I'm
Python developer transitioning into AI Engineering — building with LLMs, RAG pipelines, and intelligent agents. Based in Madison, Wisconsin.
class Prudhvi:
role = "AI Engineer"
location = "Madison, WI"
skills = [
"LLMs", "RAG",
"LangChain", "Python",
"FastAPI", "ML",
]
def greet(self):
return "Let's build something!"I'm a Python developer with a strong foundation in Machine Learning, Data Analytics, and Full-Stack Development — now focused on building the future with AI.
My journey started in 2018 and has taken me through ML projects, backend APIs, BI dashboards, and now into the exciting world of LLMs, RAG systems, and AI agents.
I contribute to open source projects including Google's Magika and other repositories, and I track my daily AI learning journey publicly on GitHub.
AI-powered tool that generates tailored job application pitches based on your profile and the job description.
View on GitHub →Predicts diseases from user-provided symptoms using 3 machine learning algorithms with a GUI built in tkinter.
View on GitHub →Portfolio of Power BI dashboards covering B2B parts pricing, customer trends, and financial KPIs.
View on GitHub →Detects and displays real-time heart rate using only a standard webcam — no sensors or hardware needed.
View on GitHub →Full REST API for an e-commerce platform with role-based access control for Admin and Customer users.
View on GitHub →Business performance dashboard for tracking and visualizing key business metrics in real time.
View on GitHub →Added basic test samples for 10 missing content types (cpp, go, java, kotlin, shell, sql, xml, rst, jsonl, scss) to Google's AI-powered file type detection tool.
Added missing model: str class-level annotation to BaseProvider abstract class, fixing mypy type checking errors.
Removed obsolete version key from docker-compose.yml to align with modern Docker Compose Specification.