DSA / LEARNING LAB
KEEP YOUR CURIOSITY RUNNINGOne problem.
Another possibility.
Another possibility.
def find_your_next_step():
return practice + curiosity
return practice + curiosity
Arrays & Strings→
STUDENT. BUILDER. ALWAYS CURIOUS.
Hi, I’m
Mahitha.
I build AI-powered applications, solve problems, and keep learning how things work underneath the surface.
AI/ML · DSA · AI Applications · Open Source
A WORK IN PROGRESS, IN THE BEST WAY.01 / ∞
CURRENTLY LEARNING
LLMs→RAG→AI Agents→DSA
CSE (AI & ML) student @ ANITSA LITTLE CURIOSITY GOES A LONG WAY
01 — SELECTED WORK
Ideas into something real.
A few things I’m building.
Each one, a new way to learn.
⌘ NEXUS / NOC COPILOT● SYSTEM READY
INTELLIGENCE. WITH EVIDENCE.
INCIDENTAGENTIC RAGEVIDENCE
✓
Grounded in contextSOPs · Historical incidents · Citations
YOUR NEXT CHAPTER
A little more direction.
A lot more possibility.
A lot more possibility.
AI × CAREER GROWTH In progress
CareerOS
Exploring how AI can make the next career step a little clearer.
GitHubStill taking shape
Built with curiosity. Improved one iteration at a time.
A LITTLE ABOUT ME
mk.Mahitha KatragaddaMore questions.
More possibilities.
More possibilities.
02 — THE PERSON BEHIND THE CODE
Curious by nature.
A builder by choice.
I’m Mahitha, a B.Tech CSE (AI & ML) student at Anil Neerukonda Institute of Technology & Sciences.
I enjoy turning “what if?” into something I can actually use. That usually means experimenting with Python, machine learning, and web technologies to solve practical problems.
Right now, I’m especially curious about how AI systems retrieve information, reason with context, and become genuinely useful. I don’t have all the answers — that’s what makes building interesting.
Learning the fundamentals. Exploring the possibilities.
03 — MY LEARNING JOURNEY
I learn by building.
Try an idea. Break something. Understand why.
Build it a little better. Repeat.
NOT A CHECKLIST. AN ONGOING EXPLORATION.Select a chapter
→→→→→→→
It starts with a little Python.
Turning ideas into scripts, understanding the basics, and finding the confidence to build something of my own.
04 — ON MY RADAR
Still learning.
Always will be.
Not an expertise list. A peek at the ideas I’m spending time with right now.
CURIOSITY IS THE CONSTANT.
01Large Language ModelsLLMs
Exploring how language models work, how to prompt them thoughtfully, and where their limitations show up in real applications.
02Retrieval-Augmented GenerationRAG
Learning how retrieval, vector search, grounding and evaluation work together in practical AI systems.
03FastAPI
Learning to build clear, well-structured Python APIs, with request validation and automatic documentation.
04AI Agents
Experimenting with how models use tools, follow a sequence of steps, and know when they need more evidence.
05Data Structures & AlgorithmsDSA
Strengthening problem-solving foundations through practice, patterns, and understanding why a solution works.
05 — MY TOOLKIT
The tools behind the experiments.
Different tools. One goal:
make something useful.
Languages
Python / HTML / CSS
JavaScript / SQL
Frameworks & Libraries
Flask / FastAPI
Streamlit / Pandas
AI & Machine Learning
PyTorch / TensorFlow
LLMs / RAG / AI Agents
FAISS / SentenceTransformers
Gemini API
Everyday Tools
Git / GitHub
VS Code / Postman
06 — OPEN NOTEBOOK
Building in public.
Learning in public.
The projects, the experiments, and the work in progress.
Take a look under the hood.
mahithakatragadda9-maxPUBLIC REPOS
NEXUS Evidence-grounded AI for network incident analysis.
AI-POWERED-DSA-LEARNING-PLATFORMAdaptive practice. Interview preparation. Built to learn.
CarrerOSAn AI-powered career management platform in progress.
Real repositories. An honest work in progress.
07 — BETTER TOGETHER
Technology means more
when we build together.
I’m interested in open source, AI communities, and the kind of peer learning where a good question can spark a new idea. I’d love to share what I learn, learn from others, and help build technology that’s genuinely useful.
OPEN TO IDEAS, CONVERSATIONS & COLLABORATION
Let’s build
something interesting.
Have an idea, a question, or just a good AI rabbit hole?
I’d love to hear about it.