AI Engineering · Python · PyTorch · GenAI
ROHIT JHA
I build AI projects from data to a live app: classical ML, PyTorch models, NLP, and RAG apps with LangChain. Looking for an AI Engineering or Data Science internship.
About
I’m Rohit, a BCA student from Lucknow who builds AI projects.
I’m in my first year of BCA at IGNOU, studying in distance mode. I’m teaching myself AI and machine learning on my own, with a 6-month plan I wrote myself: Python, maths, machine learning, deep learning, and now generative AI.
So far I have built 11 projects, and every one is a working app you can open. They include a delivery-delay predictor, a credit card fraud detector, a chest X-ray classifier, a support-ticket router, a banking chatbot that understands Hindi, English and Hinglish, and an app that answers questions from your PDF.
I train the models in Python with scikit-learn and PyTorch, and build the apps in Streamlit. When a score looks too good, I check for data leakage. I put the real numbers on each project, including the weak ones. For example, my fraud model finds only about a third of fraud cases, and I say so.
I also use AI coding tools every day, and I read and test what they write before I use it. Right now I’m learning FastAPI, Docker and AI agents. I’m looking for an AI/ML or data science internship.
- Studying
- BCA, IGNOU (Open & Distance Learning), 2026 to 2029 expected
- Now
- GenAI agents, FastAPI, Docker
- Next
- System design, MLOps
- Looking for
- AI Engineering or Data Science internship
- Based in
- Lucknow, India
- Languages
- Hindi, English
Skills
What I work with
Projects
Things I’ve built
Open a demo to try it, or read the code on GitHub.
More on GitHub: all repositories, My_Projects (EDA, SQL and Python practice) and AI-Engineering-Notebooks (my learning notes).
AI-assisted development
I build with AI tools
I’m comfortable building with AI coding tools and models, and I review what they produce before it ships.
Journey
How I got here
The order I learned things in. Each step has notebooks or projects in my repositories.
Python and DSA
Python basics, time complexity, arrays and linked lists, plus small command-line projects.
Data analysis
Pandas, NumPy, Matplotlib, Seaborn and Plotly, with EDA projects on real datasets.
SQL and databases
Joins, views and procedures, with three database projects: e-commerce, library and student management.
Machine learning
Preprocessing, model evaluation, tuning and saving models, with prediction apps on top.
Deep learning
ANN, CNN and RNN / LSTM models in PyTorch, each with a Streamlit app.
NLP and transformers
Text classification, sentiment analysis and a DistilBART summariser.
Generative AI
LangChain, RAG with FAISS and Groq, and structured outputs with Pydantic.
AI agents, FastAPI, DockerNow
Building agents and serving them behind an API in a container.
System design and MLOpsNext
Designing larger systems and running models in production.
Credentials
Certificates
Click a certificate to see it full size.
Contact
Let’s talk
Open to AI/ML internships · Lucknow, India
rohitjha7386@gmail.com
