B.E. Computer Science & Data Science student in Bengaluru, building production-minded AI — retrieval-augmented systems, ML models and the APIs that serve them.
> profile.load()
name : "Ayush Raj"
focus : ["GenAI", "RAG", "ML"]
stack : ["Python", "LangChain",
"FastAPI", "TensorFlow"]
status : "building & shipping"8.0
CGPA / 10
4+
Major Projects
2027
Graduating
3
Certifications
About
I'm passionate about solving real-world problems with emerging technology. Most of my work sits at the intersection of applied AI and solid engineering: making a language model trustworthy, getting a model into a product, or designing a database that won't buckle later.
My recent focus is generative AI — retrieval-augmented generation, embeddings, knowledge graphs and self-correcting pipelines — paired with async Python backends that serve those models reliably.
I learn continuously, take on new challenges eagerly, and contribute 100% to every team I join.
Technical Skills
RAG pipelines, embeddings, prompt engineering, Llama 3 via Ollama, knowledge graphs.
Supervised learning, model training, evaluation and deployment for real-world datasets.
Async model-serving APIs with validation, clean architecture and containerised delivery.
Relational and document databases plus vector search for semantic retrieval.
Wrangling, exploration and dashboards that turn raw data into decisions.
Comfortable across the stack, from scripting to shipping and version control.
Selected Projects
A retrieval-augmented generation system that fact-checks and self-corrects its own answers using a FAISS vector database, NetworkX knowledge graphs and live Wikipedia grounding — dramatically reducing LLM hallucination.
An async platform that profiles a learner's style and adapts content accordingly, with field-level validated APIs and a fast React interface with inline SVG visualisations.
End-to-end clinical risk prediction: data cleaning, feature engineering, model comparison and a deployed Streamlit app served with Git LFS-managed model artefacts.
A tournament platform handling registrations, brackets and match results with a responsive React front end backed by a Flask + MySQL service layer.
Achievements & Experience
Led the backend role and advanced the team to the final round.
Team selected for a BIRAC funding presentation for the Oceanography & Fisheries initiative, with a call for presentation at Jaipur, Rajasthan.
Selected for the virtual internship programme in the AI domain.
Attended at Polaris School of Technology, building and shipping under time pressure.
Python for Data Science
Infosys
Data Science Professional Certificate
KNIME
Networking & Administration Fundamentals
LinkedIn Learning
Education
Acharya Institute of Technology, Bengaluru
CGPA: 8.0 / 10.0
Satyam Intl School, Patna
Score: 70%
I'm open to internships, AI/ML roles and collaborations. Reach out — I reply fast.