B.Tech CSE (AI & ML) | 2023β2027
India
GenAI / ML Engineer (Student)
I build end-to-end AI systems β from data β model β evaluation β deployment.
- Build RAG systems for QA and code understanding
- Design GenAI pipelines using LangChain & LangGraph
- Work on Recommender Systems (ranking, evaluation, experimentation)
- Develop ML systems with deployment (APIs, dashboards)
- Focus on production-ready workflows, not just notebooks
Languages:
Python β’ SQL β’ JavaScript β’ C
ML & AI:
Scikit-learn β’ XGBoost β’ TensorFlow β’ Deep Learning β’ NLP β’ LLMs
GenAI:
LangChain β’ LangGraph β’ RAG β’ Prompt Engineering
Backend & Systems:
FastAPI β’ REST APIs β’ MongoDB β’ ChromaDB β’ Pinecone β’ SQLAlchemy
Tools & Platforms:
AWS β’ Docker β’ Git β’ Streamlit β’ LangSmith β’ Render
- Built a multi-step GenAI system that generates full courses (units β lessons β quizzes)
- Designed LangGraph pipeline with RAG-based caching to reduce LLM cost
- Integrated Groq LLM + ChromaDB for efficient retrieval
GitHub: https://github.com/piyushnaula/text2learn
- Built a system to query large codebases using natural language
- Designed full RAG pipeline with semantic chunking and embeddings
- Achieved >90% retrieval relevance on large codebases
- Added LangSmith tracing for debugging and observability
GitHub: https://github.com/piyushnaula/Source-Code-Analyzer
- Built ML pipeline comparing 4 models (LR, RF, XGBoost, DL)
- Achieved ~83% ROC-AUC using SMOTE + tuning
- Created Streamlit dashboard with SHAP for explainability
GitHub: https://github.com/piyushnaula/Proactive-Retention-Engine-using-ML
Data Science Intern β Navodita Infotech
- Built a music recommendation system on 62K+ tracks using hybrid filtering ξ¨0ξ¨
- Smart India Hackathon (SIH) 2025 β Selected team
- NASA Space Apps Challenge 2025 participant (57K+ participants)
- Certifications in GenAI, Data Science, Deep Learning
- Advanced RAG systems
- ML system design
- Scalable deployment (FastAPI, Docker, APIs)
- LinkedIn: https://linkedin.com/in/piyushnaula
- Email: thakurnaula001@gmail.com
I focus on building real-world AI systems that solve practical problems