I'm Nabojyoti Pandey, a data and AI engineer focused on building agentic AI systems, retrieval-augmented generation (RAG) pipelines, and scalable machine learning platforms.
A Microsoft Azure Certified AI Engineer and Kaggle Notebook Expert, I work at the intersection of GenAI, data engineering, and production ML.
Over the past few years, Iβve engineered scalable data pipelines, deployed real-time risk and analytics systems, and built intelligent applications supporting use cases ranging from derivative clearing and HFT backtesting to ML-driven portfolio optimization.
Iβm particularly interested in designing reliable, interpretable, and production-ready AI systems, leveraging multi-agent architectures, orchestration frameworks, and cloud-native infrastructure to translate complex data into actionable intelligence.
Python PyTorch Keras scikit-learn TensorFlow Hugging Face
Built and deployed ML & deep learning models for predictive analytics, portfolio optimization, and NLP applications.
LangChain LangGraph CrewAI AutoGen Model Context Protocol Agent--to--Agent ChromaDB Pinecone FAISS
Designed agentic workflows, RAG pipelines, and vector-based retrieval systems for Generative AI applications.
Git GitHub GitLab Docker Kubernetes Python
Experienced in software engineering, containerization, and scalable system design.
Flask FastAPI Docker GitHub Actions GitLab CI Terraform
Built automated CI/CD pipelines, containerized applications, and provisioned cloud infrastructure using GitHub Actions, GitLab CI, Docker, and Terraform for scalable production deployments.
MySQL PostgreSQL MongoDB Google Cloud Amazon AWS Azure AI Foundry Azure OpenAI
Managed cloud services, relational & NoSQL databases, and deployed AI workloads on multi-cloud environments.
Python Apache Spark Databricks Pandas NumPy
Built scalable ETL/ELT pipelines, batch & streaming data workflows, and interactive analytics dashboards.
An AI-driven multi-agent equity research engine that autonomously gathers financial data, conducts analysis, and generates structured research reports for equities.
π Repository
A modular Retrieval-Augmented Generation system integrating agent-to-agent workflows and Model Context Protocol tooling to intelligently route queries, gather knowledge, and generate grounded responses.
π Repository
An autonomous AI assistant for developers that interprets tasks, generates code, and automates engineering workflows to boost productivity and streamline development.
π Repository
An adaptive RAG workflow using LangGraph to dynamically choose retrieval and generation strategies based on query complexity, improving relevance and answer quality.
π Repository
An automated system designed to generate detailed proposal letters for NGOs. It utilizes prompt engineering, generative AI, and retrieval-augmented generation (RAG) techniques.
π Repository
A machine learning-powered Flask-based web application designed for product recommendation. It delivers personalized suggestions to users based on their preferences and behaviors.
π Repository
An end-to-end data engineering project utilizing the IPL dataset. It encompasses data extraction, transformation, and loading processes, leveraging tools like Apache Spark and Snowflake.
π Repository
- π Microsoft Certified: Azure AI Engineer Associate
- π Generative AI with Large Language Models, DeepLearning.AI
- π§ Kaggle Notebook Expert
I'm always open to collaboration, learning, and new opportunities. Feel free to reach out!
- GitHub: nabojyoti
- Email: nabojyoti.product@gmail.com
- LinkedIn: Nabojyoti Pandey
- Kaggle: kaggle