Mrigank Nalin

Background

About Mrigank Nalin

I’m a Software Engineer passionate about building scalable big data and AI-driven solutions. At Tiger Analytics, I worked on projects spanning large-scale data pipelines, generative AI applications, retrieval-augmented generation (RAG), and knowledge graphs. My experience includes optimizing pipelines to improve data integrity, developing GenAI apps that reduce analysis time, and designing a metadata-driven knowledge graph integrated with an LLM-powered chatbot.I also have a strong foundation in backend development, with projects like MeetMate (an AI-powered video call app), LocalFetch.Hub()(a platform for local shop data visualization), and a Trade Management API built with FastAPI for high-performance querying.Certified in Microsoft Fabric Data Engineering (DP-700), Azure Data Fundamentals (DP-900), Databricks GenAI, and Neo4j Professional & GDS, I bring expertise in Python, SQL, Azure, Databricks, Neo4j, and modern frameworks like Django, Flask, FastAPI, Streamlit, and LangGraph. I’m eager to keep exploring big data engineering, AI, and knowledge graph solutions that drive business impact and accelerate decision-making.Skills:Languages: Python, SQLFrameworks & Libraries: Django, Flask, FastAPI, Streamlit, LangChain, LangGraph, Folium, PySpark, GraphFramesDatabases: Neo4j, SQL Server, Oracle, MongoDB, SQLiteCloud & Tools: Microsoft Azure, Databricks, Snowflake, Docker, WSL, Git, GitHub