Shrikant N.

I am a data engineer and ML practitioner building production-grade GenAI systems, turning unstructured data into reliable, high-performing pipelines and applications. My experience spans from machine learning and RAG pipelines all the way back to traditional enterprise backends. I can build custom web scrapers, set up Airflow/Mage ETL pipelines, or ship LLM workflows using LangChain and vector stores. GenAI & LLMs: RAG applications, agentic workflows (LangGraph), and fine-tuning with PyTorch, LangChain, and various vector databases. Data Engineering: ETL/ELT pipelines using Apache Spark, Airflow, and Mage, hooked into warehouses like Snowflake, BigQuery, and PostgreSQL. ML & Data Science: Predictive models, time-series forecasting, and data processing at scale with Python, Pandas, Polars, and NumPy. Analytics & Backend: Product analytics (PostHog), Tableau/PowerBI dashboards, and tying it all together with C#, .NET, and SQL Server backends.