🔭 I’m currently working on
Real-time GenAI & LLM backend systems using Python
Azure Databricks projects (data engineering + analytics use cases)
Information extraction from complex PDFs using OpenAI / Azure OpenAI
End-to-end AI-driven platforms (from architecture to deployment)
👯 I’m looking to collaborate on
Production-grade LLM / RAG / Agentic AI projects
Data Engineering solutions on AWS & Azure (Glue, Databricks, BigQuery)
Open-source tools for AI automation, code review, and DevSecOps
🫶 I’m looking for help with
Scaling LLM systems for enterprise workloads
Best practices for LLMOps, monitoring, and cost optimization
Designing real-time AI products with strong architecture & security
🌱 I’m currently learning
Advanced Agentic workflows (AutoGen, LangGraph, Assistants)
Databricks Lakehouse patterns for real-time analytics
Production-ready DevSecOps for AI systems
💬 Ask me about
AWS Data Engineering (Glue, S3, Lambda, IAM)
Azure Databricks & real-time data pipelines
LLM backend design, RAG, prompt engineering
Building AI products from scratch to scale
⚡ Fun fact
I enjoy turning messy real-world data into clean, structured intelligence 🚀
