About Me

I've spent my career as a Software Engineer turning messy data into actionable insights—kind of like magic, but with more SQL and fewer capes. I specialize in building and optimizing data pipelines, wrangling diverse data sources, and ensuring everything stays squeaky clean and consistent. Whether it's Python, PySpark, or SQL, I enjoy diving into complex data challenges and crafting efficient solutions. Working closely with cross-functional teams (aka data detectives), I've helped crack tough business problems and deliver insights that actually make a difference.

More recently, I've been exploring the exciting world of AI agents and LLMs—building them to automate repetitive workflows, simplify data ops, and even tackle everyday tasks. I love experimenting with how large language models can be paired with data pipelines to create agents that don't just automate, but actually reason and adapt.

On the tech side, I've got hands-on experience with tools like AWS, Azure, Databricks, Airflow, and ML frameworks, which help me stay ahead in the ever-evolving data landscape. I love keeping up with the latest trends and continuously improving our data game—because who doesn't love a good upgrade? Whether it's automating workflows, optimizing queries, or building clever agents, I'm always looking for ways to make data work smarter, not harder.

• Currently Playing : 🎮
  Red Dead Redemption II
• Currently Reading : 📚
  The Alchemist
• Favorite Music Artist : 🎶
  Arijit Singh
• Favorite Indian Dish : 🤤
  Kadai Chicken
• Favorite Game Title : ☠️
  Call of Duty Series
• Favorite Sports : 🏏
  Cricket