About me

From electronics to data science

My first degree was in Electronics & Communication Engineering at Sri Venkateswara College of Engineering in Tirupati, India. Moving into Data Science meant learning a different set of tools, but I kept the same interest in how the pieces of a system fit together.

At Gisma University of Applied Sciences, I’m pursuing an MSc in Data Science, AI & Digital Business. Alongside the academic work, I’ve been building independent projects to understand the engineering around the model: ingestion, validation, evaluation, serving and delivery.

What I learned from the projects

REES46 taught me to ask whether a pipeline can recover after it fails. The first large aggregation ran out of temporary storage, and I had to rethink the shape of the computation.

My OTTO dissertation challenged a different assumption. The weekly seasonal baseline beat the Transformer on the development folds. I kept the baseline as the selected model and used the neural experiments to understand the gap.

FulfillAI took me into delivery and operations. I wanted to know how a service gets deployed, how I would notice a problem, and what it takes to recover from a bad release in a controlled lab.

What I’m looking for

I’d like a junior Data or ML Engineering role where I can work on pipelines and model evaluation and learn how the team operates those systems in production. I’m also exploring MLOps and Cloud / Platform Engineering.