Experience
Hey there! Welcome to my corner of the web. What gets me fired up? Building cool stuff and collaborating with passionate people! I’ve had a blast working with cutting-edge tech like Large Language Models and Deep Learning during my time at Google and doing research at CMU, alongside getting hands-on with distributed databases and cloud systems. But it’s not all modern tech – I have a massive soft spot for retro computers and love messing around with emulators for old gaming consoles.
When its time to unplug, chances are I’m jamming on my guitar and making dad jokes. Here’s one for you – Do you know how many guitars a guitarist shoud buy? “One more”
Google
Software Engineer
February 2024 - Present
Key Responsibilities:
- Building the next generation of Cloud Compute software deployments to help scale GCP to more than 10 million VMs, general purpose hardware (CPU, GPU) as well as application specific hardware (TPU).
- Built infrastructure to reduce time-to-market for New Product Introductions (NPIs) by 20%.
- Mentoring engineers on the Go programming language.
Google
Software Engineer Intern
May 2023 - Aug 2023
Key Responsibilities:
- Engineered a full-stack AI application for Google Cloud Support using LLMs and Recommender Systems, reducing customer response times by 30%. Developed APIs, front-end, MLOps pipelines (Kubeflow), and scalable GCP data pipelines for efficient ingestion (1M+ weekly records) into vector databases and model fine-tuning.
Carnegie Mellon University
Researcher
Jan 2022 - Dec 2023
Key Responsibilities:
- You can find my research on Google Scholar by clicking here.
Deloitte
Data Scientist
Sept 2020 - Dec 2021
Key Responsibilities:
- Drove significant impact through diverse projects: won a firm-wide Hackathon (1st/30) with a production tool saving 100 hrs/yr, built APIs & MLOps pipelines for Auto-ML, and led cloud data migration (50M+ records) saving 40 hrs/wk.