I am a computer scientist and engineer focused on finding and solving meaningful non-trivial problems at the intersection of research and application. I love building things from zero to one and prefer working with small groups of likeminded mission-driven people who care deeply about the societal impact of their work.
Background
I have extensive experience building and scaling end-to-end machine learning models.
Currently, I am working on Large Language Models at Shopify as a Staff Machine Learning Engineer.
Previously, I was a founding member of the Artificial Intelligence group at HubSpot and helped grow it from 5 to XX+ members.
Here's a list of some of the things I've worked on.
Building LLM fine-tuning, evaluation, and serving layers for our ML Ops platform
Fine-tuning LLM models for specific use case using SFT and DPO and serving them with vLLM
Real-time streaming anomaly detection and forecasting on time series data
Markov chains for user action prediction
Text classification, clustering, and similarity
Search: semantic retrieval, ranking, and performance monitoring
Contextual multi-armed bandits for adaptive A/B testing
Recommender systems for lead scoring, suggested academy lessons, and search result ranking
Abuse detection for email lists
I studied computer science and business at Rensselaer Polytechnic Institute and spent most of my time competing in hackathons and doing some research on free-space optical communication (FSO). I then went to Georgia Tech and obtained a masters in computer science with a concentration in machine learning.
In my free time, I enjoy reading, writing, sailing, using Notion as my second brain, and engaging with all things automotive. I also dabble a bit in filmmaking and photography.
Select writing
Blog: Dear SWE, ChatGPT Whisperer, and aspiring MLE - 2024
HubSpot: Doing More with Less - 2020
Talks
Boston Machine Learning, August 2018: Machine Learning & Email Anti-Abuse
Contact
You can find me on Twitter @MukulSurajiwale, as therealmukul on Github, or here on LinkedIn.
Sometimes I also write out my thoughts in long-form, which can be found on my blog.
I am based in the NYC and I love meeting new people. So if you want to grab a coffee, I'd more likely than not, be down.