Philip Brook

Currently building Voiceform, the survey platform of the future.

We help our users do two things really well:

Scale qualitative interviews with voice data collection, transcription, automated probing, and analysis and
get deeper insight from quant surveys with voice enabled probing questions.

Msg me on LinkedIn for a free trial 🙌

Co-Founder & CEO

Full-Stack ML Engineer with a Master's in Analytics, specializing in Python/PySpark for scalable machine learning and deployment across diverse domains. Currently at Noibu, a Series A startup, where I enhance the product with cutting-edge machine learning and MLOps. My work focuses on NLP/NLU projects, deploying models using Metaflow and Google Cloud, published 2 models on Hugging Face with BERTopic for Text Classification. I've improved core product modules through advanced statistical tests in Rust and Bash, and integrated GPT for enhanced issue explanations, resulting in a 60% positive user feedback

At Rogers, I led the Natural Language Processing initiatives at Rogers Communications with a focus on Topic modelling and text classification. I also enabled Rogers with the Feature Store capability which allows trailblazing inferencing speeds and cross communications within different teams. Furthermore, I laid the foundation of MLOps capabilities at Rogers and enabling Data/Pipeline/Model drift monitoring capabilities.

I engineer end-to-end pipelines from ETL and data transformation to inferencing and deployment on the Azure Machine Learning Platform using Azure DevOps and Github. On my weekends, I volunteer as a Data Science Mentor and help communicate complex data science topics in plain language at UT Austin and BrainStation

✔ Frameworks/Languages- MS Azure Machine learning Studio, Google Cloud Platform, Databricks, Heroku, Docker, Python, Postgres and NoSQL, R Programming, C++, GitHub, Azure DevOps, Ray Distributed Computing
✔ Machine Learning – Regression Algorithms, Classification Algorithms, Boosting, Deep Learning, and Clustering Algorithms, Deep Learning Algorithms (Tensorflow, Keras, BERT (Transformers), Pytorch), Topic Modelling, Natural Language Processing, Sentiment Analysis, Text Classification, Feature Store, Metaflow
✔ Python – Pandas, Numpy, Scikit-Learn, Scipy, matplotlib, seaborn libraries,Hugging Face, BERT, Tensorflow etc.
✔ Rust and Bash 

Let's connect!

sakshamgulati123@gmail.com
Portfolio- https://sakshamgulati.github.io/
GitHub- https://github.com/sakshamgulati

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Philip Brook

Saksham Gulati

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