I am a seasoned data scientist that specializes in prototyping analytical solutions at scale on big data. Currently, my day to day work goes with writing python, sql, spark code, leading teams, leading projects, and developing strategy. I have both IC and team lead experience. I have experience with:

LLMs • Fine-tuning • Generative AI • Transformers • Machine learning • time series analysis • predictive analytics • deep learning • Natural language processing • Vector and Graph databases • dashboards and visualizations • Teaching data science • Connecting with non-technical audience

I have experience developing the following solutions:

Health insurance risk • Recommendation Engines • A/B testing • Image processing • Real-time object detection • Fraud Detection • Ad/Promotion Targeting • Developing LLM chatbots • Fine tuning LLMs • RAG • Customer Relation Management (CRM) • Enterprise Resource Planning • Business Insights

I currently actively use the following tools depending on client needs:

Python • R • Spark • SQL • Scala • SAS • Java • Tableau • Shiny App • Hive • Hadoop • Linux • MySQL •Neo4j

Notable packages and libraries that I use for data mining and machine learning:

Pyspark • Spark ML • MLlib • Scikit-learn • Theano • TensorFlow • Pytorch • H2O • Transformers

I have used the following cloud platforms and services:

AWS • Azure • GCP • Databricks • Domino • S3 • Redshift • TDV • BigQuery • Snowflake

GPU technologies that I have worked with:

RapidsAI • Cuda • Macbook MPS • TensorRT • NeMo • Jetson • Triton Inference Server

Please check for a list of projects here: matt7salomon.github.io