Sepehr Sadighpour

Equilibrium Energy

Staff ML Ops Engineer

Oct 2022 - Present

• Designed and built a new ingestion framework based on Temporal.io and dbt. Reduced duration of backfills from days to minutes, while reducing cost and improving resilience to outside outages
• Implemented distributed hyper-parameter tuning of Deep Learning models in Metaflow
• Tracked DORA and ML Test Score for communicating ML infra maturity to management
• Simplified Feast feature store management to allow Data Scientists to self-serve
• Developed dashboard for visualizing time-series forecast output and model performance
• Introduced Great Expectations to validate data at ingestion
• Designed experimentation workflow for data scientists, allowing them to self-serve via sandboxed clones of data warehouse & personal dbt development workflow

• Technologies: Terraform, Docker, Kubernetes, AWS EKS, Metaflow, Temporal.io, dbt, Snowflake (Streams & Tasks for CDC), Airflow MWAA, Great Expectations, pants, Feast, Argo Workflows, Argo CD, Tensorflow, XGBoost, Optuna, Dash

Actium Health

Staff Data Engineer & Manager

Mar 2021 - Oct 2022

• Managed and mentored team of 4 data engineers, acting as tech-lead and scrum master.
• Identified and addressed gaps in visibility, monitoring, and alerting
• Introduced rigorous standards of validating data pipelines and monitoring system behavior.

Technologies: Jira, Kubernetes, prefect

Bodyport

Senior Data Engineer

May 2020 - Mar 2021

• Built tooling for visualizing and annotating physiological time-series data from device for use in machine learning applications
• Set up production replicas, ETL, and data warehouse for analytical and research purposes
• Brought all data-science related infrastructure under code, creating a completely reproducible tech stack.
• Created developer tools for generating realistic data while protecting patient privacy.

Technologies: Dash, Terraform, Azure App Service, postgres+pglogical, scipy, scikit-learn

Clarify Health Solutions

Senior ML Engineer

June 2018 - Mar 2020

• Architected ML training and tracking framework capable of parallel training and serving 1M+ models in production in batch and real-time modes.
• Implemented distributed model interpretation framework in Spark.
• Built Spark pipelines for data validation, feature engineering, and model training on 10s of billions of rows of healthcare claims and social determinants of health data.

ML Engineer

Nov 2017 - June 2018

• Trained risk models for a variety of health outcomes, implementing requirements from statistics experts and translating government policy documents (Medicare/Medicaid)

• Technologies: H2O, AWS (ECS/Batch/EMR/Redshift), Spark+Spark ML, dagster

Omada Health

Data Scientist

Apr 2016 - Jul 2017

• Guided product direction via analyses of trends in participant behavior, leading to 6% lift in user engagement
• Designed and implemented A/B tests for new features in close collaboration with product
• Managed 4-person data team's research into areas such as chatbots, reinforcement learning, and machine vision
• Proposed and prototyped multi-armed bandit for more data-efficient personalization
• Used Word2Vec & Doc2Vec to cluster patient communications.

Technologies: pandas, gensim, VowpalWabbit, R/Shiny/ggplot

Galvanize University

Data Science Fellow

Oct 2015 - Jan 2016

• Capstone Project: Generated text embeddings of scientific publications and built an information retrieval app for searching Arxiv semantically, using vector length to control temperature of results.

BayThrive

Owner, Developer, Project Manager

Jan 2010 - Apr 2016

• Increased traffic 20x and conversion rates 4x for biotech sales firm through SEO and iterative design.
• Built development and production infrastructure for early-stage AI startup using Docker and Ansible.
• Developed heuristic for financial research firm to estimate degree of self-similiarity in time-series data.

Mepkin Abbey

Webmaster, Go-To Guy

Jun 2008 - Jan 2010

• Built WordPress website, e-commerce solution, and trained store employees in inventory management and fulfilling online sales.
• Managed development of custom registration system, from need-assessment to hiring and project management.