San Francisco · Engineer · Builder · Explorer

Software, story, and a little sea monster energy.

I'm Youness Bennani, a full-stack software engineer who loves shaping thoughtful products, especially where data, systems, and human behavior intersect.

Most recently I worked at Bloomberg on BQuant, a financial analysis platform powered by Jupyter and Python. Before that, I spent years at Berkeley Lab building software for geospatial energy and environmental research.

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A Career With Range

I build tools that help people think clearly with data. That has meant product-facing platform work, internal workflow improvements, analytics, and end-to-end feature delivery across small and large organizations.

At Berkeley Lab, our group's work contributed to energy savings estimated at more than 8 quads through 2030. At Bloomberg, I helped ship practical features for users working deeply inside notebooks, Python environments, and research workflows.

What Matters To Me

After years in high-intensity work, I stepped back at the end of 2025 to travel, reflect, and reset. That chapter brought yoga training in Thailand, long hikes in Japan, and a stronger sense of what kind of life and team culture I want to help build.

I'm drawn to environments with strong cohesion, curiosity, and conviction. I care about sustainability, emotional honesty, and making things that feel alive rather than merely polished.

Experience

Built across research, data, and product.

Bloomberg L.P.

San Francisco, CA
Full-Stack Senior Software Engineer · Sept 2018 - Nov 2025
  • Designed and developed BQuant features for financial analysis workflows built on Jupyter and Python.
  • Led delivery of a Conda environment upgrade system with checkpoints and rollback support.
  • Influenced product direction through fast iteration on proofs of concept and MVPs for beta clients.
  • Partnered with product and UX using Splunk dashboards to improve feature discoverability and engagement.
  • Coordinated cross-team Jupyter extension migrations across multiple teams and stakeholders.

Berkeley Lab - Energy Efficiency Standards Group

Berkeley, CA
Software Engineer · Research Analyst · Jun 2012 - Sept 2018
  • Built software for geospatial energy, environmental, and economic analysis using Monte Carlo methods.
  • Automated collection and processing pipelines, reducing processing times by up to 80%.
  • Improved coordination inside a 70-person group through shared data systems and lifecycle tools.
  • Designed testing protocols using sensitivity analysis and statistical hypothesis testing.
  • Co-authored roughly 100 technical reports over 6 years.

Earlier Roles

Palo Alto · Paris · Berkeley · Oxford
Data Engineering Fellow · Engineer · Research Intern
  • Insight Data Science: built a Flask and D3 app, trained NLP models, and created a streaming ETL pipeline on GCP.
  • Nepsen-Speen: designed an energy tracking application and efficiency studies with meaningful savings outcomes.
  • Berkeley Lab Atmospheric Science: modeled combustion and building energy behavior with Fortran and R.
  • Joint European Torus: completed a thermal study supporting fusion research instrumentation.

Skills

Technical breadth with product instincts.

Programming - Fluent

  • Python
  • R
  • VBA
  • SQL
  • SAS
  • Fortran

Programming - Working Knowledge

  • Scala
  • Haskell
  • Matlab
  • LaTeX
  • Tableau

Big Data & Cloud

  • Kafka
  • HDFS
  • Spark
  • Cassandra
  • Google DataFlow
  • BigQuery
  • AWS

Languages

  • English
  • French
  • Spanish
  • Arabic
  • Mandarin
  • Vietnamese
  • German

Writing

Thoughts, notes, and whatever survives the tide.

Connect

Looking for thoughtful teams and interesting problems.

I'm especially interested in solutions engineering, product-minded platform work, and small teams with strong culture and momentum.