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Kathryn Evans

CTO

San Francisco, California, United States7 yrs experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in AI and Machine Learning solutions.
  • Proven track record in leading high-performing engineering teams.
  • Strong background in data product development and customer insights.
Stackforce AI infers this person is a leader in AI-driven data solutions for B2C applications.

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Skills

Core Skills

AiMachine LearningRobotics

Other Skills

Data teamsDigital MeasurementGraph AffinitiesMATLABML systemsMachine Learning PlatformMachine Learning solutionsReportingVerification protocolsaffinity modelsbiomechanicscomputer visiondata analysisdata platformdatabase creation

About

Experienced Engineering Director with a background and passion for building data products with Machine Learning and AI. I love solving customer problems, coaching and growing strong engineers and putting together high functioning teams. I have lead teams focused on a breadth of areas including: Language Models, Recommendation Systems, Knowledge Graphs, as well as Remote Sensing. I'm currently at Pachama where I lead our Data teams. Previously I led the Machine Learning team at Factual, the Analyze Family of teams at Primer AI and the Graph Affinities team at LinkedIn. Master and Bachelor of Science from Massachusetts Institute of Technology.

Experience

2 yrs 3 mos

Primer.ai

Present

2 yrs 9 mos

Factual Inc

Present

Strava

Director Of Engineering, AI

Feb 2025Present · 1 yr 1 mo · San Francisco Bay Area

  • Lead the AI and ML teams at Strava building models to help millions of athletes around the world push their limits and achieve their goals through AI driven insights and recommendations for connections to athletes and communities to motivate them.
  • In my role at Strava, I am responsible for ML systems including recommenders, search, trust and safety as well as generative models and our Machine Learning Platform.
AIMachine LearningML systemsrecommendation systemssearchtrust and safety+2

Pachama

Director of Engineering

Oct 2022Mar 2025 · 2 yrs 5 mos

  • I lead our AI and Data teams to establish Digital Measurement, Reporting and Verification protocols for nature based projects to ensure high quality and accurate carbon crediting. As director I manage teams which provide Machine Learning solutions for forest conservation and restoration project baselines and biomass estimates from computer vision based understanding on remote sensors (like Satellite, LiDAR and aerial imagery) as well data platform teams to empower and serve our core data products.
  • I bridged our sciences and product teams ensure Pachama's models could move from research to customer facing insights.
AIData teamsDigital MeasurementReportingVerification protocolsMachine Learning solutions+4

Linkedin

Engineering Manager - AI

Jun 2021Oct 2022 · 1 yr 4 mos

  • Led the Graph Affinities and Pages AI team at LinkedIn, focused on ensuring the best use of the network you've grown and built on LinkedIn
  • Develop affinity models from LinkedIn's social and economic graph to improve relevance and personalization for members and companies through integration and customization with a number of different surfaces on the platform such as notifications and feed. We've focused on building a scalable, customizable graph neural network framework.
  • Focus on specific driving Company engagement on LinkedIn by improving distribution of Company content and improving the company admin experience to grow the Page ecosystems.
Graph AffinitiesAIaffinity modelspersonalizationscalable frameworksMachine Learning

Mit biomimetic robotics lab

Graduate Research Assistant building the MIT Cheetah

Sep 2014Jan 2016 · 1 yr 4 mos

  • Simulated and designed energetically optimal gaits for MIT Cheetah. Used principles from biomechanics and the methods used by animals to study how a running robotic quadruped could most efficiently run. Built a model and simulation of the robot. Utilized shooting and collocation methods to perform trajectory optimization to find most efficient motions, controls and design parameters for the robotic cheetah.
roboticsbiomechanicstrajectory optimizationsimulationRobotics

Exxonmobil

Umbilicals, Risers and Flowlines Intern

Jun 2014Sep 2014 · 3 mos · Houston, Texas Area

  • Created a database of key parameters in design and testing of past control and power umbilicals-Analyzed database for areas to standardize in future umbilical designs.
database creationdesign analysisstandardization

Stochastic analysis and nonlinear dynamics (sand) lab

Research Assistant

Jan 2014Jun 2014 · 5 mos

  • Explored ocean wave dynamic instabilities and the resulting probability of rogue waves. Developed a MATLAB simulation of rogue wave occurrences.
MATLABsimulationwave dynamics

Parc

Hardware Systems Laboratory

Jun 2013Aug 2013 · 2 mos

  • Designed and implemented an apparatus and controls for a prototype lithography platform. Built or specified fabrication of parts for optic and microfluidic subsystems
design implementationfabrication

Ge transportation

Services Execution Intern

May 2012Aug 2012 · 3 mos

  • Analyzed data and developed graph/charts to depict progress of planned implementation versus actual by
  • tracking and researching existing services projects based on customer impact and overall cost. Created a matrix of past projects by developing analysis of projects reviewed by type, frequency, customer, etc.
data analysisproject tracking

Education

Massachusetts Institute of Technology

Master of Science (M.S.) — Mechanical Engineering

Jan 2014Jan 2015

Massachusetts Institute of Technology

Bachelor of Science (B.S.) — Mechanical Engineering

Jan 2010Jan 2014

University of Oxford

Study Abroad — Mechanical Engineering

Jan 2012Jan 2013

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