Nathan Kiner, Developer in Berlin, Germany
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Nathan Kiner

Verified Expert  in Engineering

Machine Learning Developer

Location
Berlin, Germany
Toptal Member Since
October 10, 2016

Formerly a data science lead and entrepreneur in the climate tech industry, Nathan is an expert in applied AI and geospatial intelligence in diverse spaces such as Earth Observation, 3D reconstruction, customer behavior prediction, or natural language understanding. He can support with full-stack development of AI and geospatial tools.

Portfolio

Sunjul
React, Django, Python, SQL, Mapbox, Business to Business (B2B)...
Google Research
Strategy, Technical Program Management, Business Development, Partnerships, SQL...
Google Maps
D3.js, Tableau, Python, BigQuery, SQL, Google AI Platform, Google Cloud SQL...

Experience

Availability

Part-time

Preferred Environment

SQL, Python, Google Cloud, React, Mapbox GL, PyTorch, GitHub

The most amazing...

...thing I did was start my own solar software company building a geospatial MVP from scratch on a Django, React, and Mapbox stack.

Work Experience

CTO

2022 - 2023
Sunjul
  • Developed and supervised the development of an MVP for a geospatial tool gathering 20+ datasets in a lead generation interface for solar developers.
  • Established the business plan and product roadmap for a VC-backed B2B SaaS company.
  • Pitched the solution to hundreds of investors and customers, either in front of large audiences or through direct outreach efforts.
  • Designed and implemented the investor and sales pitches.
Technologies: React, Django, Python, SQL, Mapbox, Business to Business (B2B), Product Roadmaps, Product Development, Product Strategy, Sales, Fundraising, Heatmaps, Data Analytics, Databases, TypeScript, GitHub, Google Cloud Platform (GCP), JavaScript, HTML, CSS, Geospatial Data, Full-stack

Technical Program Manager

2020 - 2022
Google Research
  • Brought the primary project from its concept documentation to the delivery of photorealistic 3D reconstruction for self-driving car AI training (Waymo) at the city scale.
  • Technical implementation and design of an AI-powered texturing engine for the 3D reconstruction of buildings.
  • Launched and operated 2D / 3D data creation pipelines for ML training, leading to multiple Maps improvements.
Technologies: Strategy, Technical Program Management, Business Development, Partnerships, SQL, New Products, Machine Learning Operations (MLOps), Prototyping, Machine Learning, Artificial Intelligence (AI), Image Processing, Dashboards, Reports, Computer Vision, Data Analytics, Databases, Google Cloud Platform (GCP), JavaScript, Geospatial Data

Lead Product Analyst, Geo Imagery Ops

2017 - 2020
Google Maps
  • Implemented ML pilot projects for 5x time gain on bike lane mapping in new countries.
  • Led the development and maintenance of a pool of 80+ dashboards and ETLs used by the management of a 500-people Ops organization.
  • Redefined the resource allocation model for StreetView driving, leading to a 14% gain in driving efficiency in global operations.
  • Organized collaboration with the City Council and university (UCD), leading to the integration of Google's emissions data in the city's climate action planning.
Technologies: D3.js, Tableau, Python, BigQuery, SQL, Google AI Platform, Google Cloud SQL, Machine Learning Operations (MLOps), Mapping, Geospatial Analytics, Geospatial Data, GIS, GIS Cloud, Computer Vision, Augmented Reality (AR), Machine Learning, Artificial Intelligence (AI), Image Processing, Data Engineering, Data Analysis, Data Scientist, Dashboards, Reports, Heatmaps, Data Analytics, Databases, Google Cloud Platform (GCP), CSS

Data Science Fellow

2016 - 2016
Galvanize
  • Created end-to-end NLP pipeline with Spark and Doc2Vec to detect sensitive content in movie subtitles and classify movies accordingly.
  • Implemented with Frequentist and Bayesian frameworks for A/B Testing and applied to numerous use cases.
  • Detected fraud in a large dataset of transaction data and built a monitoring dashboard using Flask / MongoDB / Matplotlib.
  • Analyzed, visualized, and predicted churn likelihood in transportation data from a ride-sharing app using Gradient Boosted Trees, SVMs, Random Forests, and ensembling techniques.
  • Built a recommendation engine based on joke-like data from the Jester dataset using matrix factorization and collaborative filtering techniques.
Technologies: Scikit-learn, GraphLab, MongoDB, Flask, Spark, Python, Machine Learning, Artificial Intelligence (AI), Data Scientist, Data Analytics, GitHub

Data Science Consultant

2016 - 2016
Self-employed
  • Detected fraud in car insurance claims by implementing random walks on bipartite graphs.
  • Predicted the price of car parts leveraging recommender systems on car insurance audit data.
  • Implemented web scraper to collect several million entries for a movies/actors/productions database.
Technologies: Python, Machine Learning, Artificial Intelligence (AI), Data Scientist, Web Scraping, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Data Analytics, GitHub

Business Intelligence Manager

2014 - 2015
MONOQI
  • Led the business intelligence department and its business analyst team for a 1 million-member startup.
  • Ensured data quality and information access by building dashboards and data pipelines from various sources and designing the data warehouse. Used SQL, AWS S3/Redshift/DP, and Ruby on Rails.
  • Accelerated daily newsletter generation time by a factor of 10 by initiating and supervising partial automation of the creation process.
  • Automated bidirectional data flow between the internal data warehouse and external marketing partners using Python.
Technologies: Amazon Web Services (AWS), Python, Ruby on Rails (RoR), Ruby, D3.js, AWS Data Pipeline Service, Amazon S3 (AWS S3), Redshift, PostgreSQL, Machine Learning, Data Engineering, Data Analysis, Data Scientist, Dashboards, Reports, Data Analytics, Databases, JavaScript, HTML, CSS

Junior Data Scientist

2013 - 2014
MONOQI
  • Identified 70% of future buyers by building a neural network model on early days activity. R, SQL.
  • Built and managed 100+ analytics dashboards and a custom interface for visualizing metrics. Used Ruby on Rails, NVD3.js, and SQL.
  • Increased conversion rate by 20% for members in the disengagement phase through A/B Testing programs.
Technologies: D3.js, PostgreSQL, Ruby on Rails (RoR), Ruby, R, Machine Learning, Data Engineering, Data Analysis, Data Scientist, Dashboards, Reports, Data Analytics, Databases

Visualization of Multimedia Datasets

https://github.com/Nathx/d3_cartography
Prototyped an interactive interface for displaying large volumes of multimedia data (cartography, stream graphs, and video tapestry).

Built using D3.js, Paper.js, and Raphael.js.

Parental Advisory Machine Learning

A text classification and pattern detection algorithm on movie subtitles for censorship rating prediction and discovery of underlying features.

Built using Python, Spark, Doc2Vec, Selenium, and Scrapy.
2016 - 2016

Certificate in Data Science

Galvanize - (via online at http://www.galvanize.com/)

2008 - 2012

Engineer's/Master's Combined Degree in Computer Science

École Centrale Paris - Paris, France

2006 - 2008

Bachelor's Degree in Physics & Engineering

Lycée et Collège LAKANAL - Sceaux, France

Libraries/APIs

Spark ML, React, Scikit-learn, NVD3, Raphaël, Matplotlib, D3.js, Mapbox GL, PyTorch

Tools

Google Analytics, GitHub, Atom, IPython, BigQuery, Tableau, Google AI Platform, GIS

Paradigms

Data Science, Agile Software Development

Frameworks

Apache Spark, Spark, Flask, GraphLab, Paper.js, Ruby on Rails (RoR), Django

Languages

Python, SQL, JavaScript, HTML, CSS, Ruby, R, TypeScript

Storage

PostgreSQL, Databases, Redshift, MongoDB, Amazon S3 (AWS S3), AWS Data Pipeline Service, Google Cloud, Google Cloud SQL

Platforms

Amazon Web Services (AWS), Amazon EC2, Linux, Mapbox, Google Cloud Platform (GCP), MacOS, GIS Cloud

Other

Machine Learning, Data Mining, Data Engineering, Geospatial Data, Computer Vision, Artificial Intelligence (AI), Image Processing, Data Analysis, Data Scientist, Dashboards, Reports, Data Analytics, Heatmaps, Web Scraping, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Full-stack, Google Cloud Machine Learning, Software Architecture, Data Visualization, Information Systems, Strategy, Technical Program Management, Business Development, Partnerships, New Products, Machine Learning Operations (MLOps), Prototyping, Mapping, Geospatial Analytics, Business to Business (B2B), Product Roadmaps, Product Development, Product Strategy, Sales, Fundraising, Augmented Reality (AR)

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