Victor Davis, Developer in Atlanta, GA, United States
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Victor Davis

Bio

Victor is an AWS-certified back-end developer with 15 years of experience. He has excellent written and verbal communication skills, both technical and non-technical, and is an intellectually curious, lifelong learner. Victor is a test-driven developer with an obsession for literate programming: he writes beautiful, readable, modular, maintainable, scalable, self-documenting code, along with the CI/CD pipelines to deploy it.

Portfolio

Resultant
Python, Google Cloud, Databricks, Apache Airflow, Kubernetes, Docker, FastAPI...
Toptal Clients
Statistics, Machine Learning, Data Analysis, SQL, R, Python, Flask, APIs...
Evident ID
PDF, Tesseract, Graph Theory, Bayesian Statistics...

Experience

  • Mathematics - 15 years
  • SQL - 10 years
  • Python - 8 years
  • R - 6 years
  • Machine Learning - 4 years
  • Statistics - 4 years
  • Amazon Web Services (AWS) - 4 years
  • Natural Language Processing (NLP) - 2 years

Preferred Environment

GitHub, SQL, Linux, Python, Amazon Web Services (AWS), Back-end, Slack, PostgreSQL, Docker, Kubernetes

The most amazing...

...discovery I've ever published is a novel formula describing the type-token relation, which outperforms Heaps' Law.

Work Experience

Machine Learning Engineer

2024 - PRESENT
Resultant
  • Researched and implemented best practices for building out and scaling a state government record linkage and data exchange system using Airflow, Kubernetes, Google Cloud Platform (GCP), and related tools.
  • Augmented the data science staff of a large rental car company, wrangling messy real-world data to produce actionable insights for optimizing fleet operations using Databricks and related tools.
  • Maintained industry certifications and engaged in regular weekly learning to continue growing my skills and leaning into new tools.
Technologies: Python, Google Cloud, Databricks, Apache Airflow, Kubernetes, Docker, FastAPI, PostgreSQL

Data Scientist

2018 - PRESENT
Toptal Clients
  • Acted as the principal developer of the Data Analytics library for a fintech startup building, validating, and monitoring financial models (Python). [Brussels, BE].
  • Served as a Back-end developer and data scientist contributing to a B2B Marketing SaaS product (Python). [London, UK].
  • Presented talks at trade conferences and published in trade journals. [New York, US].
  • Created data visualization software for pediatric doctors to share diagnosis and treatment information across centers using R. [Santiago, CL].
  • Served as a corporate trainer teaching the R, a programming language. [Seattle, US].
  • Tested and optimized code for hotel pricing software using R. [Brussels, BE].
Technologies: Statistics, Machine Learning, Data Analysis, SQL, R, Python, Flask, APIs, Artificial Intelligence (AI), Data Analytics, Statistical Analysis, Pandas, NumPy, Data Science, RStudio, Predictive Modeling, Predictive Analytics, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Text Analytics, Clustering, Linear Regression, Logistic Regression, Statistical Modeling, Model Validation, Monte Carlo Simulations, Markov Chain Monte Carlo (MCMC) Algorithms, Monte Carlo, Scikit-learn, Jupyter Notebook, RStudio Shiny, Data Queries, Object-relational Mapping (ORM), Bash, Bash Script, Unit Testing, JSON Web Tokens (JWT), API Development, REST, Test-driven Development (TDD), Docker, Financial Modeling, REST APIs, Amazon EC2, GitHub, Redshift, Analytics, Transact-SQL (T-SQL), PHP, JavaScript, HTML, CSS, Data Modeling, Data Visualization, Back-end, Object-oriented Programming (OOP), Git, JSON, Fintech, API Integration, Databases, Amazon Machine Learning, Amazon SageMaker

Senior Software/Machine Learning Engineer

2022 - 2024
Evident ID
  • Developed a document extraction service using strong grounding in math concepts (graph theory, Bayesian inference, information theory, linear algebra) and machine learning to build and scale an in-house product for machine-assisted data entry.
  • Owned the frontline low-level blob-to-structured-data component of a complex data pipeline analyzing documents for an "Insurance Verification as a Service" product.
  • Leveraged a complex human-in-the-loop sampling and verification process for end-to-end quality assurance beyond standard unit and integration testing.
Technologies: PDF, Tesseract, Graph Theory, Bayesian Statistics, Optical Character Recognition (OCR)

IT Consultant

2014 - 2018
Boaz Media Network Solutions
  • Supported operators in inventory control, BOM and router management, material ordering, and logistical optimization.
  • Created BI dashboards and KPI scorecards communicating floor metrics to the C-level.
  • Wrote reports using Crystal and SSRS for all the departments.
  • Generated performance metrics through complex data mining and SQL data wrangling.
  • Developed software and analytical tools for miscellaneous clients.
Technologies: Microsoft SQL Server, SQL, R, Data Analytics, RStudio, Microsoft Excel, ETL, Bash, Bash Script, Data Analysis, Analytics, API Integration, Databases

Software Developer

2010 - 2014
Waffle House
  • Created interactive Google Maps using JavaScript, KML, and mathematical functions.
  • Implemented mathematical algorithms in COBOL to boost processing speed.
  • Generated BI reports based on analytical insights using SQL and R.
  • Wrote adapters for getting multi-generation platforms to communicate using principles of strong data design.
  • Built interactive Excel and SSRS reports based on business data.
Technologies: MySQL, PHP, JavaScript, Microsoft SQL Server, ETL, Bash, Bash Script, HTML, CSS, Object-oriented Programming (OOP), SQL Stored Procedures, Stored Procedure, Transact-SQL (T-SQL), Databases

Sales Manager

2006 - 2009
Vector Marketing
  • Sold $60,000 in Cutco Cutlery in customers' homes personally.
  • Created $98,000 in new business by managing a seasonal branch office in Columbus, GA.
  • Conducted individual and group interviews, ran training classes, and managed a team of sales reps.
Technologies: Sales, Management

Experience

Legomena

https://github.com/victordavis/legomena
A personal passion project developed and maintained a PyPi package complementing a computation linguistics paper published in Glottotheory (https://arxiv.org/pdf/1901.00521.pdf). The paper explores and refines ideas in information theory and NLP, particularly with regard to Heaps' Law.

Fast Character-level N-gram Language Model for Research Purposes

https://github.com/VictorDavis/chlengmo
I created this character-level N-gram language model package because I found the online tutorials for working with NLTK quite cumbersome, confusing, and slow. N-gram models are nowhere near the cutting edge of language modeling. However, they are still useful for establishing baselines, running simple information, like theoretic experiments and calculations, and overall useful for NLP research. This package is fast and truly plug-and-play.

Education

2005 - 2007

Bachelor of Science Degree in Mathematics

Southern Polytechnic State University - Marietta, Georgia, USA

Certifications

NOVEMBER 2022 - NOVEMBER 2025

AWS Certified Developer – Associate

Amazon Web Services

OCTOBER 2021 - JANUARY 2028

AWS Certified Cloud Practitioner

Amazon Web Services

SEPTEMBER 2021 - SEPTEMBER 2024

AWS Certified Machine Learning – Specialty

Amazon Web Services

Skills

Libraries/APIs

Scikit-learn, TensorFlow, Pandas, NumPy, API Development, REST APIs

Tools

GitHub, Git, Microsoft Excel, Apple Aperture, Slack, Apache Airflow, Amazon SageMaker

Languages

Python, R, SQL, JavaScript, PHP, Bash, Bash Script, HTML, CSS, Stored Procedure, Transact-SQL (T-SQL), Java

Paradigms

Unit Testing, Test-driven Development (TDD), Object-oriented Programming (OOP), Object-relational Mapping (ORM), ETL, REST, Management

Frameworks

Flask, RStudio Shiny, JSON Web Tokens (JWT)

Platforms

RStudio, Linux, Jupyter Notebook, Amazon Web Services (AWS), Docker, Amazon EC2, AWS Lambda, LAMP, Kubernetes, Databricks

Storage

MySQL, Microsoft SQL Server, Databases, Redshift, Amazon DynamoDB, SQL Stored Procedures, JSON, PostgreSQL, Google Cloud

Other

Mathematics, Data Queries, Back-end, Data Analysis, Statistics, Artificial Intelligence (AI), Data Science, APIs, Analytics, Data Modeling, Predictive Modeling, Predictive Analytics, Text Analytics, Machine Learning, Natural Language Processing (NLP), Clustering, Data Analytics, Linear Regression, Logistic Regression, Statistical Analysis, Statistical Modeling, Model Validation, Monte Carlo Simulations, Markov Chain Monte Carlo (MCMC) Algorithms, Monte Carlo, Financial Modeling, Sales, 3D Math, Linear Optimization, Data Visualization, Fintech, API Integration, XAMPP Stack, Generative Pre-trained Transformers (GPT), FastAPI, PDF, Tesseract, Graph Theory, Bayesian Statistics, Optical Character Recognition (OCR), Amazon Machine Learning

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