# Nikolay A.

> Full stack

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/nikolay

Senior Software Engineer with expertise in full-stack development, machine learning, and DevOps practices. My expertise spans across a wide range of languages, frameworks, and technologies. I have extensive experience in software development, machine learning, and cloud computing, coupled with an ability to lead teams and projects.

Languages & Technologies:

● Languages: Python, React, React Native, JavaScript, PHP, C, C++, Bash, HTML, CSS
● Data Science & Machine Learning: Pandas, Numpy, Scikit-learn, TensorFlow, XGBoost, Matplotlib, Plotly, Polars
● Web Development: Flask, FastAPI, Nginx, Selenium, Playwright, SQLAlchemy, Pydantic, Geoalchemy
● DevOps & CI/CD: Git, Jira, Bitbucket, Github actions, AWS CodeBuild, Docker, Kubernetes, AWS EKS, Grafana, Prometheus
● Database: PostgreSQL, AWS RDS, PostGIS
● Cloud Computing: AWS EC2, AWS S3, AWS Lambda, AWS EFS, AWS MSK, AWS Gateway, AWS Codebuild

## Work Experience
### Founding Senior Software Engineer @ Ethos
Jan 2024 – Present | New York City Metropolitan Area

### Senior Software Engineer @ EZOPS Inc
Jan 2019 – Jan 2024
● Created a Python / React prototype for a low-code ETL tool that generated a $3 million investment and led to a company initiative to make it a core product offering
● Led and mentored a team of ten engineers to transform ETL prototype into a fully functional product
● Established patterns for our team for the development, testing, and deployment of code on multiple projects. This includes patterns for architecture, unit & integration testing (local & CI/CD), building/deployment of images, microservice communication, authentication, multi-tenancy, clean code, development tooling, and git branching
● Wrote multiple microservices spanning ETL, ML inference, task scheduling, & authentication/authorization
● Created algorithms to extract matching rules from reconciled data to drastically accelerate client onboarding from competitors
● Wrote >90% of machine learning codebase allowing clients to perform preprocessing, training, and inference on tabular data. Supported models include both supervised (boosted trees, neural networks) & unsupervised models for anomaly detection (autoencoders, isolation forests)
● Utilized Shapley Additive Explanations (SHAP) to enhance the interpretability of ML models, employing global explainers to uncover insights into models' overall decision-making process and local explainers to provide clients with per-record explanations for model predictions
● Created Slack CLI to manage AWS resources directly in Slack (Used over 24000 times saving 2000+ developer hours) & converted this tool to a LLM chatbot to help our team manage resources using natural language

### Intern @ Embarcadero Technologies
Jan 2017 – Jan 2018
Embarcadero: Library integration for Rad Studio 10.2.

• Ported numerous libraries written to work with other IDEs so that they run on C++ Builder. These include libraries such as Google Test, EasyBMP, TinyXML 2, Eigen and more
• Created library port tutorial video for company
• Helped with library deployment to customers

Tools & languages: C++, CMake, Ninja, Git & Github, SVN, Jira, Rad Studio, and Visual Studio.

### Intern @ University of Rochester
Jan 2011 – Jan 2012 | Rochester, New York Area
Study of aging & DNA repair (NHEJ) in mice using GFP probe. Lab techniques: protein extraction, SDS-PAGE, ligation/restriction of DNA, PCR, Lowry assay, viral and plasmid transfection, western blot and microscopy.

### Intern @ Steven’s Institute of Technology
Jan 2010 – Jan 2010
Study of Photodynamic Therapy (PDT) using nanoparticles. Cultured MCF-7 and keratinocyte cells and tested PDT using GNP-5-ALA conjugates on cultured cells. Lab techniques: MTT assay, microscopy, cell counting, and cell culture.

### Intern @ New York Medical College
Jan 2009 – Jan 2009
Study of Parkinson’s Disease & methylene blue. Objectives included neuroblastoma cell culture, protein extraction, and protein identification. Lab techniques: silver staining, cell culture, SDS-PAGE, polyacrylamide gel synthesis, and FPLC.


## Education
### Bachelor of Arts - BA in Mathematics and Computer Science
Rutgers University–Newark
Jan 2014 – Jan 2018

### High School Diploma
Dwight-Englewood School


## Contact & Social
- LinkedIn: https://linkedin.com/in/nikolay-a-2327a691

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Source: https://flows.cv/nikolay
JSON Resume: https://flows.cv/nikolay/resume.json
Last updated: 2026-03-20